1666 Clustering Jobs - Page 23

About Us Thoucentric is the Consulting arm of Xoriant, a prominent digital engineering services company with 5000+ employees. We are headquartered in Bangalore with presence across multiple locations in India, US, UK, Singapore & Australia Globally. As the Consulting business of Xoriant, We help clients with Business Consulting, Program & Project Management, Digital Transformation, Product Management, Process & Technology Solutioning and Execution including Analytics & Emerging Tech areas cutting across functional areas such as Supply Chain, Finance & HR, Sales & Distribution across US, UK, Singapore and Australia. Our unique consulting framework allows us to focus on execution rather than pure advisory. We are working closely with marquee names in the global consumer & packaged goods (CPG) industry, new age tech and start-up ecosystem. Xoriant (Parent entity) started in 1990 and is a Sunnyvale, CA headquartered digital engineering firm with offices in the USA, Europe, and Asia. Xoriant is backed by ChrysCapital, a leading private equity firm. Our strengths are now combined with Xoriant’s capabilities in AI & Data, cloud, security and operations services proven for 30 years. We have been certified as "Great Place to Work" by AIM and have been ranked as "50 Best Firms for Data Scientists to Work For". We have an experienced consulting team of over 450+ world-class business and technology consultants based across six global locations, supporting clients through their expert insights, entrepreneurial approach and focus on delivery excellence. We have also built point solutions and products through Thoucentric labs using AI/ML in the supply chain space. Job Description Role Summary: We are seeking a highly motivated and experienced Consultant to join our Sales and Customer Insights team. As a consultant, you will be responsible for delivering actionable insights to our clients that will help them improve their processes by data-driven decisions. You will work closely with our clients to understand their business needs, identify opportunities for improvement, and develop and implement effective solutions. Job Description: Conduct in-depth analysis of sales and customer specific data to identify key trends and patterns to enable the data-driven decision making. Having hands-on experience working with data is a must. Understand omnichannel sales (Offline and E-commerce) and data-sources to have a peer level conversation with clients on emerging business requirement in omnichannel ecosystem. Develop and implement strategies to improve sales performance and customer experience. Work closely with clients to understand their business needs and develop customized solutions. Provide insights and recommendations to clients based on data analysis and industry trends in the CPG, retail, and other industries. Good understanding of the user journey on E-commerce. Communicate findings and recommendations to clients in a clear and concise manner. Manage projects and ensure timely delivery of high-quality work. Handle budget, effort tracking, and product roadmap building with multiple stakeholders to ensure project delivery on time. Stay up to date with industry trends and developments in sales, customer experience, marketing analytics, and ecommerce technologies in the CPG, retail, and other customer-oriented industries. Effectively contribute to the growth of the company being part of internal initiatives, other than client deliverables. Requirements Qualifications: Strong educational background in Business, Marketing, Analytics, or a related field. 4-6 years of experience in sales and customer analytics, preferably with a focus on consumer industries. Strong analytical and problem-solving skills, with hands-on experience working with data. Prior experience of managing a product, handling a dashboard, and working with multiple stakeholders and across business and tech teams. Good functional understanding of the tech stack that powers the analytical dashboards Excellent communication and presentation skills. Experience in data analysis/ Business Intelligence/ visualization tools (e.g., Excel, Python, SQL, Power BI, Tableau) Having a functional understanding of predictive algorithms (Classification, Regression, Association, Clustering etc.) Experience with any web analytics tools (viz. Google Analytics, Adobe Analytics, Shopify Analytics etc.) is good to have Proven ability to manage projects and deliver high-quality work in time. Strong attention to detail and ability to work independently. Knowledge of industry trends and developments in sales, customer experience, and ecommerce technologies in the consumer industries. Experience working with cross-functional teams and delivering high-impact solutions. Having done projects in Sales Analytics, e-Commerce Analytics, Pricing & Promotion, RTM/ e-RTM Analytics, Category Analysis, Sentiment Analytics, Revenue Growth Management, Marketing Insights, Web Analytics, Customer Life Cycle Analytics, or any analytics in consumer space is must to have Benefits Personal Attributes Ability to cope in a complex and fast-changing business environment and to respond calmly and rationally to changing aspirations in a deadline-driven situation. Updated with the recent technology changes (ecommerce, digital, analytics and business trends). Works independently on complex processes and modules that may be used by one or more programs or systems. Strong planning and organizing skills including the ability to manage several work streams simultaneously. Excellent communication skills with a capacity to present, discuss and explain issues coherently and logically both in writing and verbally. Good influencing and persuasion skills with the ability to enthuse and inspire multidisciplinary teams and build successful relationships at all levels. Good team player, self-motivated and able to work on own initiatives. Clear decision-making ability with the facility to judge complex situations and assess when to escalate issues. Ability to balance conflicting and changing demands through prioritization and a pragmatic approach. Practice Name Sales Analytics Date Opened 06/16/2025 Work Mode Hybrid Job Type Full time Industry Consulting Corporate Office Thoucentric, Innovator Building, ITPL Office Zip/Postal Code 562149 City Banglore Country India State/Province Karnataka

ABOUT US: Bain & Company is a global consultancy that helps the world’s most ambitious change makers define the future. Across 61 offices in 39 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition and redefine industries. Since our founding in 1973, we have measured our success by the success of our clients, and we proudly maintain the highest level of client advocacy in the industry. In 2004, the firm established its presence in the Indian market by opening the Bain Capability Center (BCC) in New Delhi. The BCC is now known as BCN (Bain Capability Network) with its nodes across various geographies. BCN plays a critical role in supporting Bain's case teams globally to help with analytics and research across all industries, for corporate cases, client development, private equity diligence or Bain intellectual property. The BCN comprises of Consulting Services, Knowledge Services and Shared Services. WHO YOU’LL WORK WITH: This role is based out of the People & ORG CoE which sits in the broader Data & Tech cluster at the BCN. People & ORG CoE works on building and deploying analytical solutions pertaining to Operating Model and Organization Practice. The team primarily helps Bain case teams, across geographies and industries, solve critical client issues by applying battle-proven diagnostics/ solutions that can identify client pain points related to org, culture, and talent. The team also plays a significant role in creating, testing, and contributing to the proprietary products and Bain IP within the Org domain. This role will focus on development, maintenance and evolution of the state-of-the art org tool and data assets. WHAT YOU’LL DO: Become an expert and own, maintain and evolve advanced internal tools (Python focused) as well as help develop new tools with LLMs and GenAI, in individual capacity Be responsible for end-to-end handling of the entire tool process, i.e., developing Python scripts, troubleshooting errors, etc. Help with case delivery related to those tools and generate meaningful insights for Bain clients Potentially build and maintain internal web applications using front-end technologies (HTML, CSS, JavaScript) and frameworks like Streamlit; ensure compatibility across devices and browsers Work under the guidance of a Team Manager / Sr. Team Manager, playing a key role in driving the team’s innovation, especially on GenAI topics – identifying areas for automation and augmentation, helping team create efficiency gains Lead internal team calls and effectively communicate data, knowledge, insights and actionable next steps on tool development, relaying implications to own internal team where necessary Keep abreast of new and current statistical, database, machine learning, and advanced analytics techniques ABOUT YOU: Candidate should be a Graduate/ Post-graduate from top-tier college with strong academic background Must-have relevant experience of 4+ years on Python, with experience using/ building tools using GenAI, LLMs or Machine Learning will be preferred Advanced understanding of database design and Azure/ AWS servers functioning would be preferred Good to have experience in SQL, Git, and hands-on experience with statistical and machine learning models (e.g., regression, classification, clustering, NLP, ensemble methods), including practical application in business contexts Good to have experience of HTML, CSS, JavaScript (ES6+), pgadmin and low-code development tools such as Streamlit, Mendix, Power Apps Experience with data science/ data analytics and ETL tools such as Alteryx, Informatica, will be a plus Must be able to generate and screen realistic answers based on sound reality checks and recommend actionable solutions Must be willing to own and maintain high visibility and high impact product Experience in managing productized solutions will be helpful Excellent oral and written communication skills including the ability to communicate effectively with both technical and non-technical senior stakeholders Ability to prioritize projects, manage multiple competing priorities and drive projects to completion under tight deadlines WHAT MAKES US A GREAT PLACE TO WORK: We are proud to be consistently recognized as one of the world's best places to work, a champion of diversity and a model of social responsibility. We are currently ranked the #1 consulting firm on Glassdoor’s Best Places to Work list, and we have maintained a spot in the top four on Glassdoor's list for the last 12 years. We believe that diversity, inclusion and collaboration is key to building extraordinary teams. We hire people with exceptional talents, abilities and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally. We are publicly recognized by external parties such as Fortune, Vault, Mogul, Working Mother, Glassdoor and the Human Rights Campaign for being a great place to work for diversity and inclusion, women, LGBTQ and parents. Show more Show less

