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Req ID: 330307 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Business Consulting- Power BI Consultant to join our team in Gurgaon, Uttar Pradesh (IN-UP), India (IN). Core Responsibilities: Developing and Maintaining Data Models: Power BI developers create and maintain data models that effectively represent business requirements. This includes understanding data sources, designing relationships between tables, and ensuring data accuracy and integrity. Creating Reports and Dashboards: They design and build interactive dashboards and reports using Power BI to visualize key business metrics and trends. This involves choosing appropriate charts, formats, and layouts to effectively communicate data insights. Data Analysis and Visualization: Power BI developers analyze data to identify trends, patterns, and insights, and then visualize them in a way that is understandable and actionable for stakeholders. Collaborating with Stakeholders: They work closely with business users to understand their needs and requirements, ensuring that the reports and dashboards meet their specific needs. Ensuring Data Governance and Compliance: Power BI developers play a role in ensuring that data is accurate, secure, and compliant with relevant regulations and policies. Troubleshooting and Optimization: They troubleshoot and resolve issues related to Power BI solutions, including data integration, performance tuning, and report accessibility. Staying Updated with Industry Trends: They keep abreast of the latest Power BI features, best practices, and industry trends to continuously improve reporting capabilities. Additional Responsibilities: Data Integration: Integrating data from various sources, such as SQL databases, Excel, and cloud-based systems, into Power BI. Data Transformation: Transforming data to make it suitable for analysis and visualization in Power BI. Technical Documentation: Creating technical documentation to support the use and maintenance of Power BI solutions. DAX Calculations: Using DAX (Data Analysis Expressions) to create calculated columns and measures for data analysis and reporting. SQL Querying: Using SQL to query and retrieve data from databases. Custom Visual Development: Developing custom visuals in Power BI to meet specific reporting needs. Skills Required: Proficiency with Power BI tools: Strong understanding of Power BI Desktop, Power BI Service, and other related tools. Strong Analytical Skills: Ability to analyze data, identify trends, and derive insights. Expertise in DAX and SQL: Knowledge of DAX for calculations and SQL for database querying. Excellent Communication Skills: Ability to communicate effectively with stakeholders and users. About NTT DATA NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here . If you'd like more information on your EEO rights under the law, please click here . For Pay Transparency information, please click here .

Hi all, We have an immediate opening for "Frontend Full stack Developer" at Hyderabad location. Experience: 2–3 years Location: Hyderabad Work Mode: WFO NP: Immediate joiners Required Skills and Qualifications: 2–3 years of hands-on experience as a frontend or full stack developer. Deep expertise in React.js, JavaScript (ES6+), HTML5, and CSS3. Proficiency with Material UI (MUI) and component-driven UI development. Experience working with Micro-Frontend architecture (e.g., Module Federation, Single-SPA). Good understanding of backend development using Node.js/Express.js. Familiarity with MySQL or PostgreSQL for querying and data interaction. Cloud deployment experience with AWS or Azure services. Strong foundation in version control (Git) and CI/CD tools (e.g., GitHub, GitLab). Awareness of security best practices and frontend performance optimization techniques. Education: Bachelor’s degree in Computer Science, IT, Engineering, or a related technical field. If you're interested please share updated resume to recruitment.india@maxisit.com

About US At Particleblack, we drive innovation through intelligent experimentation with Artificial Intelligence. Our multidisciplinary team—comprising solution architects, data scientists, engineers, product managers, and designers—collaborates with domain experts to deliver cutting-edge R&D solutions tailored to your business. Responsibilities Analyze raw data: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms Collaborate with engineering team to bring analytical prototypes to production Generate actionable insights for business improvements "Statistical Modeling: Develop and implement core statistical models, including linear and logistic regression, decision trees, and various classification algorithms. Analyze and interpret model outputs to inform business decisions. Advanced NLP: Work on complex NLP tasks, including data cleansing, text preprocessing, and feature engineering. Develop models for text classification, sentiment analysis, and entity recognition. LLM Integration: Design and optimize pipelines for integrating Large Language Models (LLMs) into applications, with a focus on Retrieval-Augmented Generation (RAG) systems. Work on fine-tuning LLMs to enhance their performance on domain-specific tasks. ETL Processes: Design ETL (Extract, Transform, Load) processes to ensure that data is accurately extracted from various sources, transformed into usable formats, and loaded into data warehouses or databases for analysis. BI Reporting and SQL: Collaborate with BI teams to ensure that data pipelines support efficient reporting. Write complex SQL queries to extract, analyze, and visualize data for business intelligence reports. Ensure that data models are optimized for reporting and analytics. Data Storage and Management: Collaborate with data engineers to design and implement efficient storage solutions for structured datasets and semi structured text datasets. Ensure that data is accessible, well-organized, and optimized for retrieval. Model Evaluation and Optimization: Regularly evaluate models using appropriate metrics and improve them through hyperparameter tuning, feature selection, and other optimization techniques. Deploy models in production environments and monitor their performance. Collaboration: Work closely with cross-functional teams, including software engineers, data engineers, and product managers, to integrate models into applications and ensure they meet business requirements. Innovation: Stay updated with the latest advancements in machine learning, NLP, and data engineering. Experiment with new algorithms, tools, and frameworks to continuously enhance the capabilities of our models and data processes." Qualifications Overall Experience: 5+ years of overall experience working in a modern software engineering environment with exposure to best practices in code management, devops and cloud data/ML engineering. Proven track record of developing and deploying machine learning models in production. ML Experience: 3+ years of experience in machine learning engineering, data science with a focus on fundamental statistical modeling. Experience in feature engineering, basic model tuning and understanding model drift over time. Strong foundations in statistics for applied ML. Data Experience: 1+ year(s) in building data engineering ETL processes, and BI reporting. NLP Experience: 1+ year(s) of experience working on NLP use cases, including large scale text data processing, storage and fundamental NLP models for text classification, topic modeling and/or more recently, LLM models and their applications Core Technical Skills: Proficiency in Python and relevant ML and/or NLP specific libraries. Strong SQL skills for data querying, analysis, and BI reporting. Experience with ETL tools and data pipeline management. BI Reporting: Experience in designing and optimizing data models for BI reporting, using tools like Tableau, Power BI, or similar. Education: Bachelor’s or Master’s degree in Computer Science / Data Science,

Job description: ESG Specialist team are set of skilled and domain knowledge individuals who build and maintain the content currently covered on existing databases and test future database, tools and systems. The Specialist team drives automation and simplification to bring in efficient processes and quality of updates within ESG Operations. The successful applicant will be working in an agile environment and will work on projects to deliver automation and process simplifications solutions. Roles, Responsibilities & Key Accountabilities: Develop and deploy machine learning and deep learning models to solve complex problems. Conduct statistical analysis to identify trends, patterns, and insights. Application of data science skills to develop intelligent systematic checks on textual and Boolean data to identify incorrect and missing data Manage data extraction, reporting, data analysis. Use SQL to query and manage large datasets. Implement web scraping techniques to gather relevant data from various sources. Work with large language models (LLMs) for natural language processing tasks. Required Skills: Proficiency in ML, deep learning, and statistical analysis techniques. Strong Python & SQL skills for data querying and manipulation. Proficiency in Microsoft Power Platform. Experience with web scraping tools and frameworks. Working knowledge of NLP and LLM concepts, familiarity with BERT, GPT, etc. Strong problem-solving and analytical skills. Reporting using Python visualization packages (e.g., Matplotlib, Seaborn) and Microsoft Power BI. Desired Skills: Knowledge of LSEG proprietary systems for automations including LEAD & DEMING. Understanding of ESG content and marketplace. Understanding of 6 sigma principles. Education: Data Science Certification or Software Engineer or study in computer science subject area or Any subject area of study along with expertise in programming languages like Python, VBA, SQL etc. People are at the heart of what we do and drive the success of our business. Our colleagues thrive personally and expertly through our shared values of Integrity, Partnership, Change and Excellence, which are at the core of our culture. We embrace diversity and actively seek to attract people with unique backgrounds and perspectives. We are always looking at ways to become more agile, so we meet the needs of our teams and customers. We believe that an inclusive collaborative workplace is pivotal to our success and supports the potential and growth of all colleagues at LSEG. 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.

