1516 Clustering Jobs - Page 7

About The Role We're seeking a skilled and motivated ML/AI Engineer to join our team and drive end-to-end AI development for cutting-edge healthcare prediction models. As part of our AI delivery team you will be working on designing, developing, and deploying ML models to solve complex business challenges. Key Responsibilities Design, develop, and deploy scalable machine learning models and AI solutions. Collaborate with engineers and product managers to understand business requirements and translate them into technical solutions. Analyse and preprocess large datasets for training and testing ML models. Experiment with different ML algorithms and techniques to improve model performance. Technical Skills Proficiency in programming languages such as Python & R Strong knowledge of classical machine learning algorithms with hands on experience in the following : Supervised (Classification model, regressions models) Unsupervised, (Clustering Algorithms, Autoencoders) Ensemble Models (Stacking, Bagging, Boosting techniques, Random Forest, XGBoost) Experience in data preprocessing, feature engineering, and handling large-scale datasets. Model evaluation techniques like accuracy, precision, recall, F1 score, AUC-ROC for classification, and MAE, MSE, RMSE, R-squared for regression. Explainable AI (XAI) techniques include methods like SHAP values, LIME, feature importance from decision trees, and partial dependence plots. Experience with ML frameworks like TensorFlow, PyTorch, Scikit-learn, or Keras. Building & deploying Model APIs using framework like Flask, Fast API, Django, TensorFlow Serving etc. Knowledge of cloud platforms like Azure (preferred), AWS, GCP and experience deploying models in such environments. Nice To Have Object Oriented Programming. Familiarity with NLP, or time series analysis. Exposure to deep learning models (RNN, LSTM) and working with GPUs. (ref:hirist.tech)

About Data Axle Data Axle Inc. has been an industry leader in data, marketing solutions, sales and research for over 45 years in the US. Data Axle has set up a strategic global centre of excellence in Pune. This centre delivers mission critical data services to its global customers powered by its proprietary cloud-based technology platform and leveraging proprietary business & consumer databases. Data Axle is headquartered in Dallas, TX, USA. General Summary We are looking for a Associate Data Engineer who will design, implement and support an analytical data infrastructure providing ad-hoc access to large datasets and computing power. Roles & Responsibilities Design, implement and support an analytical data infrastructure providing ad-hoc access to large datasets and computing power. Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies. Create and support real-time data pipelines built on AWS technologies including Glue, Redshift/Spectrum, Kinesis, EMR and Athena. Continually research the latest Big Data and visualization technologies to provide new capabilities and increase efficiency. Work closely with team members to drive real-time model implementations for monitoring and alerting of risk systems. Collaborate with other tech teams to implement advanced analytics algorithms that exploit our rich datasets for statistical analysis, prediction, clustering and machine learning. Help continually improve ongoing reporting and analysis processes, automating or simplifying customer self-service support.

WebMD and its affiliates is an Equal Opportunity/Affirmative Action employer and does not discriminate on the basis of race, ancestry, color, religion, sex, gender, age, marital status, sexual orientation, gender identity, national origin, medical condition, disability, veterans status, or any other basis protected by law. About PulsePoin t: PulsePoint is a fast-growing healthcare technology company (with adtech roots) using real-time data to transform healthcare. We help brands and agencies interpret the hard-to-read signals across the health journey and unify these digital determinants of health with real-world data to produce the most dimensional view of the customer. Our award-winning advertising platforms use machine learning and programmatic automation to seamlessly activate this data, making marketing, predictive analytics, and decision support easy and instantaneous. Description Our Data & Analytics team is at the very heart of what makes PulsePoint an innovative, fast-paced, and market-changing company. Our path forward is through data and this team is in the driver's seat for the journey. The Big Picture : You will build, deliver & continually innovate on PulsePoint's insightful reporting and data-driven solutions. Your efforts help alleviate friction points and streamline processes that enable internal teams to provide exceptional service, powering the decisions of our customers. As a Data Engineer, ML/Data Science , you will use your data science and stats expertise to contribute to R&D projects for DTC, new Data Products, and Bespoke Segments expansion. You can work fully remotely in India, and we will provide you with a company-issued laptop. This is a FTE role. In short, you will be the conduit through which we will revolutionize health decisions through real-time data. Key Responsibilities: Write robust, modular, production-ready code in Python and SQL , following best practices in OOP , version