Who We Are At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities. The Role As a Message Broker SME below is your roles and responsibility: Role and Responsibilities You will be involved in designing, running and monitoring the infrastructure to support MQ & MB servers. You will be supporting WebSphere infrastructures with multiple Middle ware products. You will be installing and configuring WMQ v.9 or older versions and IIB V9 & v10 on UNIX and Windows environments. Supporting large scale WebSphere infrastructures with multiple middle ware products. Create MQ objects like Queue Managers, Queues, Channels, Listeners etc. Implement Distributed Queuing on various platforms. Implement Triggering and work on both Channel and Application Triggering by configuring and monitoring the Channel Initiators and Trigger Monitors. Implementing Clustering mechanism to reduce the administrative tasks. Work on Client-Server architecture for one to one and one to many connections. Proven experience with WebSphere ND Ability and web servers to install, deploy and administration large WebSphere infrastructures. Who You Are You’re good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others. Required Technical And Professional Experience Relevant experience of 7 to 10 Years in Middleware (MQ/MB) administration role Carried out installation and configuration using MQ/MB You will be supporting MQ DR activities. You must know how to configure various methods of implementing MQ in HA. You Must know various methods of Authentication and Authorization in MQ. You must know how to implement AMS in MQ. Prior experience in a production support experience Ability to write Shell /Perl scripts, decode existing scripts and modify as per requirements. Considerable initiative and judgment relative to problem determination / resolution. Exposure to infrastructure technologies. Experience in WebSphere performance monitoring/tuning and optimization/capacity planning. Preferred Expertise MQ/MB knowledge for both Windows and UNIX environment. Preferred Technical And Professional Experience You love collaborative environments that use agile methodologies to encourage creative design thinking and find innovative ways to develop with cutting edge technologies Ambitious individual who can work under their own direction towards agreed targets/goals and with creative approach to work Intuitive individual with an ability to manage change and proven time management Proven interpersonal skills while contributing to team effort by accomplishing related results as needed Up-to-date technical knowledge by attending educational workshops, reviewing publications Being You Diversity is a whole lot more than what we look like or where we come from, it’s how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we’re not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you – and everyone next to you – the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That’s the Kyndryl Way. What You Can Expect With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter – wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed. Get Referred! If you know someone that works at Kyndryl, when asked ‘How Did You Hear About Us’ during the application process, select ‘Employee Referral’ and enter your contact's Kyndryl email address. Show more Show less

Job Title: Senior Machine Learning Engineer Location: On Site / [Gurgaon, India] Experience: 5+ Years Type: Full-time / Contract About the Role We are looking for an experienced Machine Learning Engineer with a strong background in building, deploying, and scaling ML models in production environments. You will work closely with Data Scientists, Engineers, and Product teams to translate business challenges into data-driven solutions and build robust, scalable ML pipelines. This is a hands-on role requiring a blend of applied machine learning, data engineering, and software development skills. Key Responsibilities Design, build, and deploy machine learning models to solve real-world business problems Work on the end-to-end ML lifecycle: data preprocessing, feature engineering, model selection, training, evaluation, deployment, and monitoring Collaborate with cross-functional teams to identify opportunities for machine learning across products and workflows Develop and optimize scalable data pipelines to support model development and inference Implement model retraining, versioning, and performance tracking in production Ensure models are interpretable, explainable, and aligned with fairness, ethics, and compliance standards Continuously evaluate new ML techniques and tools to improve accuracy and efficiency Document processes, experiments, and findings for reproducibility and team knowledge-sharing Requirements 5+ years of hands-on experience in machine learning, applied data science, or related roles Strong foundation in ML algorithms (regression, classification, clustering, NLP, time series, etc.) Experience with production-level ML deployment using tools like MLflow, Kubeflow, Airflow, FastAPI , or similar Proficiency in Python and libraries like scikit-learn, TensorFlow, PyTorch, XGBoost, pandas, NumPy Experience with cloud platforms (AWS, GCP, or Azure) and containerized environments (Docker, Kubernetes) Strong understanding of software engineering principles and experience with Git, CI/CD, and version control Experience with large datasets, distributed systems (Spark/Databricks), and SQL/NoSQL databases Excellent problem-solving, communication, and collaboration skills Nice to Have Experience with LLMs, Generative AI , or transformer-based models Familiarity with MLOps best practices and infrastructure as code (e.g., Terraform) Experience working in regulated industries (e.g., finance, healthcare) Contributions to open-source projects or ML research papers Why Join Us Work on impactful problems with cutting-edge ML technologies Collaborate with a diverse, expert team across engineering, data, and product Flexible working hours and remote-first culture Opportunities for continuous learning, mentorship, and growth Show more Show less

Job Description As a member of the Support organization, your focus is to deliver post-sales support and solutions to the Oracle customer base while serving as an advocate for customer needs. This involves resolving post-sales non-technical customer inquiries via phone and electronic means, as well as, technical questions regarding the use of and troubleshooting for our Electronic Support Services. A primary point of contact for customers, you are responsible for facilitating customer relationships with Support and providing advice and assistance to internal Oracle employees on diverse customer situations and escalated issues. As a Senior Systems Engineer, you will interface with the customer's IT staff on a regular basis. Either at the client's site or from a remote location, you will be responsible for resolution of moderately complex technical problems related to the installation, recommended maintenance and use and repair/workarounds for Oracle products. You should be highly experienced in some Oracle products and several platforms that are being supported. You will be expected to work with only general guidance from management while advising management on progress/status. Job duties are varied and complex utilizing independent judgment. May have project lead role. Because of substantial customer interfacing, a demonstrated ability to work with customers on an independent basis with exceptional communication skills, while consistently achieving the highest levels of customer satisfaction is essential. A Bachelor's degree in Computer Science, Engineering or equivalent experience is preferred with five years related experience. Experience with Oracle's core products, applications, and tools is important. Career Level - IC3 Responsibilities The Advanced Customer Services (ACS) is a unit within the Oracle’s Customer Service Organization that establishes long-term relationships with many of Oracle's customers through annuity-based service contracts and project based one-time services. ACS services team sells from a broad IT-services portfolio both in fixed price and T&M basis. ACS services are typically requested by large Oracle customers that require the utmost attention to real mission critical applications and processes. ACS covers the majority of large scale Oracle customers. Oracle Advanced Customer Services provides unmatched, tailored support that ensures organization’s Oracle technology investments deliver the cutting-edge innovation and performance your business requires to compete, all while coexisting within your IT environment. ACS is industry-leading expertise with the highest customer satisfaction to support organization’s business every step of the way.  Available to work in 24X7 capability.  Install, configure, and Administer Oracle WebLogic Server  Expert knowledge of Oracle WebLogic Architecture, WebLogic clustering and Domain config.  Good WebLogic troubleshooting skills.  Worked on WebLogic upgrades and patching.  Knowledge on Performance Tuning of WebLogic server components and monitoring aspects of WebLogic.  Good communication and customer management skills.  At least 7 plus years of experience with Oracle WebLogic Administrator/Consultant/Support Engineer  BE/BTech and/or MS in Computer Science or equivalent preferred  Oracle WebLogic / SOA / OCI Certification - Preferred  Candidates having optional skills of Docker, Kubernetes, and Containers is a Plus!  Experience in Oracle Enterprise Manager (OEM) 11g/12c/13c is a plus.  Sharp technical troubleshooting skills.  Good understanding of support processes.  Ability to manage escalated technical situations & develop action plans.  Ability to spot proactive services that benefit of customer.  Ability to facilitate issues with Development and Support.  Strong analytical skills.  Some travel may be required. Detailed Description And Job Requirements  As a member of the Support organization, your focus is to deliver postsales support and solutions to the Oracle customer base while serving as an advocate for customer needs. This involves resolving post-sales nontechnical customer inquiries via phone and electronic means, as well as technical questions regarding the use of and troubleshooting for our Electronic Support Services.  A primary point of contact for customers, you are responsible for facilitating customer relationships with Support and providing advice and assistance to internal Oracle employees on diverse customer situations and escalated issues.  As an Advanced Support Engineer, you will interface with the customer’s IT staff on a regular basis. Either at the client’s site or from a remote location, you will be responsible for resolution of moderately complex technical problems related to the installation, recommended maintenance and use and repair/workarounds for Oracle products.  You should be highly experienced in some Oracle products and several platforms that are being supported.  You will be expected to work with only general guidance from management while advising management on progress/status.  Job duties are varied and complex utilizing independent judgment. May have project lead role.  Because of substantial customer interfacing, a demonstrated ability to work with customers on an independent basis with exceptional communication skills, while consistently achieving the highest levels of customer satisfaction is essential. About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Show more Show less