Job Title: GCP Data Engineer Experience: 5 to 7+ Years Location: Remote Shift Timing: 3:00 PM – 12:00 AM IST Job Summary: We are looking for a highly skilled and motivated GCP Data Engineer with a minimum of 5 to 7+ years of experience in Data Engineering , including at least 3 years of hands-on expertise with Google Cloud Platform (GCP) . The ideal candidate will be responsible for designing and implementing robust, scalable, and secure data pipelines and architectures to support data analytics and business intelligence initiatives. This is a remote role with a dedicated shift timing of 3 PM – 12 AM IST. Key Responsibilities: Design, develop, and optimize data pipelines using GCP services, especially BigQuery, Cloud Storage, and Dataflow. Develop and maintain ETL/ELT processes using Python and SQL. Implement data models and schemas in BigQuery for efficient querying and storage. Collaborate with data scientists, analysts, and stakeholders to define data requirements and deliver robust data solutions. Monitor and troubleshoot data pipeline performance, quality, and reliability issues. Ensure best practices in data security, governance, and compliance on GCP. Automate data workflows and contribute to CI/CD pipeline integration for data solutions. Required Skills & Qualifications: Minimum 6+ years of experience in Data Engineering. Strong hands-on experience with Google Cloud Platform (GCP) services. Proficiency in BigQuery, Cloud Storage, Dataflow, Pub/Sub, Cloud Functions . Expertise in Python , Advanced SQL , and shell scripting. Familiarity with Cloud Composer (Airflow) for workflow orchestration. Solid understanding of data warehousing concepts , dimensional modeling , and schema design . Experience with version control tools like Git and CI/CD tools. Knowledge of data security best practices , IAM roles , and encryption methods on GCP. Strong problem-solving and debugging skills. Good communication and team collaboration abilities.

About the Organization : IndusInd Bank is a universal Bank with a widespread banking footprint with over 2.5 crore customers, over 5,000 distribution points and nearly 2,000 branches across the country. Bank is currently in its fifth planning cycle and is on a mission to attain scale with sustainability at its core and with a specific focus on leapfrogging digital banking capabilities. Accordingly, the digital team at IndusInd Bank is on a journey to create differentiated transformative customer experience in financial services. The team’s charter to redefine banking experience for clients making is much simpler, intelligent, and personalized. The data science team(digital portfolio, platform growth & engagement) will be part of the digital team at IndusInd Bank and will help uncover insights that help drive the digital strategy and optimize customer experience. About the role : You would be part of asset analytics and data science team and work on cutting edge problems for the bank. The individual will work closely with the stakeholders across risk, business, partnerships, digital and strategy in creating and refining strategies to augment profitability and growth for the bank. The incumbent will majorly be responsible with coming up data driven and actionable insights and presenting them to relevant stakeholders The candidate will work in close collaboration with digital product, growth, and marketing teams. Overall, Job Description Experience querying databases and using statistical computer languages: R, Python, SLQ, etc. Use predictive modelling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes. Experienced in working with large and multiple datasets, data warehouses and ability to pull data using relevant programs and coding. Well versed with necessary data reprocessing and feature engineering skills. Strong background in Statistical Analysis. Constantly look and research on ML algorithms and data sources for better prediction Work and coordinate with multiple stakeholders to identify opportunities for leveraging company data to drive business solutions, implement models and monitor outcomes. Assess the effectiveness and accuracy of new data sources and data gathering techniques and develop processes and tools to monitor and analyze model performance and data accuracy. Experience in establishing/scaling up data science functions Proven ability to discover solutions hidden in large datasets and to drive business results with their data-based insights Leverage analytics to increase customer lifetime value for clients acquired digitally by pitching right product to the right client at the right time Help define pricing models for digital value propositions for various segments of users / clients to ensure profitability of the portfolio and to ensure achievement of business outcomes Work with product, growth, and marketing teams across product/campaign lifecycle Empower product and marketing teams by creating automated dashboards and reports using PowerBI Skills/Capabilities Model development experience in R, Python, SAS Strong and in-depth understanding of statistics Strong strategic thought leadership and problem-solving skills with ability to tackle unstructured and complex business problems Ability to build & use relationships and influence broadly across the organization Results driven with strong project management skills, ability to work on multiple priorities Handling Big Data, Segmentation, Analytics, Machine Learning, Artificial Intelligence, Statistics and Hypothesis Testing

MakeMyTrip-GoIbibo data science group is looking for a seasoned data science professional, who can build next-gen travel fintech systems powered via personalized product recommendations/persuasions, real-time pricing and causal algorithms. Responsibilities: Train and deploy best in class deep learning models for ranking, pricing, recommendation, representation learning, FinTech products. Work with stakeholders at various stages of project, lead project development from inception to completion. Be a SQL python ninja, understand data thoroughly, build smart AI/ML systems. Opportunity to work with large click stream e-commerce data sets, at MakeMyTrip and GoIbibo, i. e., in rapidly growing travel space. Build and own robust data science APIs meeting 99% SLA at very high RPS. Also ensure training/inference MLOps rigour. Show business impact while having opportunity to build best in class AI/ML models. Requirements: Bachelor's degree in mathematics, Statistics, related technical field, or equivalent practical experience. A minimum of 8 years of experience (or minimum of 5 years with a Ph. D.) in one or more of the following: ML Modeling, Ranking, Recommendations, or Personalization systems. Knowledge of advanced ML techniques such as Classification, Prediction, Recommender Systems, Dynamic Pricing, Choice modelling, Anomaly Detection Experience with statistical data analysis such as linear models, multivariate analysis, stochastic models, and sampling methods. Experience of deploying models into production is preferred Experience with applying machine learning techniques to big data systems (e. g., Spark) with TB to PB scale datasets. Experience with data querying languages (e. g., SQL), scripting languages (e. g., Python), and/or statistical/mathematical software. Strong research record demonstrated through publications. Experience with design and analysis of experiments. Experience with large-scale A/B testing systems, especially in the domain of online advertising or online commerce.