control (Git) , and software design principles. Collaborate with other data scientists to design and productionize ML models and integrate them into end-to-end data systems. Build tools, frameworks and ETL/ELT pipelines to enable efficient data access, processing, and model deployment. Apply a working knowledge of common ML algorithms (classification, regression, clustering, etc.) to support experimentation and solution design. Here are some projects you can help with: Data science & stats-related projects Work on R&D projects for DTC Help build new Data Products Contribute to Bespoke Segments expansion Help us design and define the methodology for our measurement products and user identification Continuously improve the quality of HCP onboarding/Targeting/measurement Audience IQ/DTC product development, Identity graph/Data IQ Collaborate with internal teams to delight our customers with timely and accurate data reporting that meets all requirements Research & implement new data products or capabilities Automate data visualization and reporting capabilities that empower users (both internal and external) to access data on their own, thereby improving quality, accuracy, and speed Synthesize raw data into actionable insights to drive business results, identify key trends and opportunities for business teams, and report the findings in a simple, compelling way Evaluate and approve additional data partners or data assets to be utilized for identity resolution, targeting, or measurement Enhance PulsePoint's data reporting and insights generation capability by publishing internal reports about Health data Act as the “Subject Matter Expert” to help internal teams understand the capabilities of our platforms, how to implement & troubleshoot Requirements Required qualifications: 2-6 years of hands-on experience as a Data Science Engineer, ML Engineer, or similar role 4-5+ years of relevant experience in: -Strong SQL skills for querying and managing structured datasets on cloud databases like GCP, AWS, Trino etc. -Highly proficient knowledge of Excel (pivot tables, VLOOKUP, formulas, functions) -Data analysis & manipulation -Solid programming experience in Python, especially in production environments (modular design, data validation, error handling, testing) At least a Bachelor’s degree in Business Intelligence and Analytics or closely related field Practical experience with: -Knowledge of Distributed Systems and Cluster computing frameworks like Apache Spark, for large-scale data processing and machine learning with PySpark ML -Google Cloud Architecture covering BigQuery, Cloud Storage (GCS), Compute Engine VMs, Dataproc clusters -ML Pipeline Orchestration -Deploying and managing ML models, with working knowledge of Bagging & Boosting Techniques, Model performance metrics, hyperparameter tuning etc. -MLOps practices, exposure to MLflow, Vertex AI, or other MLOps tools Experience with Containerization (Docker) and Kubernetes Knowledge of Airflow, Dagster, or similar orchestration tools Proven experience in experimentation methods and Stats modeling in support of product development and optimization Willing and able to work 3:30pm-12:30am IST, you can work fully remotely Preferred qualifications: Experience with LookML & DBT Understanding of Frontend Dev Tools And one of: -ELT experience -Tableau/Looker/PowerBI -Experience with automation Able to organize large data sets to answer critical questions, extrapolate trends, and tell a story Experience in Programmatic/Adtech Familiarity with health-related data sets What are ‘red flags’ for us : Candidates won’t succeed here if they haven’t worked closely with data sets or have simply translated requirements created by others into SQL without a deeper understanding of how the data impacts our business and, in turn, our clients’ success metrics. Selection Process (order of these sessions may be subject to change) : 1) Online SQL Test (40 mins) 2) Initial Screen (30 mins) 3) Hiring Manager Interview (45 mins) 4) Video call w/ Sr. Data Scientist (45 mins) 4) 1:1s w/ SVP of Data (30 mins)

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world. Job Details Job Posting Title: VMware Platform Operations Engineer Location: Hyderabad, India Job Profile: P1-P3 Job Type: Full-Time, Permanent Experience Level: 5-15+ years Lilly’s Purpose At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world. Come help us unlock the power of the Infrastructure Operations through AI & Automation! The Cloud and Connectivity organization is actively looking for a VMware ESX Platform Operations Engineer to join them. Do you like to solve challenges and have an interest in large scale impact? Would you like the ability to impact global public and private cloud infrastructure operations through AI and Automation? If so, please apply. Job Summary You will work in our Infrastructure Hosting Platform area developing and supporting the global technical operations of VMWare ESX based Infrastructure (IaaS) capabilities hosted on-premises along with Microsoft Azure. You will work closely with the team to maintain optimal performance and stability of our virtual infrastructure, contributing to the reliability and efficiency of our services across the organization. This role will have the opportunity to work with the most critical infrastructure supporting all Lilly Manufacturing and research sites in multi-datacenter