As a Senior Manager for data science, data modelling & Analytics, you will lead a team of data scientists and analysts while actively contributing to the development and implementation of advanced analytics solutions. This role requires a blend of strategic leadership and hands-on technical expertise to drive data-driven decision-making across the organization. Job Description: Key Responsibilities Hands-On Technical Contribution Design, develop, and deploy advanced machine learning models and statistical analyses to solve complex business problems. Utilize programming languages such as Python, R, and SQL to manipulate data and build predictive models. Understand end-to-end data pipelines, including data collection, cleaning, transformation, and visualization. Collaborate with IT and data engineering teams to integrate analytics solutions into production environments. Provide thought leadership on solutions and metrics based on the understanding of nature of business requirement. Team Leadership & Development Lead, mentor, and manage a team of data scientists and analysts, fostering a collaborative and innovative environment. Provide guidance on career development, performance evaluations, and skill enhancement. Promote continuous learning and adoption of best practices in data science methodologies. Engage and manage a hierarchical team while fostering a culture of collaboration. Strategic Planning & Execution Collaborate with senior leadership to define the data science strategy aligned with business objectives. Identify and prioritize high-impact analytics projects that drive business value. Ensure the timely delivery of analytics solutions, balancing quality, scope, and resource constraints. Client Engagement & Stakeholder Management Serve as the primary point of contact for clients, understanding their business challenges and translating them into data science solutions. Lead client presentations, workshops, and discussions to communicate complex analytical concepts in an accessible manner. Develop and maintain strong relationships with key client stakeholders, ensuring satisfaction and identifying opportunities for further collaboration. Manage client expectations, timelines, and deliverables, ensuring alignment with business objectives. Develop and deliver regular reports and dashboards to senior management, market stakeholders and clients highlighting key insights and performance metrics. Act as a liaison between technical teams and business units to align analytics initiatives with organizational goals. Cross-Functional Collaboration Work closely with cross capability teams such as Business Intelligence, Market Analytics, Data engineering to integrate analytics solutions into business processes. Translate complex data insights into actionable recommendations for non-technical stakeholders. Facilitate workshops and presentations to promote data driven conversations across the organization. Closely working with support functions to provide timely updates to leadership on operational metrics. Governance & Compliance Ensure adherence to data governance policies, including data privacy regulations (e.g., GDPR, PDPA). Implement best practices for data quality, security, and ethical use of analytics. Stay informed about industry trends and regulatory changes impacting data analytics. Qualifications Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Experience: 12+ years of experience in advanced analytics, data science, data modelling, machine learning, Generative AI or a related field with 5+ years in a leadership capacity. Proven track record of managing and delivering complex analytics projects. Familiarity with the BFSI/Hi Tech/Retail/Healthcare industry and experience with product, transaction, and customer-level data Experience with media data will be advantageous Technical Skills: Proficiency in programming languages like Python, R, or SQL. Experience with data visualization tools (e.g., Tableau, Power BI). Familiarity with big data platforms (e.g., Hadoop, Spark) and cloud services (e.g., AWS, GCP, Azure). Knowledge of machine learning frameworks and libraries. Soft Skills: Strong analytical and problem-solving abilities. Excellent communication and interpersonal skills. Ability to influence and drive change within the organization. Strategic thinker with a focus on delivering business outcomes. Desirable Attributes Proficient in the following advanced analytics techniques (Should have proficiency in most) Descriptive Analytics: Statistical analysis, data visualization. Predictive Analytics: Regression analysis, time series forecasting, classification techniques, market mix modelling Prescriptive Analytics: Optimization, simulation modelling. Text Analytics: Natural Language Processing (NLP), sentiment analysis. Extensive knowledge of machine learning techniques, including (Should have proficiency in most) Supervised Learning: Linear regression, logistic regression, decision trees, support vector machines, random forests, gradient boosting machines among others Unsupervised Learning: K-means clustering, hierarchical clustering, principal component analysis (PCA), anomaly detection among others Reinforcement Learning: Q-learning, deep Q-networks, etc. Experience with Generative AI and large language models (LLMs) for text generation, summarization, and conversational agents (Good to Have) Researching, loading and application of the best LLMs (GPT, Gemini, LLAMA, etc.) for various objectives Hyper parameter tuning Prompt Engineering Embedding & Vectorization Fine tuning Proficiency in data visualization tools such as Tableau or Power BI (Good to Have) Strong skills in data management, structuring, and harmonization to support analytical needs (Must have) Location: Bengaluru Brand: Merkle Time Type: Full time Contract Type: Permanent

JOB TITLE: Senior Lead Database Engineer - Devops DEPARTMENT: Infrastructure Platform Engineering REPORTING TO: Senior Manager – Database Solutions The Senior Lead Database Engineer is a technical authority on Database based projects and will provide production and development support for all LSEG BSL database applications. This includes design, deployment, migration, automation and operational support of critically important Oracle and SQL Server databases hosted on the Microsoft Azure platform. You will work closely with DB Design, Application and Cloud teams to build robust, scalable and secure databases environments in Azure using industry standard methodologies and ensuring these systems are maintained to these standards. The role involves designing and implementing the database strategies for backup and recovery, performance analysis, clustering, data management, user and developer assistance, and be a point of escalation. Also responsible for database connectivity using ODBC, JDBC or vendor specific architectures. Key responsibilities of the role: Leads projects’ priorities and outcomes. Evaluates new database features, emerging database technologies, and database reference architecture on premise and in public / private cloud. Contributes to defining company standards for infrastructure including servers, storage, networking, converged / hyper-converged infrastructure, and VMware technologies. Leads database technology strategies for migration, consolidation, replication, partitioning, backup & recovery, and prevention of data corruption. Leads development and maintenance of database designs, builds, patching and security capabilities using company tools and standards to improve the availability, scalability, latency, and efficiency of LSEG’s services. Assists Cybersecurity in maintaining an appropriate database security policy and evaluate applications to ‘police’ alignment to policy. Liaises with external vendors, application teams and business lines to determine database requirements / proposals for delivering maximum benefit to the business. Provides guidance in Business Continuity, High Availability, and Disaster Recovery strategies. Monitors and handles database resources to ensure optimum performance. Writes and reviews highly optimised and accurate code for LSEG database infrastructure and suggests improvements to existing code. Defines and maintains strategies for database management to include both manual procedures/spot checks and automated alerts. Provides mentorship and trains other team members on design techniques and coding standards, nurtures innovation and teamwork, and assists with complex critical issues. Assists Unix and Windows administrators to support applications requiring database expertise. Design, Develop, Deploy and Migrate responsibilities: Define standards for Database deployments Define data migration approaches Develop automation for database deployment and maintenance using DevOps tools and Infrastructure-as-Code (IaC) practices. Play a key role in solution design and implementation of database infrastructure (SQL Server) in Azure. Define and validate database migration plans from on-premise to Azure. Develop and maintain CI/CD pipelines specific to database. Ensure alignment with defined Database standards. Apply security standard methodologies and compliance controls for database access. Operations responsibilities: DB Platform Maintenance - Maintain the Database platform including Infrastructure, Code and Integrations to provide a robust database service to the application teams. Key behaviours and skills required to be successful in the role: Experience supporting business critical applications and servers in a multi data center/ multisite environment. Familiarity with IaC and DevOps tools and practices. Ability to develop automation to provision and manage SQL Server DB workloads on Azure. Automation DBA responsibilities SRE / DevOps (Python, Terraform, Ansible, Powershell Scripting / Bash / Korn Shell Scripting, GitHub/Gitlab, Bitbucket, Jenkins, Rundeck, Hashicorp Vault, docker, Kubernetes, helm charts etc.). RDBMS (Oracle, SQL Server, PostgreSQL etc). Azure, AWS (RDS and EC2) Cloud Database Skills. Extensive experience in Programming, Automation and DevOps. Familiar with Database Programming Languages: Oracle SQL and PL/SQL, SQL Server TSQL Scripting Other Requirements: Experience with Oracle (11g – 23ai), SQL Server (2008 – 2022), or Sybase ASE (15 - 16) would be very favourably considered. High Availability and Disaster Recovery with different replication technologies. Experience of working in the finance/banking sector would be an advantage. Advanced problem solving skills, able to think clearly under pressure and across technology boundaries. Able to prioritise work and present a clear list of tasks and time frames to management. Understanding of ITIL Service Framework. Familiarity with monitoring products. Optional Requirements: Experience with Delphix. Experience in Citrix, Web Development, Control-M, Service Now. Skills in Perl scripting and other Database technologies such as MySQL, MongoDB. Familiar with Distributed Transactions and Data Warehousing. Knowledge/Experience in using database migration tools Required Behavioural Skills: Strong persuading and influencing skills. Proficient communicator (verbal and written) at business and technical levels. Excellent problem solving skills. Able to work independently with minimal direction. Collaborate closely with various levels of staff within the organisation. Great teammate. Must be motivated to progress in the role. Self starter with the ability to plan and handle work efficiently. Pragmatic approach. Willingness to share experience / knowledge. LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions. Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject . If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com. Job Description Role Purpose The purpose of this role is to provide significant technical expertise in architecture planning and design of the concerned tower (platform, database, middleware, backup etc) as well as managing its day-to-day operations ͏ 5+ years of experience in PostgreSQL Database Administration Design, configure, test, and support high-availability clustering utilizing PostgreSQL technologies Responsible for understanding operational requirements including Hardware, Architecture, configuration, Integration and maintaining mission-critical Production PostgreSQL databases. Responsible for all Logical and Physical backup & recovery even PITR recovery. Deep understanding about streaming replication and barman backups\recovery. Should poses knowledge on authentication and privilege management. Manage Clusters and upgrading/migrating various PostgreSQL database version. Performance Tuning, Replication, and develop database automation scripts and maintenance. Proficiency logical and physical design of database, monitoring and troubleshooting. Knowledge in DB2 LUW and Mongodb administration is added advantage Provide technical guidance for integration, testing, design, development, planning of new production systems/databases. ͏ Team Management Resourcing Forecast talent requirements as per the current and future business needs Hire adequate and right resources for the team Train direct reportees to make right recruitment and selection decisions Talent Management Ensure 100% compliance to Wipro’s standards of adequate onboarding and training for team members to enhance capability & effectiveness Build an internal talent pool of HiPos and ensure their career progression within the organization Promote diversity in leadership positions Performance Management Set goals for direct reportees, conduct timely performance reviews and appraisals, and give constructive feedback to direct reports. Ensure that organizational programs like Performance Nxt are well understood and that the team is taking the opportunities presented by such programs to their and their levels below Employee Satisfaction and Engagement Lead and drive engagement initiatives for the team Track team satisfaction scores and identify initiatives to build engagement within the team Proactively challenge the team with larger and enriching projects/ initiatives for the organization or team Exercise employee recognition and appreciation ͏ Deliver No Performance Parameter Measure 1 Operations of the tower SLA adherence Knowledge management CSAT/ Customer Experience Identification of risk issues and mitigation plans Knowledge management 2 New projects Timely delivery Avoid unauthorised changes No formal escalations ͏ Mandatory Skills: PostgreSQL Database Admin. Experience: 5-8 Years. Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