Senior Software Engineer – Full Stack Bangalore, Karnataka, India Date posted Jul 16, 2025 Job number 1845522 Work site Up to 50% work from home Travel 0-25 % Role type Individual Contributor Profession Software Engineering Discipline Software Engineering Employment type Full-Time Overview Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers to levels they cannot achieve anywhere else. This is a world of more possibilities, more innovation, more openness in a cloud-enabled world. The Business & Industry Copilots group is a rapidly growing organization that is responsible for the Microsoft Dynamics 365 suite of products, Power Apps, Power Automate, Dataverse, AI Builder, Microsoft Industry Solution and more. Microsoft is considered one of the leaders in Software as a Service in the world of business applications and this organization is at the heart of how business applications are designed and delivered. We are looking for a Senior Software Engineer – Full Stack Developer to join our team! Microsoft Dynamics 365 is a suite of easy-to-learn and easy-to-use business solutions tailored to any market, designed for any business size, and dedicated to growing business through happy customers. The Customer Service Applications Team delivers business applications for Connected Customer Care for Contact Centers! Our team is at the forefront of digital transformation, empowering organizations to revolutionize their customer service and contact center operations through cutting-edge AI solutions and product offerings, represents a new era of applications that harness the power of data, AI, and productivity tools to deliver unparalleled experiences across all channels. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Qualifications Expert knowledge on building responsive and engaging front end and scalable backend 8+ years professional software development with at least one of the following C#/C++/Java 8+ years of professional experience building cloud applications focused on front end development using technologies like React/JavaScript/TypeScript/CSS/HTML Experience with design and implementation of enterprise-scale services Experienced in architecting, building, and maintaining UX component libraries that adhere to modern web standards. Experience delivering Dynamics 365 and/or Power Platform solutions desirable Experience in AI Agentic development and leveraging AI Development tools is a definite plus Excellent verbal, written, and cross-team collaboration skills are essential to succeed in this role. A strong team player and collaborator, across time zones and diverse stakeholder groups. Passion for improving software quality and engineering excellence. Experience in developing, debugging, and supporting code in object-oriented languages and database querying languages. Experience with building infrastructure using Microsoft Azure technology like Service Fabric, App Service, Docker. Other Requirements Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. #BICJobs #CCAROCKS #DYNAMICS365 #WEAREHIRING #WEWANTTOTALKTOYOU! #CUSTOMERCAREAPPLICATIONS Responsibilities As a senior engineer, you will be responsible for implementing features, with end to end responsibility, towards a wide variety of business applications and services within Dynamics 365 products portfolio as well as ensuring they are done to meet rigorous quality standards with the result being software that is used by individuals and businesses throughout the world. In short you will do the following: Envision, Design, implement, test, deploy, maintain, and improve our software components and services Embrace and use state-of-the-art new technologies Participate in technical discussions and bring new ideas on the table Own quality of your code and fully leverage AI development tools to accelerate development Work with Product Managers, Architects and UX Designers to design and specify new features from the engineering standpoint Develop software that empowers customers to optimize their business processes Work with key customers to enable faster adoption and meet their business goals Contribute to the positive, solution focused and creative team spirit Support less experienced team members in their progress and development Throughout your tasks, you will work closely with Program Managers and other Software Engineers to optimize design, quality and functionality as Microsoft places a premium on the ability to work well in a team environment. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  Industry leading healthcare  Educational resources  Discounts on products and services  Savings and investments  Maternity and paternity leave  Generous time away  Giving programs  Opportunities to network and connect Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Location Gurugram, Haryana, India This job is associated with 2 categories Job Id GGN00002106 Information Technology Job Type Full-Time Posted Date 07/16/2025 Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network. Come join us to create what’s next. Let’s define tomorrow, together. Description United's Digital Technology team is comprised of many talented individuals all working together with cutting-edge technology to build the best airline in the history of aviation. Our team designs, develops and maintains massively scaling technology solutions brought to life with innovative architectures, data analytics, and digital solutions. Job overview and responsibilities United Airlines’ Enterprise Data Analytics department partners with business and technology leaders across the company to transform data analytics into a competitive advantage. An offshore team based in Delhi, India will work closely with this group and support it with complementing skills and capabilities. The key objectives are to improve operating performance, boost customer experience and drive incremental revenue by embedding data in decision making across all levels of the organization. An entry level data analyst will be responsible for data, analytics and modeling to dig deep into details as well as to assess the big picture. Execute solutions to business problems using data analysis, data mining, optimization tools, statistical modeling and machine learning techniques Continuously develop and improved analysis methodologies Analyze and model data and working from concept through to execution Understand a business problem and the available data and identify what analytics and modeling techniques can be applied to answer a business question This position is offered on local terms and conditions. Expatriate assignments and sponsorship for employment visas, even on a time-limited visa status, will not be awarded. This position is for United Airlines Business Services Pvt. Ltd - a wholly owned subsidiary of United Airlines Inc. Qualifications What’s needed to succeed (Minimum Qualifications): Bachelor's degree Quantitative field like Math, Statistics, Operations Research At least 2+ years of experience in modeling/ machine learning required Proven comfort and an intellectual curiosity for working with very large sets of data, and hands-on knowledge in predictive modeling Strong knowledge of either R or Python Be experienced in manipulating and analyzing complex, high-volume, high dimensionality data from various sources to highlight patterns and relationships Understanding of how and when to apply predictive and machine learning techniques like logistic regression, random forest, GBM, Neural Nets, SVM etc. is required Be proficient in using database querying tools and able to write complex queries and procedures using Teradata SQL and/or Microsoft TSQL Hands on experience in using Big Data ecosystems (Hadoop/Spark), API Gateways and non-structured data will be a plus Being able to communicate complex quantitative analysis and algorithms in a clear, precise and actionable manner Must be legally authorized to work in India for any employer without sponsorship Must be fluent in English (written and spoken) Successful completion of interview required to meet job qualification Reliable, punctual attendance is an essential function of the position What will help you propel from the pack (Preferred Qualifications): Master's degree

Job Description As a Technical Solution Analyst, your role involves conducting investigations on front-end applications. This includes capturing information, applying fix tools, shadowing end users, and testing workflows internally and externally. Backend techniques to be used, including gathering log files, querying tables, updating database fields, and cycling servers. Effective verbal and written communication with clients and internal collaborators. Documentation of notes, activities, resolutions, and knowledge articles throughout the investigation lifecycle. By prioritizing work based on severity. You'll strike a balance between client and business needs. Collaborating among and across teams ensures that issues are addressed by the appropriate individuals. We require the candidate be efficient in SQL. Career Level - IC1 Responsibilities Basic Qualifications: A minimum of four years of related work experience and a bachelor's degree, including: An academic qualification in computer engineering, computer science, information systems, software engineering, or a related field. Preferred Qualifications: 0 to 2 years of experience in application support, client/customer support, incident management, problem management, and change management. Knowledge of SQL. Readiness to work during the shift from 5:30 PM to 2:30 AM IST. Outstanding interpersonal abilities and adept at efficient communication with collaborators across various regions of the globe. Prospective employees need to be ready to work different shifts and provide on-call support. Qualifications Career Level - IC1 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.