About the Role : We are seeking a highly skilled Senior AI/ML Engineer to join our dynamic team. The ideal candidate will have extensive experience in designing, building, and deploying machine learning models and AI solutions to solve real-world business challenges. You will collaborate with cross-functional teams to create and integrate AI/ML models into end-to-end applications, ensuring models are accessible through APIs or product interfaces for real-time usage. Responsibilities Lead the design, development, and deployment of machine learning models for various use cases such as recommendation systems, computer vision, natural language processing (NLP), and predictive analytics. Work with large datasets to build, train, and optimize models using techniques such as classification, regression, clustering, and neural networks. Fine-tune pre-trained models and develop custom models based on specific business needs. Collaborate with data engineers to build scalable data pipelines and ensure the smooth integration of models into production. Collaborate with frontend/backend engineers to build AI-driven features into products or platforms. Build proof-of-concept or production-grade AI applications and tools with intuitive UIs or workflows. Ensure scalability and performance of deployed AI solutions within the full application stack. Implement model monitoring and maintenance strategies to ensure performance, accuracy, and continuous improvement of deployed models. Design and implement APIs or services that expose machine learning models to frontend or other systems Utilize cloud platforms (AWS, GCP, Azure) to deploy, manage, and scale AI/ML solutions. Stay up-to-date with the latest advancements in AI/ML research, and apply innovative techniques to improve existing systems. Communicate effectively with stakeholders to understand business requirements and translate them into AI/ML-driven solutions. Document processes, methodologies, and results for future reference and reproducibility. Required Skills & Qualifications Experience : 5+ years of experience in AI/ML engineering roles, with a proven track record of successfully delivering machine learning projects. AI/ML Expertise : Strong knowledge of machine learning algorithms (supervised, unsupervised, reinforcement learning) and AI techniques, including NLP, computer vision, and recommendation systems. Programming Languages : Proficient in Python and relevant ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras. Data Manipulation : Experience with data manipulation libraries such as Pandas, NumPy, and SQL for managing and processing large datasets. Model Development : Expertise in building, training, deploying, and fine-tuning machine learning models in production environments. Cloud Platforms : Experience with cloud platforms such as AWS, GCP, or Azure for the deployment and scaling of AI/ML models. MLOps : Knowledge of MLOps practices for model versioning, automation, and monitoring. Data Preprocessing : Proficient in data cleaning, feature engineering, and preparing datasets for model training. Strong experience building and deploying end-to-end AI-powered applications— not just models but full system integration. Hands-on experience with Flask, FastAPI, Django, or similar for building REST APIs for model serving. Understanding of system design and software architecture for integrating AI into production environments. Experience with frontend/backend integration (basic React/Next.js knowledge is a plus). Demonstrated projects where AI models were part of deployed user-facing applications. NLP & Computer Vision: Hands-on experience with natural language processing or computer vision projects. Big Data: Familiarity with big data tools and frameworks (e.g., Apache Spark, Hadoop) is an advantage. Problem-Solving Skills: Strong analytical and problem-solving abilities, with a focus on delivering practical AI/ML solutions. Nice to Have Experience with deep learning architectures (CNNs, RNNs, GANs, etc.) and techniques. Knowledge of deployment strategies for AI models using APIs, Docker, or Kubernetes. Experience building full-stack applications powered by AI (e.g., chatbots, recommendation dashboards, AI assistants, etc.). Experience deploying AI/ML models in real-time environments using API gateways, microservices, or orchestration tools like Docker and Kubernetes. Solid understanding of statistics and probability. Experience working in Agile development environments. What You'll Gain Be part of a forward-thinking team working on cutting-edge AI/ML technologies. Collaborate with a diverse, highly skilled team in a fast-paced environment. Opportunity to work on impactful projects with real-world applications. Competitive salary and career growth opportunities Job Type: Full-time Pay: ₹1,000,000.00 - ₹1,200,000.00 per year Schedule: Day shift Fixed shift Work Location: In person

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Microsoft Azure Databricks Good to have skills : NA Minimum 7.5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. You will collaborate with teams and contribute to key decisions, providing solutions to problems for your immediate team and across multiple teams. Your typical day will involve designing and implementing applications, troubleshooting issues, and ensuring the applications meet the required specifications and standards. Roles & Responsibilities: - Expected to be an SME, collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Design and implement applications based on business process and application requirements. - Troubleshoot and resolve issues in applications. - Ensure applications meet the required specifications and standards. - Collaborate with cross-functional teams to gather requirements and provide technical expertise. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft Azure Databricks. - Strong understanding of statistical analysis and machine learning algorithms. - Experience with data visualization tools such as Tableau or Power BI. - Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. - Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: - The candidate should have a minimum of 7.5 years of experience in Microsoft Azure Databricks. - This position is based at our Bengaluru office. - A 15 years full-time education is required. Show more Show less

Note: Please apply only if you have 6 years or more of relevant experience in Data Science (excluding internship) Comfortable working 5-days a week from Gurugram, Haryana Are an immediate joiner or currently serving your notice period About Eucloid At Eucloid, innovation meets impact. As a leader in AI and Data Science, we create solutions that redefine industries—from Hi-tech and D2C to Healthcare and SaaS. With partnerships with giants like Databricks, Google Cloud, and Adobe, we’re pushing boundaries and building next-gen technology. Join our talented team of engineers, scientists, and visionaries from top institutes like IITs, IIMs, and NITs. At Eucloid, growth is a promise, and your work will drive transformative results for Fortune 100 clients. What You’ll Do As a GenAI Engineer, you will play a pivotal role in designing and deploying data-driven and GenAI-powered solutions. Your responsibilities will include: Analyzing large sets of structured and unstructured data to extract meaningful insights and drive business impact. Designing and developing Machine Learning models, including regression, time series forecasting, clustering, classification, and NLP. Building, fine-tuning, and deploying Large Language Models (LLMs) such as GPT, BERT, or LLaMA for tasks like text summarization, generation, and classification. Working with Hugging Face Transformers, LangChain, and vector databases (e.g., FAISS, Pinecone) to develop scalable GenAI pipelines. Applying prompt engineering techniques and Reinforcement Learning with Human Feedback (RLHF) to optimize GenAI applications. Building and deploying models using Python, R, TensorFlow, PyTorch, and Scikit-learn within production-ready environments like Flask, Azure Functions, and AWS Lambda. Developing and maintaining scalable data pipelines in collaboration with data engineers. Implementing solutions on cloud platforms like AWS, Azure, or GCP for scalable and high-performance AI/ML applications. Enhancing BI and visualization tools such as Tableau, Power BI, Qlik, and Plotly to communicate data insights effectively. Collaborating with stakeholders to translate business challenges into GenAI/data science problems and actionable solutions. Staying updated on emerging GenAI and AI/ML technologies and incorporating best practices into projects. What Makes You a Fit Academic Background: Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, Statistics, or a related field. Technical Expertise: 6+ years of hands-on experience in applying Machine Learning techniques (clustering, classification, regression, NLP). Strong proficiency in Python and SQL, with experience in frameworks like Flask or Django. Expertise in Big Data environments using PySpark. Deep understanding of ML frameworks such as TensorFlow, PyTorch, and Scikit-learn. Hands-on experience with Hugging Face Transformers, OpenAI API, or similar GenAI libraries. Knowledge of vector databases and retrieval-augmented generation (RAG) techniques. Proficiency in cloud-based AI/ML deployment on AWS, Azure, or GCP. Experience in Docker and containerization for ML model deployment. Knowledge of code management methodologies and best practices for implementing scalable ML/GenAI solutions. Extra Skills: Experience in Deep Learning and Reinforcement Learning. Hands-on experience with NLP, Text Mining, and LLM architectures. Experience in business intelligence and data visualization tools (Tableau, Power BI, Qlik). Experience with prompt engineering and fine-tuning LLMs for production use cases. Ability to effectively communicate insights and translate technical work into business value. Why You’ll Love It Here Innovate with the Best Tech: Work on groundbreaking projects using AI, GenAI, LLMs, and massive-scale data platforms. Tackle challenges that push the boundaries of innovation. Impact Industry Giants: Deliver business-critical solutions for Fortune 100 clients across Hi-tech, D2C, Healthcare, SaaS, and Retail. Partner with platforms like Databricks, Google Cloud, and Adobe to create high-impact products. Collaborate with a World-Class Team: Join exceptional professionals from IITs, IIMs, NITs, and global leaders like Walmart, Amazon, Accenture, and ZS. Learn, grow, and lead in a team that values expertise and collaboration. Accelerate Your Growth: Access our Centres of Excellence to upskill and work on industry-leading innovations. Your professional development is a top priority. Work in a Culture of Excellence: Be part of a dynamic workplace that fosters creativity, teamwork, and a passion for building transformative solutions. Your contributions will be recognized and celebrated. About Our Leadership Anuj Gupta – Former Amazon leader with over 22 years of experience in building and managing large engineering teams. (B.Tech, IIT Delhi; MBA, ISB Hyderabad). Raghvendra Kushwah – Business consulting expert with 21+ years at Accenture and Cognizant (B.Tech, IIT Delhi; MBA, IIM Lucknow). Key Benefits Competitive salary and performance-based bonus. Comprehensive benefits package, including health insurance and flexible work hours. Opportunities for professional development and career growth. Location: Gurugram Submit your resume to saurabh.bhaumik@eucloid.com with the subject line “ Application: GenAI Engineer. ” Eucloid is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment. Show more Show less

🤖 Machine Learning Intern – Remote | Step into the Future of AI Are you fascinated by how machines learn, predict, and improve over time? Dive into the world of intelligent systems with Skillfied Mentor as a Machine Learning Intern and gain real-world experience in building ML models and handling data. 📍 Location: Remote / Virtual 💼 Job Type: Internship (Unpaid) 🕒 Schedule: Flexible working hours 🌟 About the Internship: As a Machine Learning Intern , you’ll work on projects that involve real datasets, basic algorithms, and collaborative problem-solving. This is your chance to apply coding and math to develop intelligent solutions. Understand core ML concepts like regression, classification & clustering Work with Python libraries like Scikit-learn, Pandas, NumPy Assist in preprocessing data, training models, and analyzing performance Explore real use-cases in recommendation, prediction, and automation Collaborate remotely with mentors and peers in the AI/ML field 🔍 You’re a Great Fit If You: ✅ Know or are learning Python and ML concepts ✅ Are curious about how algorithms work behind the scenes ✅ Can commit 5–7 hours per week (remotely and flexibly) ✅ Are analytical, logical, and love experimenting with data ✅ Want to build practical machine learning projects for your future 🎁 What You’ll Gain: 📜 Certificate of Completion 📂 Hands-On ML Projects for Resume & GitHub 🧠 Practical Exposure to Model Building & Evaluation 📈 Experience in Solving Real Problems with Machine Learning ⏳ Last Date to Apply: 20th June 2025 Whether you're a student, beginner, or transitioning into AI – this internship will help you develop real, applicable skills in Machine Learning . 👉 Apply now and let your ML journey begin with Skillfied Mentor. Show more Show less

Job Title: Senior SQL Server DBA Location: Bangalore / Pune (Hybrid – 3 days onsite) Experience: 6+ years Job Summary: We are hiring a Senior SQL Server DBA with strong expertise in AlwaysOn, Log Shipping, Clustering, Performance Tuning, Query Optimization, RBAC, and TDE . Must have hands-on experience in BFSI compliance , Disaster Recovery strategies , and scripting using PowerShell/Bash . Contributor-level skills in MySQL and cloud databases (Azure SQL, RDS) are essential. Key Skills: SQL Server Admin (HA/DR, performance tuning, security) MySQL, Azure SQL, AWS RDS PowerShell / Bash scripting BFSI compliance & DR planning Hybrid work (3 days onsite – Bangalore/Pune) Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY- Assurance – Sr.Manager - Digital Position Details As part of EY GDS Assurance Digital, you will be responsible for implementing innovative ideas through AI research to develop high growth & impactful products. You will be helping EY’s sector and service line professionals by developing analytics enabled solutions, integrating data science activities with business relevant aspects to gain insight from data. You will work with multi-disciplinary teams across the entire region to support global clients. This is a combination of a technical role and a business development role in AI, responsible for creating innovative solutions by applying AI based techniques for business problems. As our in-house senior AI engineer, your expertise and skills will be vital in our ability to steer one of our Innovation agenda. Responsibilities 10-12 years of experience in Data Science, with about 15 years of total experience Talk to businesses across Assurance teams and understand the problem and develop the solution based on problem, infra and cost limitations Respond to AI related RFPs and business cases Ensure team’s utilization and billability – i.e ensure that the projects are lined up for developers on after the other Convert business problem into analytical problem and devise a solution approach Clean, aggregate, analyze and interpret the data to derive business insights from it. Own the AI/ML implementation process: Model Design, Feature Planning, Testing, Production Setup, Monitoring, and release management. Work closely with the Solution Architects in deployment of the AI POC’s and scaling up to production level applications. Should have solid background in Python and has deployed on open-source models- Work on data extraction techniques from complex PDF/Word Doc/Forms- entities extraction, table extraction, information comparison. Key Requirements/Skills & Qualification: Excellent academic background, including at a minimum a bachelor or a master’s degree in data science, Business Analytics, Statistics, Engineering, Operational Research, or other related field with strong focus on modern data architectures, processes, and environments. Solid background in Python with excellent coding skills. 6+ years of core data science experience in one or more below areas: Machine Learning (Regression, Classification, Decision Trees, Random Forests, Timeseries Forecasting and Clustering) Understanding and usage of Large Language Models like Open AI models like ChatGPT, GPT4, function calling, frameworks like LangChain, Llama Index, agents etc. Retriever augmented generation and prompt engineering. Good understanding of open source LLM framework like Mistral, Llama, etc. and fine tuning on custom datasets. Deep Learning (DNN, RNN, LSTM, Encoder-Decoder Models) Natural Language Processing- Text Summarization, Aspect Mining, Question Answering, Text Classification, NER, Language Translation, NLG, Sentiment Analysis. Computer Vision- Image Classification, Object Detection, Tracking etc. SQL/NoSQL Databases and its manipulation components Working knowledge of API Deployment (Flask/FastAPI/Azure Function Apps) and webapps creation, Docker, Kubernetes. Additional skills requirements: Excellent written, oral, presentation and facilitation skills Ability to coordinate multiple projects and initiatives simultaneously through effective prioritization, organization, flexibility, and self-discipline. Must have demonstrated project management experience. Knowledge of firm’s reporting tools and processes. Proactive, organized, and self-sufficient with ability to priorities and multitask. Analyses complex or unusual problems and can deliver insightful and pragmatic solutions. Ability to quickly and easily create/ gather/ analyze data from a variety of sources. A robust and resilient disposition able to encourage discipline in team behaviors What We Look For A Team of people with commercial acumen, technical experience, and enthusiasm to learn new things in this fast-moving environment. An opportunity to be a part of market-leading, multi-disciplinary team of 7200 + professionals, in the only integrated global assurance business worldwide. Opportunities to work with EY GDS Assurance practices globally with leading businesses across a range of industries What Working At EY Offers At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

Job Description About Oracle APAC ISV Business Oracle APAC ISV team is one of the fastest-growing and high-performing business units in APAC. We are a prime team that operates to serve a broad range of customers across the APAC region. ISVs are at the forefront of today's fastest-growing industries. Much of this growth stems from enterprises shifting toward adopting cloud-native ISV SaaS solutions. This transformation drives ISVs to evolve from traditional software vendors to SaaS service providers. Industry analysts predict exponential growth in the ISV market over the coming years, making it a key growth pillar for every hyperscaler. Our Cloud engineering team works on pitch-to-production scenarios of bringing ISVs’ solutions on the Oracle cloud (#oci) with an aim to provide a cloud platform for running their business which is better performant, more flexible, more secure, compliant to open-source technologies and offers multiple innovation options yet being most cost effective. The team walks along the path with our customers and are being regarded as a trusted techno-business advisors by them. Required Skills/Experience Your versatility and hands-on expertise will be your greatest asset as you deliver on time bound implementation work items and empower our customers to harness the full power of OCI. We also look for: Bachelor's degree in Computer Science, Information Technology, or a related field. Relevant certifications in database management, OCI or other cloud platforms (AWS, Azure, Google Cloud), or NoSQL databases 8+ years of professional work experience Proven experience in migrating databases and data to OCI or other cloud environments (AWS, Azure, Google Cloud, etc.). Expertise on Oracle DB and related technologies like RMAN, DataGuard, Advanced Security Options, MAA Hands on experience with NoSQL databases (MongoDB / Cassandra / DynamoDB, etc.) and other DBs like MySQL/PostgreSQL Demonstrable expertise in Data Management systems, caching systems and search engines such as MongoDB, Redshift, Snowflake, Spanner, Redis, ElasticSearch, as well as Graph databases like Neo4J An understanding of complex data integration, data pipelines and stream analytics using products like Apache Kafka, Oracle GoldenGate, Oracle Stream Analytics, Spark etc. Knowledge of how to deploy data management within a Kubernetes/docker environment as well as the corresponding management of state in microservice applications is a plus Ability to work independently and handle multiple tasks in a fast-paced environment. Solid experience managing multiple implementation projects simultaneously while maintaining high-quality standards. Ability to develop and manage project timelines, resources, and budgets. Career Level - IC4 Responsibilities What You’ll Do As a solution specialist, you will work closely with our cloud architects and key stakeholders of ISVs to propagate awareness and drive implementation of OCI native as well as open-source technologies by ISV customers. Lead and execute end-to-end data platforms migrations (including heterogeneous data platforms) to OCI. Design and implement database solutions within OCI, ensuring scalability, availability, and performance. Set up, configure, and secure production environments for data platforms in OCI Migrate databases from legacy systems or other Clouds to OCI while ensuring minimal downtime and data integrity. Implement and manage CDC solutions to track and capture changes in databases in real-time. Configure and manage CDC tools, ensuring low-latency, fault-tolerant data replication for high-volume environments. Assist with the creation of ETL/data pipelines for the migration of large datasets into data warehouse on OCI Configure and manage complex database deployment topologies, including clustering, replication, and failover configurations. Perform database tuning, monitoring, and optimization to ensure high performance in production environments. Implement automation scripts and tools to streamline database administration and migration processes. Develop and effectively present your proposed solution and execution plan to both internal and external stakeholders. Clearly explain the technical advantages of OCI based database management systems About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Show more Show less

About This Role About Aladdin Financial Engineering (AFE): Join a diverse and collaborative team of over 300 modelers and technologists in Aladdin Financial Engineering (AFE) within BlackRock Solutions, the business responsible for the research and development of Aladdin’s financial models. This group is also accountable for analytics production, enhancing the infrastructure platform and delivering analytics content to portfolio and risk management professionals (both within BlackRock and across the Aladdin client community). The models developed and supported by AFE span a wide array of financial products covering equities, fixed income, commodities, derivatives, and private markets. AFE provides investment insights that range from an analysis of cash flows on a single bond, to the overall financial risk associated with an entire portfolio, balance sheet, or enterprise. Role Description We are looking for a person to join the Advanced Data Analytics team with AFE Single Security. Advanced Data Analytics is a team of Quantitative Data and Product Specialists, focused on delivering Single Security Data Content, Governance and Product Solutions and Research Platform. The team leverages data, cloud, and emerging technologies in building an innovative data platform, with the focus on business and research use cases in the Single Security space. The team uses various statistical/mathematical methodologies to derive insights and generate content to help develop predictive models, clustering, and classification solutions and enable Governance. The team works on Mortgage, Structured & Credit Products. We are looking for a person to work with a specialized focus on Data & Model governance and expand to working on the derived data and analytics content in MBS, Structured Products and Credit space." Experience Experience on Scala Knowledge of ETL, data curation and analytical jobs using distributed computing framework with Spark Knowledge and Experience of working with large enterprise databases like Snowflake, Cassandra & Cloud managed services like Dataproc, Databricks Knowledge of financial instruments like Corporate Bonds, Derivatives etc. Knowledge of regression methodologies Aptitude for design and building tools for Data Governance Python knowledge is a plus Qualifications Bachelors/master's in computer science with a major in Math, Econ, or related field 7+ years of relevant experience Our Benefits To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about. Our hybrid work model BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock. About BlackRock At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress. This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive. For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law. Show more Show less