At Optimum Info, we are continually innovating and developing a range of software solutions empowering the Network Development and Field Operations professions in the Automotive, Power Sports and Equipment industries. Our integrated suite of comprehensive solutions provides a seamless and rich experience to our customers, helping them become more effective at their work and create an impact on the organization. Our sharp cultural focus on outstanding customer service and employee empowerment is core to our growth and success. As a growing company, we offer incredible opportunities for learning and growth with opportunity to manage high-impact business solution. Position Overview The Engineer Applications Support is a specialist role that requires deep understanding of the supported applications, an ability to analyze issues and identify resolutions and to communicate clearly. The primary focus for this position is assisting users through resolving their queries or issues, raised using the organizations ticketing platform or other supported channels. For issues that require deeper technical knowledge or access to code, this role will initially escalate the tickets to higher levels of support but is expected to acquire technical skills and be able to support at all levels in due course. When issues are resolved, this role will participate in validating the resolution in pre-production and production environments. Key Responsibilities Receive issues and requests through the organizations ticketing system. (Log tickets when issues are reported through alternate supported channels). Timely Incident acknowledgement and response. Carry out classification of support tickets and prioritize for resolution. Providing functional clarification and responses to the end users queries. Issue analysis and timely closure of tickets, within defined turnaround times. Issue investigation and resolution (or workarounds) through querying the databases. Forward identified bug reports to next level of support and provide functional workarounds to the users. Ticket / case escalation to the next level of support, as necessary. Assist the next level of support in issue resolution by coordinating with end users. Document the resolutions provided, to build a knowledge base over a period of time. Desired Qualifications And Experience Ability to quickly learn the features and functionality of applications. Ability to query databases and use tools to guide users in resolving issues. 1-2 years overall experience in a professional services organization, with primary focus on using and working with IT systems. Experience in a customer facing IT support role. Excellent written, presentation, and oral communication skills. Experience with .NET framework using C# language, jQuery, Bootstrap and SQL Server OR web application testing. Exposure to any public cloud environment, preferably Azure. Education Bachelor's degree in engineering or computer science or a related field Other Attributes Knowledge of automotive sales and business processes desirable Strong customer service orientation Analytical, troubleshooting, and problem-solving skills Focus on maintaining detailed documentation Experience working in a team-oriented, collaborative environment Must be proficient in MS Office tools like Word, Excel, and PowerPoint Able to work in assigned shifts, with structured handovers at start and end of shift (ref:hirist.tech)

We are seeking an Full Stack Developer (Associate Consultant) to join our India team based in Gurgaon. This role at Viscadia offers a unique opportunity to gain hands-on experience in the healthcare industry, with comprehensive training in core consulting skills such as critical thinking, market analysis, and executive communication. Through project work and direct mentorship, you will develop a deep understanding of healthcare business dynamics and build a strong foundation for a successful consulting career. ROLES AND RESPONSIBILITIES Technical Responsibilities Design and build full-stack forecasting and simulation platforms using modern web technologies (e.g., React, Node.js, Python) hosted on AWS infrastructure (e.g., Lambda, EC2, S3, RDS, API Gateway). Automate data pipelines and model workflows using Python for data preprocessing, time-series modeling (e.g., ARIMA, Exponential Smoothing), and backend services. Replace legacy Excel/VBA tools with scalable, cloud-native applications, integrating dynamic reporting features and user controls via web UI. Use SQL and cloud databases (e.g., AWS RDS, Redshift) to query and transform large datasets as inputs to models and dashboards. Develop interactive web dashboards using frameworks like React + D3.js or embed tools like Power BI/Tableau into web portals to communicate insights effectively. Implement secure, modular APIs and microservices to support modularity, scalability, and seamless data exchange across platforms. Ensure cost-effective and reliable deployment of solutions via AWS services, CI/CD pipelines, and infrastructure-as-code (e.g., CloudFormation, Terraform). Business Responsibilities Support the development and enhancement of forecasting and analytics platforms tailored to the needs of pharmaceutical clients across various therapeutic areas Build in depth understanding of pharma forecasting concepts, disease areas, treatment landscapes, and market dynamics to contextualize forecasting models and inform platform features Partner with cross-functional teams to ensure forecast deliverables align with client objectives, timelines, and decision-making needs Contribute to a culture of knowledge sharing and continuous improvement by mentoring junior team members and helping codify best practices in forecasting and business analytics Grow into a client-facing role, combining an understanding of commercial strategy with forecasting expertise to lead engagements and drive value for clients QUALIFICATIONS Bachelor’s degree (B.Tech/B.E.) from a premier engineering institute, preferably in Computer Science, Information Technology, Electrical Engineering, or related disciplines 2+ years of experience in full-stack development, with a strong focus on designing, developing, and maintaining AWS-based applications and services SKILLS AND TECHNICAL PROFICIENCIES Technical Skills Proficient in Python, with practical experience using libraries such as pandas, NumPy, matplotlib/seaborn, and statsmodels for data analysis and statistical modeling Strong command of SQL for data querying, transformation, and seamless integration with backend systems Hands-on experience in designing and maintaining ETL/ELT data pipelines, ensuring efficient and scalable data workflows Solid understanding and applied experience with cloud platforms, particularly AWS; working familiarity with Azure and Google Cloud Platform (GCP) Full-stack web development expertise, including building and deploying modern web applications, web hosting, and API integration Proficient in Microsoft Excel and PowerPoint, with advanced skills in data visualization and delivering professional presentations Soft Skills Excellent verbal and written communication skills, with the ability to effectively engage both technical and non-technical stakeholders Strong analytical thinking and problem-solving abilities, with a structured and solution-oriented mindset Demonstrated ability to work independently as well as collaboratively within cross-functional teams Adaptable and proactive, with a willingness to thrive in a dynamic, fast-growing environment Genuine passion for consulting, with a focus on delivering tangible business value for clients Domain Expertise Strong understanding of pharmaceutical commercial models, including treatment journeys, market dynamics, and key therapeutic areas Experience working with and interpreting industry-standard datasets such as IQVIA, Symphony Health, or similar secondary data sources Familiarity with product lifecycle management, market access considerations, and sales performance tracking metrics used across the pharmaceutical value chain

hackajob is collaborating with J.P. Morgan to connect them with exceptional tech professionals for this role. We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorgan Chase within Asset and Wealth Management, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. Job responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Work closely with the product team to understand the business requirements and user acceptance testing teams to support during UAT phase. Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contributes to software engineering communities of practice and events that explore new and emerging technologies Adds to team culture of diversity, opportunity, inclusion, and respect Has a defined goal based approach and adhere to committed timelines. Required Qualifications, Capabilities, And Skills Formal training or certification on software engineering concepts and 3+ years applied experience Skilled in object oriented analysis and design (OOAD), data structures, algorithms, design patterns. Hands-on practical experience in system design, application development, testing, and operational stability Proficient in a front end technology either React/ReactJS, Redux, Angular/AngularJS, ExtJS, JQuery, NodeJS, or other Web frameworks and coding in Java 17, Spring Boot, and SQL Databases, Advanced in two or more technologies - Functional Programming, BPMN, Microservices, RESTful web services development, JMS, Kafka, Hibernate Experience with JDBC/JPBA frameworks such as Hibernate or MyBatis. Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Experience developing with testing frameworks such as JUnit, Mockito, Karma, Protractor, Jasmine, Mocha, Selenium, and Cucumber. Cloud - Strong Hands-on Cloud Native architecture Azure / AWS, Containerization / Kubernetes Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Preferred Qualifications, Capabilities, And Skills Familiarity with modern front-end technologies Exposure to cloud technologies Independent and self-motivated Strong interpersonal and communication skills

hackajob is collaborating with J.P. Morgan to connect them with exceptional tech professionals for this role. We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a PeopleSoft Developer Software Engineer III at JPMorgan Chase within the Commercial & Investment Bank Payments Technology team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. Job responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contributes to software engineering communities of practice and events that explore new and emerging technologies Adds to team culture of diversity, opportunity, inclusion, and respect Required Qualifications, Capabilities, And Skills Formal training or certification on software engineering concepts and 2+ years applied experience Hands-on practical experience in system design, application development, testing, and operational stability Hands on experience as a PeopleSoft Developer or Technical Resource, with PeopleSoft applications, including implementation, customization, and support. Proficiency in PeopleSoft tools and technologies, including PeopleTools, PeopleCode, Application Engine (AE), Integration Broker (IB), Web Services, SQL. Strong understanding of PeopleSoft architecture. Proficiency in SQL and database management systems. Proficient in coding in one or more languages Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Preferred Qualifications, Capabilities, And Skills Experience with PeopleSoft version upgrades and migrations. Knowledge of PeopleSoft security and data management practices. Project management experience or certification. Experience with Python for scripting and automation tasks. Familiarity with Agile development methodologies.