Job Description The ideal candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The role enables to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Role And Responsibilities Understand business problem and requirements by building domain knowledge and translate to data science problem. Conceptualize and design cutting edge data science solution to solve the data science problem, apply design-thinking concepts. Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need. Prototype and experiment the solution to successfully demonstrate the value. Independently or with support from team, execute the conceptualized solution as per plan by following project management guidelines. Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization. Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development, and practice development initiatives. Technical And Functional Skills Bachelor’s degree in Computer Science with 5+ years of work experience. Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, Python, decision tree, random forest, SAS, clustering classification. Ability to engage clients to understand business requirements and convert the same into technical/modelling problems for solution development. Demonstrate strong interpersonal skills and a comfort interacting with clients from the C-suite to marketing managers to technical specialists. Demonstrated knowledge of analytical/statistical techniques and their applications; a working knowledge of/experience in R and Python is a plus. Demonstrated excellent communications skills, both written and spoken, as well as being able to explain complex technical concepts in plain English. Ability to present results of statistical models in business language. Domain understanding of at least one preferably two verticals amongst Retail, Cable, Technology (not mandate). Knowledge of data visualization tools (Tableau, QlikView, etc.) is a plus. Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports. Ability to manage specific tasks to completion with minimal direction. Ideal candidate has been in a consulting role previously. Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc. Ability to collaborate with onsite colleagues in the US & UK. Expert in handling large data, cleansing & preparation for modelling. Very high attention to detail and quality. About Us At eClerx, we serve some of the largest global companies – 50 of the Fortune 500 clients. Our clients call upon us to solve their most complex problems, and deliver transformative insights. Across roles and levels, you get the opportunity to build expertise, challenge the status quo, think bolder, and help our clients seize value About The Team eClerx is a global leader in productized services, bringing together people, technology and domain expertise to amplify business results. Our mission is to set the benchmark for client service and success in our industry. Our vision is to be the innovation partner of choice for technology, data analytics and process management services. Since our inception in 2000, we've partnered with top companies across various industries, including financial services, telecommunications, retail, and high-tech. Our innovative solutions and domain expertise help businesses optimize operations, improve efficiency, and drive growth. With over 18,000 employees worldwide, eClerx is dedicated to delivering excellence through smart automation and data-driven insights. At eClerx, we believe in nurturing talent and providing hands-on experience. eClerx is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status, or any other legally protected basis, per applicable law. Show more Show less

Job Description As a member of the Support organization, your focus is to deliver post-sales support and solutions to the Oracle customer base while serving as an advocate for customer needs. This involves resolving post-sales non-technical customer inquiries via phone and electronic means, as well as, technical questions regarding the use of and troubleshooting for our Electronic Support Services. A primary point of contact for customers, you are responsible for facilitating customer relationships with Support and providing advice and assistance to internal Oracle employees on diverse customer situations and escalated issues. As a Senior Systems Engineer, you will interface with the customer's IT staff on a regular basis. Either at the client's site or from a remote location, you will be responsible for resolution of moderately complex technical problems related to the installation, recommended maintenance and use and repair/workarounds for Oracle products. You should be highly experienced in some Oracle products and several platforms that are being supported. You will be expected to work with only general guidance from management while advising management on progress/status. Job duties are varied and complex utilizing independent judgment. May have project lead role. Because of substantial customer interfacing, a demonstrated ability to work with customers on an independent basis with exceptional communication skills, while consistently achieving the highest levels of customer satisfaction is essential. A Bachelor's degree in Computer Science, Engineering or equivalent experience is preferred with five years related experience. Experience with Oracle's core products, applications, and tools is important. Career Level - IC3 Responsibilities The Advanced Customer Services (ACS) is a unit within the Oracle’s Customer Service Organization that establishes long-term relationships with many of Oracle's customers through annuity-based service contracts and project based one-time services. ACS services team sells from a broad IT-services portfolio both in fixed price and T&M basis. ACS services are typically requested by large Oracle customers that require the utmost attention to real mission critical applications and processes. ACS covers the majority of large scale Oracle customers. Oracle Advanced Customer Services provides unmatched, tailored support that ensures organization’s Oracle technology investments deliver the cutting-edge innovation and performance your business requires to compete, all while coexisting within your IT environment. ACS is industry-leading expertise with the highest customer satisfaction to support organization’s business every step of the way.  Available to work in 24X7 capability.  Install, configure, and Administer Oracle WebLogic Server  Expert knowledge of Oracle WebLogic Architecture, WebLogic clustering and Domain config.  Good WebLogic troubleshooting skills.  Worked on WebLogic upgrades and patching.  Knowledge on Performance Tuning of WebLogic server components and monitoring aspects of WebLogic.  Good communication and customer management skills.  At least 7 plus years of experience with Oracle WebLogic Administrator/Consultant/Support Engineer  BE/BTech and/or MS in Computer Science or equivalent preferred  Oracle WebLogic / SOA / OCI Certification - Preferred  Candidates having optional skills of Docker, Kubernetes, and Containers is a Plus!  Experience in Oracle Enterprise Manager (OEM) 11g/12c/13c is a plus.  Sharp technical troubleshooting skills.  Good understanding of support processes.  Ability to manage escalated technical situations & develop action plans.  Ability to spot proactive services that benefit of customer.  Ability to facilitate issues with Development and Support.  Strong analytical skills.  Some travel may be required. Detailed Description And Job Requirements  As a member of the Support organization, your focus is to deliver postsales support and solutions to the Oracle customer base while serving as an advocate for customer needs. This involves resolving post-sales nontechnical customer inquiries via phone and electronic means, as well as technical questions regarding the use of and troubleshooting for our Electronic Support Services.  A primary point of contact for customers, you are responsible for facilitating customer relationships with Support and providing advice and assistance to internal Oracle employees on diverse customer situations and escalated issues.  As an Advanced Support Engineer, you will interface with the customer’s IT staff on a regular basis. Either at the client’s site or from a remote location, you will be responsible for resolution of moderately complex technical problems related to the installation, recommended maintenance and use and repair/workarounds for Oracle products.  You should be highly experienced in some Oracle products and several platforms that are being supported.  You will be expected to work with only general guidance from management while advising management on progress/status.  Job duties are varied and complex utilizing independent judgment. May have project lead role.  Because of substantial customer interfacing, a demonstrated ability to work with customers on an independent basis with exceptional communication skills, while consistently achieving the highest levels of customer satisfaction is essential. About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Show more Show less

About the Role We are seeking a highly skilled Senior AI/ML Engineer to join our dynamic team. The ideal candidate will have extensive experience in designing, building, and deploying machine learning models and AI solutions to solve real-world business challenges. You will collaborate with cross-functional teams to create and integrate AI/ML models into end-to-end applications, ensuring models are accessible through APIs or product interfaces for real-time usage. Responsibilities Lead the design, development, and deployment of machine learning models for various use cases such as recommendation systems, computer vision, natural language processing (NLP), and predictive analytics. Work with large datasets to build, train, and optimize models using techniques such as classification, regression, clustering, and neural networks. Fine-tune pre-trained models and develop custom models based on specific business needs. Collaborate with data engineers to build scalable data pipelines and ensure the smooth integration of models into production. Collaborate with frontend/backend engineers to build AI-driven features into products or platforms. Build proof-of-concept or production-grade AI applications and tools with intuitive UIs or workflows. Ensure scalability and performance of deployed AI solutions within the full application stack. Implement model monitoring and maintenance strategies to ensure performance, accuracy, and continuous improvement of deployed models. Design and implement APIs or services that expose machine learning models to frontend or other systems Utilize cloud platforms (AWS, GCP, Azure) to deploy, manage, and scale AI/ML solutions. Stay up-to-date with the latest advancements in AI/ML research, and apply innovative techniques to improve existing systems. Communicate effectively with stakeholders to understand business requirements and translate them into AI/ML-driven solutions. Document processes, methodologies, and results for future reference and reproducibility. Required Skills & Qualifications Experience: 3-5+ years of experience in AI/ML engineering roles, with a proven track record of successfully delivering machine learning projects. AI/ML Expertise: Strong knowledge of machine learning algorithms (supervised, unsupervised, reinforcement learning) and AI techniques, including NLP, computer vision, and recommendation systems. Programming Languages: Proficient in Python and relevant ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras. Data Manipulation: Experience with data manipulation libraries such as Pandas, NumPy, and SQL for managing and processing large datasets. Model Development: Expertise in building, training, deploying, and fine-tuning machine learning models in production environments. Cloud Platforms: Experience with cloud platforms such as AWS, GCP, or Azure for the deployment and scaling of AI/ML models. MLOps: Knowledge of MLOps practices for model versioning, automation, and monitoring. Data Preprocessing: Proficient in data cleaning, feature engineering, and preparing datasets for model training. Strong experience building and deploying end-to-end AI-powered applications— not just models but full system integration. Hands-on experience with Flask, FastAPI, Django, or similar for building REST APIs for model serving. Understanding of system design and software architecture for integrating AI into production environments. Experience with frontend/backend integration (basic React/Next.js knowledge is a plus). Demonstrated projects where AI models were part of deployed user-facing applications. NLP & Computer Vision: Hands-on experience with natural language processing or computer vision projects. Big Data: Familiarity with big data tools and frameworks (e.g., Apache Spark, Hadoop) is an advantage. Problem-Solving Skills: Strong analytical and problem-solving abilities, with a focus on delivering practical AI/ML solutions. Nice to Have Experience with deep learning architectures (CNNs, RNNs, GANs, etc.) and techniques. Knowledge of deployment strategies for AI models using APIs, Docker, or Kubernetes. Experience building full-stack applications powered by AI (e.g., chatbots, recommendation dashboards, AI assistants, etc.). Experience deploying AI/ML models in real-time environments using API gateways, microservices, or orchestration tools like Docker and Kubernetes. Solid understanding of statistics and probability. Experience working in Agile development environments. What You'll Gain Be part of a forward-thinking team working on cutting-edge AI/ML technologies. Collaborate with a diverse, highly skilled team in a fast-paced environment. Opportunity to work on impactful projects with real-world applications. Competitive salary and career growth opportunities Job Type: Full-time Pay: ₹1,000,000.00 - ₹1,200,000.00 per year Schedule: Day shift Morning shift Supplemental Pay: Performance bonus Work Location: In person