Role Summary We are looking for a highly motivated and skilled Data Analyst with strong expertise in Python, SQL, and applied Data Science. The candidate should have experience working on machine learning models, forecasting techniques, and data-driven prediction projects. This is a hands-on role involving both development and collaboration with business stakeholders to deliver analytical solutions. Key Responsibilities Analyze large datasets using SQL and Python to derive actionable insights. Develop and deploy machine learning models for forecasting and predictive analytics. Work on structured and unstructured data to identify patterns and trends. Collaborate with business stakeholders to understand requirements and translate them into analytical solutions. Create dashboards, reports, and visualizations to communicate findings. Ensure data accuracy, consistency, and integrity throughout the analysis process. Leverage cloud platforms such as Azure (preferred) for data handling and model deployment. Required Skills Strong proficiency in Python for data manipulation and model development. Advanced SQL skills for querying complex data structures. Solid understanding of machine learning algorithms, time series forecasting, and predictive modeling. Good problem-solving ability and a strong analytical mindset. Good To Have Exposure to Azure cloud services such as Azure Data Factory, Azure ML, or Azure Blob Storage. Familiarity with Power BI, Tableau, or similar BI tools.

Job Description: Analyst – Marketing & Customer Analytics (Offshore Team) Job Overview We are looking for a data-savvy and insight-driven Analyst to join our Retail Marketing & Customer Analytics offshore team. This role supports a variety of high-impact analytics needs—from channel efficiency analysis and incrementality measurement to building scalable dashboards and supporting ad hoc marketing and custom er deep dives. Ideal for candidates with 3–4 years of experience, this role requires strong SQL and visualization skills, a sharp analytical mindset, and a passion for improving marketing effectiveness through data. Key Responsibilities Marketing Performance & Channel Analytics Analyze the efficiency and ROI of marketing channels (e.g., paid search, social, email, affiliates), identifying performance trends and optimization opportunities. Support channel incrementality testing, including design, measurement, and interpretation of test results to determine true lift and return from campaigns. Translate findings from Marketing Mix Models (MMM), attribution models (GA4, MTA, last-click), and driver tree frameworks into actionable recommendations for budget and channel strategy. Conduct post-campaign analysis to identify what worked, what didn’t, and where opportunities exist for improvement. Customer & Ad Hoc Analytics Partner with onshore stakeholders to solve ad hoc business questions related to customer engagement, retention, segmentation, and lifecycle behavior. Identify and explain key business drivers influencing metrics like revenue, traffic, conversions, or churn using structured frameworks and analytical methods. Visualization & Reporting Build and maintain automated, insightful dashboards using Tableau and Looker that track marketing performance, customer behavior, and attribution outcomes. Design reporting views that make complex modeling output (e.g., MMM or GA4 attribution data) intuitive and digestible for marketing stakeholders. Ensure data pipelines and visualizations are accurate, scalable, and aligned with business definitions. Data Extraction & Quality Write efficient, scalable SQL queries to extract and manipulate large datasets from cloud platforms (e.g., GCP BigQuery). Support ongoing data validation, anomaly detection, and root cause investigation to ensure confidence in insights delivered. Team Collaboration & Agile Delivery Work closely with onshore marketing analytics leads, campaign managers, and CRM teams to align on goals and interpret insights in business context. Participate in Agile ceremonies (e.g., standups, sprint planning) and support documentation and stakeholder communication. Requirements 3–4 years of analytics experience, with a strong foundation in marketing or customer analytics. Proficient in SQL for querying and analyzing large datasets. Hands-on experience with Tableau, Looker, or similar BI tools for building dashboards and visualizations. Familiarity with marketing KPIs such as ROI, conversion rate, CAC, LTV, and incrementality. Strong analytical thinking, with the ability to turn model outputs into real-world business narratives. Clear verbal and written communication skills to share insights with technical and non-technical stakeholders. Comfortable working in Agile or cross-functional teams using tools like Jira, Confluence, or Slack. Preferred Qualifications Exposure to MMM, GA4, MTA, or other attribution models and frameworks. Experience supporting or interpreting incrementality experiments and A/B testing for paid media or CRM programs. Familiarity with retail or e-commerce environments and omnichannel marketing strategies. Understanding of driver tree modeling, campaign forecasting, or uplift modeling concepts.

Calling all innovators – find your future at Fiserv. We’re Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day – quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we’re involved. If you want to make an impact on a global scale, come make a difference at Fiserv. Job Title Specialist, Technical Business Analysis What does a great Business Analyst do in Fiserv? Consults with project teams and functional units on the design of important projects or services. Helps support existing business systems applications and demonstrates proficiency and leadership. Balances and prioritizes project work efficiently. Utilizing data to provide insights and actionable recommendations, they help inform decision-making and strategy development. What You Will Do The candidate for this position will leverage your expertise in data analysis, machine learning, and statistical modeling to uncover insights and develop predictive models that enhance our fraud rules. You will collaborate with cross-functional teams to analyze vast amounts of transactional data, identify patterns of fraudulent behavior, and continuously improve our monitoring systems. Your contributions will play a crucial role in enhancing the effectiveness of our solutions and protecting our clients from evolving threats. Must have excellent communication skills, as the role periodically interfaces with clients, vendors and business partners. What You Will Need To Have Bachelor's degree in Computer Science or Engineering, or relevant work experience IT experience with background in development. Minimum of 5 year’s experience in fraud analysis, investigations, or a related field, preferably in the financial services or e-commerce sector. Proficiency in programming languages such as Python or R for data analysis and model development. Familiarity with SQL for querying and managing relational databases. Solid understanding of statistical methods and techniques, including regression analysis, clustering, time series analysis, and classification. Excellent analytical skills with the ability to derive insights from complex datasets. Strong communication skills to effectively convey technical findings to non-technical stakeholders. Ability to work collaboratively in a fast-paced, team-oriented environment. Strong written and verbal communication skills, with the ability to present findings and recommendations clearly to stakeholders. Self-motivated, proactive, and able to work independently as well as collaboratively in a team environment. What Would Be Great To Have Knowledge of financial technologies, standards, and industry regulations (i.e., Payment Card Industry Data Security Standards) are highly preferred Knowledge of and experience with JIRA, Service Point and Confluence products. Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, Keras) and data manipulation libraries (e.g., Pandas, NumPy). Conclusion The role demands Analyze large datasets to identify trends, patterns, and anomalies that may indicate payment card compromises across a client’s portfolio and Develop, implement, and maintain predictive models and machine learning algorithms to enhance fraud detection capabilities. Thank You For Considering Employment With Fiserv. Please Apply using your legal name Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable). Our Commitment To Diversity And Inclusion Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law. Note To Agencies Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions. Warning About Fake Job Posts Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.