As a Senior Manager for data science, data modelling & Analytics, you will lead a team of data scientists and analysts while actively contributing to the development and implementation of advanced analytics solutions. This role requires a blend of strategic leadership and hands-on technical expertise to drive data-driven decision-making across the organization. Job Description: Key Responsibilities Hands-On Technical Contribution Design, develop, and deploy advanced machine learning models and statistical analyses to solve complex business problems. Utilize programming languages such as Python, R, and SQL to manipulate data and build predictive models. Understand end-to-end data pipelines, including data collection, cleaning, transformation, and visualization. Collaborate with IT and data engineering teams to integrate analytics solutions into production environments. Provide thought leadership on solutions and metrics based on the understanding of nature of business requirement. Team Leadership & Development Lead, mentor, and manage a team of data scientists and analysts, fostering a collaborative and innovative environment. Provide guidance on career development, performance evaluations, and skill enhancement. Promote continuous learning and adoption of best practices in data science methodologies. Engage and manage a hierarchical team while fostering a culture of collaboration. Strategic Planning & Execution Collaborate with senior leadership to define the data science strategy aligned with business objectives. Identify and prioritize high-impact analytics projects that drive business value. Ensure the timely delivery of analytics solutions, balancing quality, scope, and resource constraints. Client Engagement & Stakeholder Management Serve as the primary point of contact for clients, understanding their business challenges and translating them into data science solutions. Lead client presentations, workshops, and discussions to communicate complex analytical concepts in an accessible manner. Develop and maintain strong relationships with key client stakeholders, ensuring satisfaction and identifying opportunities for further collaboration. Manage client expectations, timelines, and deliverables, ensuring alignment with business objectives. Develop and deliver regular reports and dashboards to senior management, market stakeholders and clients highlighting key insights and performance metrics. Act as a liaison between technical teams and business units to align analytics initiatives with organizational goals. Cross-Functional Collaboration Work closely with cross capability teams such as Business Intelligence, Market Analytics, Data engineering to integrate analytics solutions into business processes. Translate complex data insights into actionable recommendations for non-technical stakeholders. Facilitate workshops and presentations to promote data driven conversations across the organization. Closely working with support functions to provide timely updates to leadership on operational metrics. Governance & Compliance Ensure adherence to data governance policies, including data privacy regulations (e.g., GDPR, PDPA). Implement best practices for data quality, security, and ethical use of analytics. Stay informed about industry trends and regulatory changes impacting data analytics. Qualifications Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Experience: 12+ years of experience in advanced analytics, data science, data modelling, machine learning, Generative AI or a related field with 5+ years in a leadership capacity. Proven track record of managing and delivering complex analytics projects. Familiarity with the BFSI/Hi Tech/Retail/Healthcare industry and experience with product, transaction, and customer-level data Experience with media data will be advantageous Technical Skills: Proficiency in programming languages like Python, R, or SQL. Experience with data visualization tools (e.g., Tableau, Power BI). Familiarity with big data platforms (e.g., Hadoop, Spark) and cloud services (e.g., AWS, GCP, Azure). Knowledge of machine learning frameworks and libraries. Soft Skills: Strong analytical and problem-solving abilities. Excellent communication and interpersonal skills. Ability to influence and drive change within the organization. Strategic thinker with a focus on delivering business outcomes. Desirable Attributes Proficient in the following advanced analytics techniques ( Should have proficiency in most) Descriptive Analytics: Statistical analysis, data visualization. Predictive Analytics: Regression analysis, time series forecasting, classification techniques, market mix modelling Prescriptive Analytics: Optimization, simulation modelling. Text Analytics: Natural Language Processing (NLP), sentiment analysis. Extensive knowledge of machine learning techniques, including ( Should have proficiency in most ) Supervised Learning: Linear regression, logistic regression, decision trees, support vector machines, random forests, gradient boosting machines among others Unsupervised Learning: K-means clustering, hierarchical clustering, principal component analysis (PCA), anomaly detection among others Reinforcement Learning: Q-learning, deep Q-networks, etc. Experience with Generative AI and large language models (LLMs) for text generation, summarization, and conversational agents ( Good to Have ) Researching, loading and application of the best LLMs (GPT, Gemini, LLAMA, etc.) for various objectives Hyper parameter tuning Prompt Engineering Embedding & Vectorization Fine tuning Proficiency in data visualization tools such as Tableau or Power BI ( Good to Have ) Strong skills in data management, structuring, and harmonization to support analytical needs (Must have) Location: Bengaluru Brand: Merkle Time Type: Full time Contract Type: Permanent Show more Show less

Date: Jun 11, 2025 Job Requisition Id: 61561 Location: Pune, IN YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation. At YASH, we’re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth – bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future. We are looking forward to hire AI/ML Professionals in the following areas : Designation: AI Engineer Experience: 2–4 Years Job Type: Full-time We are seeking a highly skilled and motivated Data Scientist to join our dynamic team. In this role, you will leverage your advanced analytical and technical expertise to solve complex business problems and drive impactful data-driven decisions. You will design, develop, and deploy sophisticated machine learning models, conduct in-depth data analyses, and collaborate with cross-functional teams to deliver actionable insights. Responsibilities: Build and deploy ML models for classification, regression, and clustering tasks. Apply foundational GenAI concepts such as embeddings, summarization, and RAG. Use APIs and tools like LangChain, vector databases (e.g., Pinecone, FAISS). Prepare documentation and results interpretation. Required Skills: Strong hands-on experience in Python, Scikit-learn, Pandas. Knowledge of model evaluation, feature engineering, and model tuning. Exposure to LangChain and vector DBs. Basic exposure to FastAPI or Flask. At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale. Our Hyperlearning workplace is grounded upon four principles Flexible work arrangements, Free spirit, and emotional positivity Agile self-determination, trust, transparency, and open collaboration All Support needed for the realization of business goals, Stable employment with a great atmosphere and ethical corporate culture

Category Data Science Experience Sr. Associate Primary Address Bangalore, Karnataka Overview Voyager (94001), India, Bangalore, Karnataka Senior Associate- Data Science About the Company At Capital One data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. Today, we are a high-tech company, a scientific laboratory, and a nationally recognized brand all in one impacting over 65 million customer accounts. Still founder-led by Chairman and CEO Richard Fairbank, we dare to dream, disrupt, and deliver a better way for our customers, the financial industry and for each other. As a data scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description At DataLabs Capital One India, we are at the cutting edge of solving some of the fundamental business problems using advanced data methodologies, statistics and machine learning algorithms. In the DataLabs Model Risk Management team, we defend the company against model failures and find new ways of making better decisions with models. We use our statistics, software engineering, and business expertise to drive the best outcomes in both Risk Management and the Enterprise. We also understand that we can’t prepare for tomorrow by focusing on today, so we invest in the future: investing in new skills, building better tools, and maintaining a network of trusted partners. We learn from past mistakes and develop increasingly powerful techniques to avoid their repetition. Role Description In this role you will: Partner cross-functionally with data scientists, quantitative analysts, business analysts, software engineers, and project managers to manage the risk and uncertainty inherent in statistical and machine learning models in order to lead Capital One to the best decisions, not just avoid the worst ones. Build and validate statistical and machine learning models through all phases of development, from design through training, evaluation and implementation Develop new ways of identifying weak spots in model predictions earlier and with more confidence than the best available methods Assess, challenge, and at times defend state-of-the-art decision-making systems to internal and regulatory partners Leverage a broad stack of technologies — Python, R, Conda, AWS, and more — to reveal the insights hidden within huge volumes of data Build upon your existing machine learning and statistical toolset - both by learning new technologies and by building custom software tools for data exploration, model performance evaluation, and more Communicate technical subject matter clearly and concisely to individuals from various backgrounds both verbally and through written communication; prepare presentations of complex technical concepts and research results to non-specialist audiences and senior management Flex your interpersonal skills to translate the complexity of your work into tangible business goals, and challenge model developers to advance their modeling, data, and analytic capabilities The ideal candidate is: Inquisitive. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, time series, and deep learning. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Basic Qualifications: Degree in statistics, math, engineering, economics, econometrics, financial engineering, finance, or operations research with a quantitative emphasis preferred Atleast 2 years relevant work experience Experience in Python or R Preferred Skills: Proficiency in key econometric and statistical techniques (such as predictive modeling, logistic regression, panel data models, decision trees, machine learning methods) Atleast 2 years of experience model development or validation Atleast 2 years of experience in R or Python for large scale data analysis Atleast 2 years of experience with relational databases and SQL Strong analytical skills with high attention to detail and accuracy Excellent written and verbal communication skills No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). This carousel contains a column of headings. Selecting a heading will change the main content in the carousel that follows. Use the Previous and Next buttons to cycle through all the options, use Enter to select. This carousel shows one item at a time. Use the preceding navigation carousel to select a specific heading to display the content here. How We Hire We take finding great coworkers pretty seriously. Step 1 Apply It only takes a few minutes to complete our application and assessment. Step 2 Screen and Schedule If your application is a good match you’ll hear from one of our recruiters to set up a screening interview. Step 3 Interview(s) Now’s your chance to learn about the job, show us who you are, share why you would be a great addition to the team and determine if Capital One is the place for you. Step 4 Decision The team will discuss — if it’s a good fit for us and you, we’ll make it official! How to Pick the Perfect Career Opportunity Overwhelmed by a tough career choice? Read these tips from Devon Rollins, Senior Director of Cyber Intelligence, to help you accept the right offer with confidence. Your wellbeing is our priority Our benefits and total compensation package is designed for the whole person. Caring for both you and your family. Healthy Body, Healthy Mind You have options and we have the tools to help you decide which health plans best fit your needs. Save Money, Make Money Secure your present, plan for your future and reduce expenses along the way. Time, Family and Advice Options for your time, opportunities for your family, and advice along the way. It’s time to BeWell. Career Journey Here’s how the team fits together. We’re big on growth and knowing who and how coworkers can best support you.