Calling all innovators – find your future at Fiserv. We’re Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day – quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we’re involved. If you want to make an impact on a global scale, come make a difference at Fiserv. Job Title Professional, Quality Assurance Engineering Job Posting Title : Software Development Engineer in Test (SDET) What does a successful SDETs do at Fiserv ? Execute integration, system, feature interaction, stress, performance testing for Clover products. Analyse and understand product requirements to enable software test case creation by participating in requirement gathering & analysis. Create and evaluate test cases for accuracy and applicability for products under test. Communicate testing progress through creating and maintaining test plans. Provide the Squad and all stakeholders with clear and real-time updates regarding test status, bug status, and overall quality about the product by monitoring failures, reporting bugs, analysing & triaging automated tests running in the Continuous Integration system. Find bugs and validate specifications through black box testing techniques (like test matrices, combination testing, and risk analysis) and gray box testing techniques (like database querying and source code analysis). Work side-by-side with the development team on testing in parallel and automating tests in the sprints. Develop automated tests with the appropriate technologies. Design and implement tools that improve efficiency in manual testing. What You Will Do Work as a part of a scrum team along with server engineers, frontend developers and Product managers. Take part in different agile ceremonies. Analyse and understand product requirements. Create and evaluate test cases for accuracy and applicability for products under test. Find bugs and validate specifications through black box testing techniques (like test matrices, combination testing, and risk analysis) and gray-box testing techniques (like database querying and source code analysis). Provide updates to Engr. Managers and other stakeholders with the status of testing. Automate test cases using appropriate tools and technologies. Test system performance when applicable. Support Production deployment and Bug triage What You Will Need To Have BS in an engineering discipline, preferably computer science or engineering, or equivalent work experience Proficient in black box, functional, and user flow testing technique. Have an eagle-eye for test coverage gaps, false positives or negatives. Constantly raise concerns about issues you notice, in or out of your area of ownership. Have the ability to write and understand code. Experience with software development tools (IDE, debugger, git, JIRA, etc). Familiarity with JSON objects, SQL queries, Data structures. Have a minimum of 4 years of experience in writing reliable and maintainable automated tests. Knowledge of design patterns, experience with creating test frameworks. Experience working with Java and JavaScript for Test Automation. Constantly looking for better solutions to bring down automation flakiness and increase automation reliability over time. Ability to build tools that will enable teams to write and automate tests. Experience with build management tools like Maven, Gradle. Ability to learn new tools quickly and independently. What Would Be Great To Have Experience with Continuous Integration process and tools (GitHub, Jira, Jenkins, RunDeck). Experience with monitoring tools like Grafana, Datadog, wavefront etc. Experience testing Android Devices, experience with adb and other android tools. Experience working with Karate DSL, Cypress, pact.io. Knowledge on Mocha with JavaScript for web, JUnit for the RESTful APIs, shell & Python Thank You For Considering Employment With Fiserv. Please Apply using your legal name Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable). Our Commitment To Diversity And Inclusion Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law. Note To Agencies Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions. Warning About Fake Job Posts Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.

Job Description Associate, Data Management & Quantitative Analysis I At BNY, our culture empowers you to grow and succeed. As a leading global financial services company at the center of the world’s financial system we touch nearly 20% of the world’s investible assets. Every day around the globe, our 50,000+ employees bring the power of their perspective to the table to create solutions with our clients that benefit businesses, communities and people everywhere. We continue to be a leader in the industry, awarded as a top home for innovators and for creating an inclusive workplace. Through our unique ideas and talents, together we help make money work for the world. This is what is all about. We’re seeking a future team member for the role of Associate, Data Management & Quantitative Analysis I to join our STRUCTURED DEBT BUSINESS team. This role is located in Chennai, TN – HYBRID. In this role, you’ll make an impact in the following ways: Under direct guidance, works with internal and external datasets and client reference data and provides analysis in the development of statistical, financial and/or econometric models for analyzing asset performance, securities data, risk exposure or other sophisticated concepts. Provides analytical support and prepares drafts of standard and ad hoc reports for assigned area. With general guidance, supports assigned areas with basic statistical and quantitative analyses. Sometimes performs more advanced analyses. Runs models, looks for exceptions, takes corrective action. Has some knowledge of technology tools used to conduct analyses conduct analyses. Applies techniques such as SQL, querying and macro development to extract data for populating models. To be successful in this role, we’re seeking the following: Bachelor’s degree in Computer Science or the equivalent combination of education and experience. Advanced degree in quantitative analysis preferred. 1-3 years of experience in quantitative finance or technology preferred. 1-3 years of experience in SQL or Microsoft Excel VBA or Microsoft Access preferred. At BNY, our culture speaks for itself. Here’s a few of our awards: America’s Most Innovative Companies, Fortune, 2024 World’s Most Admired Companies, Fortune 2024 Human Rights Campaign Foundation, Corporate Equality Index, 100% score, 2023-2024 Best Places to Work for Disability Inclusion , Disability: IN – 100% score, 2023-2024 “Most Just Companies”, Just Capital and CNBC, 2024 Dow Jones Sustainability Indices, Top performing company for Sustainability, 2024 Bloomberg’s Gender Equality Index (GEI), 2023 Our Benefits And Rewards BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter. BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.

Position Overview Job Title- Data Science Engineer, AS Location- Bangalore, India Role Description We are seeking a Data Science Engineer to contribute to the development of intelligent, autonomous AI systems The ideal candidate will have a strong background in agentic AI, LLMs, SLMs, vector DB, and knowledge graphs. This role involves deploying AI solutions that leverage Retrieval-Augmented Generation (RAG) Multi-agent frameworks Hybrid search techniques to enhance enterprise applications. What We’ll Offer You As part of our flexible scheme, here are just some of the benefits that you’ll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your Key Responsibilities Design & Develop Agentic AI Applications: Utilise frameworks like LangChain, CrewAI, and AutoGen to build autonomous agents capable of complex task execution. Implement RAG Pipelines: Integrate LLMs with vector databases (e.g., Milvus, FAISS) and knowledge graphs (e.g., Neo4j) to create dynamic, context-aware retrieval systems. Fine-Tune Language Models: Customise LLMs (e.g., Gemini, chatgpt, Llama) and SLMs (e.g., Spacy, NLTK) using domain-specific data to improve performance and relevance in specialised applications. NER Models: Train OCR and NLP leveraged models to parse domain-specific details from documents (e.g., DocAI, Azure AI DIS, AWS IDP) Develop Knowledge Graphs: Construct and manage knowledge graphs to represent and query complex relationships within data, enhancing AI interpretability and reasoning. Collaborate Cross-Functionally: Work with data engineers, ML researchers, and product teams to align AI solutions with business objectives and technical requirements. Optimise AI Workflows: Employ MLOps practices to ensure scalable, maintainable, and efficient AI model deployment and monitoring. Your Skills And Experience 4+ years of professional experience in AI/ML development, with a focus on agentic AI systems. Proficient in Python, Python API frameworks, SQL and familiar with AI/ML frameworks such as TensorFlow or PyTorch. Experience in deploying AI models on cloud platforms (e.g., GCP, AWS). Experience with LLMs (e.g., GPT-4), SLMs (Spacy), and prompt engineering. Understanding of semantic technologies, ontologies, and RDF/SPARQL. Familiarity with MLOps tools and practices for continuous integration and deployment. Skilled in building and querying knowledge graphs using tools like Neo4j. Hands-on experience with vector databases and embedding techniques. Experience in developing AI solutions for specific industries such as healthcare, finance, or e-commerce. How We’ll Support You Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs About Us And Our Teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

Job Description Leverage your technical expertise to shape innovative solutions and align capabilities to solve real-world challenges! As an AI/ML Senior Associate, you'll primarily focus on applying Large Language Models (LLM) and Generative AI (GenAI) on different use cases and detailed technical documentation of these AI/ML and LLM/GenAI solutions. You will also engage in some traditional AI/ML model development and documentation to enhance organizational efficiency. You'll contribute to building, implementing, testing, and analyzing ML/AI solutions. Your success will depend on your ability to understand data relationships, use data-driven solutions, and effectively document these products. Strong communication skills are essential for collaborating with key stakeholders across functions and lines of business. Job Responsibilities Develop and document innovative AI/ML models with a focus on GenAI and LLM use cases (using out-of-the-box models). Execute AI/ML model development, ensuring alignment with organizational goals. Document use cases and technical solutions. Apply out-of-the-box LLM products to address various business challenges and create efficiencies. Collaborate with cross-functional teams to identify opportunities for AI/ML integration. Conduct experiments and validate hypotheses to ensure the effectiveness of AI/ML solutions. Provide insights and recommendations based on data analysis and model outcomes. Required Qualifications, Capabilities, And Skills Formal training or certification on software engineering concepts and 2+ years applied experience Hands on experience in AI/ML development and application. BS degree in a related field, such as Data Science, Computer Science, Engineering, or similar STEM discipline. Strong understanding of GenAI and LLM technologies and their applications. Experience working with Large Language Models (LLM), Retrieval-Augmented Generation (RAG), and AI agents, including their design, implementation, and optimization Experience with the use of system prompting, prompt tuning, vector databases and implementing effective guardrails to ensure safe and reliable AI interactions and understanding of AI libraries such as (AutoGen, Langchain, Pydantic, LangGraph) Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Proficiency in programming languages such as Python or R for AI/ML model development/deployment. Experience with AI/ML frameworks and libraries. Ability to translate complex technical concepts into clear documentation and presentations. Strong problem-solving skills and a creative approach to AI/ML application. Preferred Qualifications, Capabilities, And Skills Experience in applying AI/ML solutions in industries such as finance, or technology. Deep understanding of traditional AI/ML techniques as well as GenAI/LLM models. Excellent communication skills for collaboration with stakeholders at various levels.Leverage your technical expertise to shape innovative solutions and align capabilities to solve real-world challenges!

About Delta Tech Hub: Delta Air Lines (NYSE: DAL) is the U.S. global airline leader in safety, innovation, reliability and customer experience. Powered by our employees around the world, Delta has for a decade led the airline industry in operational excellence while maintaining our reputation for award-winning customer service. With our mission of connecting the people and cultures of the globe, Delta strives to foster understanding across a diverse world and serve as a force for social good. Delta has fast emerged as a customer-oriented, innovation-led, technology-driven business. The Delta Technology Hub will contribute directly to these objectives. It will sustain our long-term aspirations of delivering niche, IP-intensive, high-value, and innovative solutions. It supports various teams and functions across Delta and is an integral part of our transformation agenda, working seamlessly with a global team to create memorable experiences for customers. “Why join?”: Technology is a key enabler of the differentiated services that Delta provides. At the DTH, you get the opportunity to work on projects with a significant impact on business outcomes and customer experience. Deepen your knowledge by taking part in multifaceted learning and development programs –exposure to extensive internal and partner repositories, institutional affiliations, and industry SIG (Special Interest Groups) partnerships. Collaborate with research, innovation and IP co-development partners. Immerse yourself in an employee-centric culture. Develop deep and broad business acumen on airline operations while retaining focus on cutting-edge technology driven solutions. Avail a full range of benefits that support you and your family: Insurance, Commute, Meals, Retirement, and Special Travel opportunities. Avail a full range of benefits that support you and your family: Insurance, Commute, Meals and special travel opportunities. HOW YOU WILL HELP US KEEP CLIMBING (OVERVIEW & KEY RESPONSIBILITIES): The Full Stack Developer, Java / API will be responsible for designing, developing, documenting, testing and debugging new and existing software APIs as well as applications within our Revenue Account environment. The Full Stack Developer must have a strong understanding of user and process requirements and the ability to ensure those requirements can be achieved through high-quality deliverables. Key responsibilities: Design and develop cloud-native applications, features and enhancements with an emphasis on clean, highly efficient, supportable, and well documented code for the full technological stack Contribute to agile development teams following 12 Factor application development principles Collaborate effectively within team environment WHAT YOU NEED TO SUCCEED (MINIMUM QUALIFICATIONS): Embraces Diverse people, thinking and styles Consistently makes safety and security, of self and others, the priority 3+ years of experience with Java/J2EE development, hands-on troubleshooting and deployment Knowledge of full stack Cloud-native development, RESTful APIs, Graph based APIs and serverless microservices with Springboot Knowledge and experience with DevOps: Git, Jenkins and/or Ansible Knowledge of Microservices. Knowledge and/or experience with messaging solutions such as ActiveMQ or Kafka. Must have the ability to clearly communicate with peers, business analysts, and subject matter experts Must have the ability to listen to customers and colleagues; convey ideas effectively; prepare written documentation Proactive in nature with customer satisfaction as a primary goal Experience deploying applications in AWS or OpenShift (Kubernetes) Hands on experience of programming concept such as OOPs in scripting languages like Java, Python and JavaScript Hands on experience with one or more querying languages. Hands on experience of building test automation framework from ground up using modular framework and design pattern like Page Object Model design pattern (POM) etc. Hands on experience working with source code management tools such as GitLab, GitHub, AWS Code Commit etc. Able to independently create and maintain automation test jobs using tools such as Jenkins. Ability to quickly adapt to new tools and evolving technologies. Excellent verbal and written communication. Experience using AI tools for development and other tasks WHAT WILL GIVE YOU A COMPETITIVE EDGE (PREFERRED QUALIFICATIONS): Experience of working with AWS cloud services such as EC2, s3 bucket, AWS code pipeline, CDK, cloudwatch etc. Solid data modeling skills for DB2, SQL (Oracle) and NoSQL (Cassandra, MongoDB) Candidate should have hands on experience of writing, maintaining automated UI and APIs tests written in Java, Python using various open-source testing libraries like Selenium, Cypress, REST Assured, etc. Hands on experience in automating backend REST services including writing custom functions using tools such as Postman, REST Assured, Cypress, Ready API etc. Experience of working in distributed agile teams using agile frameworks such as SCRUM, SAFe, XP etc. Hands on experience of creating test reports from automation test run using tools such as cucumber report, Extent report etc. Knowledge and experience with the Travel Industry and/or Finance Knowledge and experience with Test Driven Development with a testing framework Knowledge and Experience of Caching Frameworks (ehCache, Redis etc) Hands on experience of virtualizing services for test automation using tools such as Wire Mock, Mockito etc. Experience of writing, designing functional test cases using TDD and BDD methodologies using Gherkin syntax. Experience of working with test management and agile management tools such as VersionOne, qTest etc. Experience of working with container orchestration tools such as docker, RED Hat OpenShift, AWS CloudFormation. Experience of non-functional testing such as performance, load, stress, security, compliance and usability testing.