We are looking for a results-driven Senior SEO Executive with at least 2 years of proven, hands-on experience in driving organic traffic, leads, and conversions through advanced SEO strategies. This role is ideal for someone who lives and breathes SEO, has delivered measurable results, and is confident in managing all facets of search engine optimization—including technical SEO, content optimization, and strategic link-building. Key Responsibilities: 1. On-Page SEO Conduct in-depth keyword research aligned with user intent and business goals. Optimize meta titles, descriptions, header tags, image alt texts, and content structure. Improve internal linking strategy and website architecture for better crawlability and UX. Ensure all content follows current on-page best practices and search guidelines. Regularly audit and update older content for freshness and improved performance. Identify content gaps and create optimization strategies to target new SERP features. Collaborate with design and development teams to ensure SEO-friendly UI/UX. 2. Off-Page SEO Develop and execute white-hat link-building strategies (guest posting, digital PR, HARO, etc.). Conduct backlink audits and disavow toxic links using GSC and third-party tools. Perform detailed competitor backlink analysis to uncover new link opportunities. Build relationships with industry bloggers, influencers, and publications. Monitor off-page metrics like referring domains, authority scores, and link velocity. Develop brand mentions and unlinked citation strategies. 3. Technical SEO Perform full technical audits to identify crawl, indexation, and architecture issues. Optimize site performance for Core Web Vitals, page speed, and mobile usability. Implement structured data (schema) for enhanced SERP visibility (FAQs, How-Tos, etc.). Work with developers to ensure SEO compliance during redesigns and migrations. Manage sitemaps, robots.txt, canonical tags, hreflang tags, and redirect strategies. Regularly test and fix broken links, orphan pages, and crawl errors. Ensure seamless integration between SEO and website analytics tools. 4. Content Strategy & Optimization Collaborate with content, design, and product teams to produce SEO-first content. Create and optimize landing pages, blog posts, and product/service pages for ranking. Use tools like Surfer SEO, Clearscope, or Frase for content scoring and TF-IDF analysis. Perform content gap analysis and topic clustering to build topical authority. Ensure all content aligns with E-E-A-T and Google Search Quality Rater Guidelines. Optimize multimedia content for SEO (images, infographics, videos, PDFs). Monitor SERP changes and update content in line with algorithm shifts. 5. Performance Analysis & Reporting Use Google Analytics 4, Search Console, Ahrefs, SEMrush, or similar tools for performance monitoring. Build actionable reports tracking KPIs: keyword rankings, CTR, bounce rate, conversions, and ROI. Identify areas of decline or stagnation and adjust SEO strategy proactively. Set clear SEO performance benchmarks for campaigns and website sections. Conduct A/B testing for SEO elements like page titles, descriptions, and layouts. Create executive summaries for stakeholders to highlight impact and opportunities. Monitor competitors’ performance and SERP landscape shifts regularly. Requirements: Minimum 0-4 years of proven SEO experience with quantifiable improvements in traffic, leads, or rankings. Strong understanding of search engine algorithms, ranking factors, and evolving SEO trends. Proficient in SEO tools: Google Analytics, Search Console, SEMrush, Ahrefs, Screaming Frog, Surfer SEO, etc. Experience in handling large-scale SEO campaigns, including technical audits, content strategy, and building backlinks, must have at least 3-4 yrs in building backlinks. Good understanding of HTML, CSS, JavaScript, and how site structure affects SEO. Ability to manage and optimize multiple websites and domains under a single brand. Deep analytical mindset with strong command of Excel, Looker Studio, or other reporting tools. Solid grasp of local SEO, international SEO, and e-commerce SEO nuances. Preferred Qualifications: Hands-on experience with CMS platforms like WordPress, Shopify, Wix, Webflow, Java, and React-based sites. Familiarity with Google Tag Manager, event tracking, and schema implementation. Experience in GA4 & GSC is a must Prior experience managing multi-site SEO (e.g., regional or multilingual sites). SEO certifications from platforms like Google, HubSpot, SEMrush, or Moz. Experience working within agile teams or collaborating with product & dev squads. Show more Show less

The Job Excellent programming skills in one or more of (C/C++, Java, Go or similar languages) Scripting Skills (Python, Ruby, or, Bash, etc) Debugging and troubleshooting problems in test and in production Experience with open protocol standards such as Diameter and/or REST interfaces Experience using git/github for version control Knowledge of data modeling, machine learning algorithms, and data science techniques, including the majority of the following topics: clustering, linear regression, classification, decision trees, ensemble methods, boosting, cross validation, model evaluation, feature extraction and selection, hyperparameter tuning is an Asset Knowledge with Linux system configuration, Network Functions Virtualization, and Software Defined Networking is an asset The Skills You Bring Knowledge of web services B.Eng. or M.Eng (or equivalent degree) degree in Engineering or Computer Science What you can expect from us Flexible working hours, hybrid work environment (occasionally may be required to take afterhours call) Career development and advancement opportunities Fast-paced office environment At AppLogic Networks we understand the importance of work-life balance and strives to create a supportive environment that allows employees to excel in their careers without sacrificing their personal lives. AppLogic Networks believes that a positive and fun work environment enhances productivity and job satisfaction. The company organizes team building activities, social events, and other initiatives to promote a sense of camaraderie among employees. AppLogic Networks offers competitive salaries and a comprehensive benefits package, including health insurance, and other perks to ensure the well-being and financial security of its employees. Thank you for your interest in AppLogic Networks. We will contact you if your skills and experience are a match for the role. Otherwise, we’ll keep your resume in case there is a match with future opportunities. AppLogic Networks is committed to supporting a culture of inclusion, diversity and accessibility to employment for all. We are proud to operate as an equal opportunity employer. The AppLogic Networks Global Talent Acquisition Team Behaviors Preferred Team Player: Works well as a member of a group Motivations Preferred Flexibility: Inspired to perform well when granted the ability to set your own schedule and goals

About Highspot Highspot is a software product development company and a recognized global leader in the sales enablement category, leveraging cutting-edge AI and GenAI technologies at the core of its robust Software-as-a-Service (SaaS) platform. Highspot is revolutionizing how millions of individuals work worldwide. Through its AI-powered platform, Highspot drives enterprise transformation to empower sales teams through intelligent content management, training, contextual guidance, customer engagement, meeting intelligence, and actionable analytics. The Highspot platform delivers advanced features tailored to business needs, in a modern design that sales and marketing executives appreciate and is the #1 rated sales enablement platform on G2 Crowd. While headquartered in Seattle, Highspot has expanded its footprint across America, Canada, the UK, Germany, Australia, and now India, solidifying its presence in the Asia Pacific markets. About The Role We are looking for a skilled and passionate Data Analyst with experience working within the entire analytics lifecycle. As a Data Analyst, you will be responsible for analyzing large and complex data sets to identify patterns, create new metrics, develop predictive models, build dashboards, and generate insights that drive business decisions. You will lead high-visibility high-impact projects and work closely with a skilled and diverse group of domain experts, company leaders, software engineers, data analysts, data engineers, and beyond. Responsibilities Analyze core business topics using Highspot’s product and business data (such as user behavior on the Highspot platform, customer health, and the operations of our internal teams) to gain insights that will drive product development and enhance platform effectiveness. Partner with cross-functional teams and identify opportunities where statistics, machine learning, and operations research techniques can be used to make a significant impact and then design, develop, deploy and monitor those solutions. Partner with our Data Engineering team to conceptualize data pipelines that can extract data and insights for daily business management in an automated manner. Define top-level business, team, and product metrics and build automated reports in close coordination with cross-functional stakeholders. Cultivate a nuanced understanding of Highspot's data and lead research to uncover new opportunities for analytics within Highspot’s product and business. Required Qualifications Advanced degree (MS, BS) in Data Science, Computer Science, Artificial Intelligence, Statistics, or related quantitative fields. 4+ years of experience using SQL to extract and transform complex structured and semi-structured data from a data warehouse (Snowflake, Postgres, Mongo etc). 2+ years of experience using Tableau to build impactful reports and dashboards. 4+ years of experience in Python and related analytics libraries to wrangle, visualize, analyze, and build statistical/Machine Learning models. 4+ years of experience in designing, developing and deploying predictive models to address real-world business problems; relevant techniques include regression, classification, clustering, dimensionality reduction, ensemble methods, recommender systems, and linear/integer programs. 2+ years of experience using git to version control code and collaborate with other Data Analysts and Engineers on projects. 2+ years of experience working with AWS cloud technology. Demonstrable track record of dealing well with ambiguity, prioritizing needs, and solving impactful business problems. Excellent written and verbal communication skills to explain complex research to technical and non-technical audiences and to publish insights from your work. Driven by empathy to support, learn, and contribute to a team’s success. Prior experience working remotely with a team based in the U.S. is preferred. Equal Opportunity Statement We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of age, ancestry, citizenship, color, ethnicity, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or invisible disability status, political affiliation, veteran status, race, religion, or sexual orientation. Did you read the requirements as a checklist and not tick every box? Don't rule yourself out! If this role resonates with you, hit the ‘apply’ button. Show more Show less