Company Name: Bilight Solutions Location: Chennai, Tamil Nadu (Nungambakkam) Job Type: Full-time Experience Level: Mid-level (2-5 years) About the Role We are looking for a skilled and motivated Data Scientist to join our team in Chennai. This is a work-from-office position located in the Nungambakkam area. You will be responsible for leveraging data to solve complex business challenges, driving strategic decisions, and creating innovative solutions. You will work on the full lifecycle of data science projects, from problem formulation and data collection to model development, deployment, and monitoring. We are looking for candidates who can join immediately and have a strong ability to work collaboratively and lead. Key Responsibilities Team Leadership: Take on a leadership role within the data science team, guiding junior members and ensuring project success. Problem Solving: Collaborate with stakeholders to understand business problems and formulate data-driven solutions. Data Analysis: Collect, clean, and analyze large and complex datasets to identify trends, patterns, and insights. Model Development: Design, develop, and implement statistical models, machine learning algorithms, and predictive systems. ETL & Data Pipelines: Be well-versed in the ETL process to build and maintain data pipelines for efficient data flow. Data Visualization: Utilize Tableau Prep, Desktop, and Server to create compelling data visualizations and interactive dashboards. Communication: Present findings and recommendations to both technical and non-technical audiences, telling a clear and compelling story with data. Collaboration: Work closely with data engineers, software developers, product managers, and business analysts. Continuous Learning: Stay up-to-date with the latest advancements in data science, machine learning, and AI, and apply them to business problems. Required Qualifications Education: Bachelor’s, Master’s, or Ph.D. in a quantitative field such as Computer Science, Statistics, Mathematics, Physics, Engineering, or a related discipline. Experience: 2-5 years of professional experience as a Data Scientist or in a similar role, with a proven track record of team leadership. Technical Skills: Strong proficiency in SQL for data querying and manipulation. Strong proficiency in Python and its data science libraries (e.g., Pandas, NumPy, Scikit-learn). Proven experience with the ETL process and building data pipelines. Data Visualization: In-depth knowledge of and hands-on experience with the Tableau suite, including Tableau Prep, Desktop, and Server . Machine Learning: Deep knowledge of machine learning concepts and algorithms (e.g., regression, classification, clustering, time series analysis). Statistical Analysis: Strong foundation in statistical concepts, including hypothesis testing, experimental design, and predictive modeling. Preferred Skills & Experience: Experience with big data technologies (e.g., Spark, Hadoop). Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data science services. Knowledge of MLOps tools and practices (e.g., Docker, Kubernetes, MLflow, Airflow). Experience with Large Language Models (LLM) and Natural Language Processing (NLP). Proven experience in a team leadership or mentorship role. Job Types: Full-time, Permanent Pay: From ₹450,000.00 per year Benefits: Health insurance Provident Fund Schedule: Day shift Monday to Friday Work Location: In person

Description Job Summary: We are seeking a passionate and experienced Fullstack Developer with strong hands-on skills in React.js, Node.js, GraphQL, and AWS Cloud. You will play a key role in designing, developing, and maintaining scalable applications for global enterprise-grade platforms. Requirements Required Skills & Experience: Minimum 6 Years Of Hands-on Experience In Fullstack Development. Strong proficiency in React.js (Hooks, Redux, Functional Components). Expertise in Node.js (Express.js or similar frameworks). Solid experience in GraphQL API design and integration. Deep understanding and working experience with AWS Cloud Services (Lambda, EC2, S3, API Gateway, CloudFormation, etc.). Familiarity with CI/CD, Git, and modern DevOps practices. Strong problem-solving skills and ability to work independently in a fast-paced environment. Job responsibilities Key Responsibilities: Design, develop, and maintain robust and scalable web applications using React.js and Node.js. Develop and integrate GraphQL APIs for efficient data querying and communication. Implement cloud-native solutions on AWS, ensuring high availability, scalability, and security. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Ensure high-quality code through unit testing, code reviews, and CI/CD pipelines. Troubleshoot and debug issues across the full stack (frontend to backend to cloud). Optimize application performance and implement best practices for scalability. What we offer Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally. Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today. Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way! High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do. About GlobalLogic GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.

Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Sr Analytics Engineer - Hyderabad, India . About Warner Bros. Discovery Warner Bros. Discovery, a premier global media and entertainment company, offers audiences the world's most differentiated and complete portfolio of content, brands and franchises across television, film, streaming and gaming. The new company combines Warner Media’s premium entertainment, sports and news assets with Discovery's leading non-fiction and international entertainment and sports businesses. For more information, please visit www.wbd.com. Meet Our Team The Data & Analytics organization is at the forefront of developing and maintaining frameworks, tools, and data products vital to WBD, including flagship streaming product Max and non-streaming products such as Films Group, Sports, News and overall WBD eco-system. Our mission is to foster unified analytics and drive data-driven use cases by leveraging a robust multi-tenant platform and semantic layer. We are committed to delivering innovative solutions that empower teams across the company to catalyze subscriber growth, amplify engagement, and execute timely, informed decisions, ensuring our continued success in an ever-evolving digital landscape Roles & Responsibilities As a Sr Analytics Engineer, you will lead data pipeline, data strategy, and data visualization-related efforts for the Data & Analytics organization at Max. You’re an engineer who not only understands how to use big data in answering complex business questions but also how to design semantic layers to best support self-service vehicles. You will manage projects from requirements gathering to planning to implementation of full-stack data solutions (pipelines to data tables to visualizations). You will work closely with cross-functional partners to ensure that business logic is properly represented in the semantic layer and production environments, where it can be used by the wider Product Analytics team to drive business insights and strategy. Design and implement data models that support flexible querying and data visualization. Partner with Product stakeholders to understand business questions and build out advanced analytical solutions. Advance automation efforts that help the team spend less time manipulating & validating data and more time analyzing. Build frameworks that multiply the productivity of the team and are intuitive for other data teams to leverage. Participate in the creation and support of analytics development standards and best practices. Create systematic solutions for solving data anomalies: identifying, alerting, and root cause analysis. Work proactively with stakeholders to ready data solutions for new product and/or feature releases, with a keen eye for uncovering and troubleshooting any data quality issues or nuances. Identify and explore new opportunities through creative analytical and engineering methods. What To Bring Bachelor's degree, MS or greater in a quantitative field of study (Computer/Data Science, Engineering, Mathematics, Statistics, etc.) 5+ years of relevant experience in business intelligence/data engineering Expertise in writing SQL (clean, fast code is a must) and in data-warehousing concepts such as star schemas, slowly changing dimensions, ELT/ETL, and MPP databases Experience in transforming flawed/changing data into consistent, trustworthy datasets, and in developing DAGs to batch-process millions of records Experience with general-purpose programming (e.g. Python, Java, Go), dealing with a variety of data structures, algorithms, and serialization formats Experience with big-data technologies (e.g. Spark, Kafka, Hive) Advanced ability to build reports and dashboards with BI tools (such as Looker and Tableau) Experience with analytics tools such as Athena, Redshift/BigQuery, Splunk, etc. Proficiency with Git (or similar version control) and CI/CD best practices Experience in managing workflows using Agile practices Ability to write clear, concise documentation and to communicate generally with a high degree of precision Ability to solve ambiguous problems independently Ability to manage multiple projects and time constraints simultaneously Care for the quality of the input data and how the processed data is ultimately interpreted and used Experience with digital products, streaming services, or subscription products is preferred Strong written and verbal communication skills Characteristics & Traits Naturally inquisitive, critical thinker, proactive problem-solver, and detail-oriented. Positive attitude and an open mind Strong organizational skills with the ability to act independently and responsibly Self-starter, comfortable initiating projects from design to execution with minimal supervision Ability to manage and balance multiple (and sometimes competing) priorities in a fast-paced, complex business environment and can manage time effectively to consistently meet deadlines Team player and relationship builder What We Offer A Great Place to work. Equal opportunity employer Fast track growth opportunities How We Get Things Done… This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law. If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.