stretch clusters. If you have a solid background in VMware administration, server virtualization, and thrive in dynamic enterprise environments, this role is for you. Our goal is to improve all aspects of our infrastructure availability and reliability through repeatable patterns, new architectural designs, improvements in observability to prevent outages to help increase value across the organization. The role will also provide guidance and direction to our global Lilly operations SMEs and connect with other platform infrastructure operations SME to deliver the daily operations associated with this area. How You’ll Succeed Be Bold – You will drive Infrastructure Operations to never have to fix the same problem twice through adoption of AI OPS, Event Driven Automation, and robust Observability. Be Fast - You will accelerate initiatives in areas such as: Infrastructure AI OPS automation, cloud IaaS management, and cloud infrastructure as code to enable critical business projects. Be Proactive - You will have groundbreaking chances to transform our operations processes using proactive, predictive, and automated AI & Observability capabilities. Be Your Best - You will bring a high learning agility and Infrastructure operations / engineer skills to help us enable the Lilly Technology strategy, identifying tech opportunities, and accelerate our AI OPS journey. What You Should Bring Technical expertise and leadership to turn ideas and concepts into solutions. Linux, Windows, VMware vSphere, Dell SAN storage or Cloud certifications are a bonus, or we are willing to help you develop. Technical leadership supporting enterprise grade infrastructure solutions and leading the deployment at multiple global locations. Strong Hands-on experience with automated infrastructure availability and resiliency (VMWare/vSphere/Storage replication) at enterprise scale along with virtualized Windows or Linux OS platforms. Knowledge and experience with modern VMware ESX, Azure VMware Service, IaaS cloud services (EC2, Azure Compute), or languages and tools such as Python, JSON, YAML, ARM, Git is a bonus. Optimize, configure, and maintain private cloud infrastructure capabilities to help Build, Configure, and Maintain systems. Consistent track record of high quality, agile focused, team-based solution delivery. Excellent analytical, problem solving and communication skills, working across global and diverse teams. Deep understanding of networking concepts like VLANs and trunking. Configure and manage VMware networking components, including Distributed Switches (vDS), to ensure efficient and secure network communication. Experience with Zerto and VMware HCX technologies is a plus. Key Responsibilities Infrastructure Design and Implementation: Lead the design, deployment, and management of VMware environments to support critical business applications. Team Leadership: Manage and mentor a team of engineers, providing technical guidance and fostering a collaborative work environment. Be able to lead and deliver small/medium scale projects like LCM’s, new Manufacturing sites, new tool implementations etc., Performance Optimization: Ensure the optimal performance, scalability, and reliability of VMware infrastructures. Identify and resolve performance bottlenecks. Troubleshooting and Support: Provide advanced troubleshooting for complex issues and ensure timely resolution to minimize downtime in the Vmware Infrastructure. Automation and Scripting: Identify, develop and maintain automation scripts to streamline operations and improve efficiency. Capacity Planning: Conduct capacity planning and performance analysis to ensure the infrastructure can meet future demands. Documentation: Maintain comprehensive documentation of system configurations, procedures, and troubleshooting guides. Collaboration: Work closely with other teams, including platform,network, storage, and security teams, to ensure seamless integration and operation of systems. Incident, Change and Request Management: Lead incident response efforts and perform root cause analysis to prevent future occurrences. Ensure changes and requests are addressed in a timely fashion by the team. Continuous Improvement: Identify areas for improvement in existing processes architecture and toolsets and implement enhancements to increase efficiency and reliability. Remote Support: Provide remote support to globally dispersed teams, ensuring consistent and reliable VMware services across all locations. Qualifications Education: Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience). Certifications: VMware certifications such as VMware Certified Professional (VCP) are highly desirable. Additional certifications in related technologies are a plus. Experience: 5-15+ years of experience in VMware administration and operations within enterprise environments. Technical Skills VMware ESXi Proficiency: Expert in installation, configuration, and management of VMware ESXi hosts. VMware Tools: Extensive experience with vCenter Server, VMware Update Manager (VUM), and other VMware management tools. Virtualization Concepts: Understanding of virtualization technologies, including experience with virtual machine provisioning and resource management. Clustering Technologies: Strong understanding of HA, DRS clusters, and Metro Stretch Clusters. Server Clustering: Proven ability to add, modify, and delete server clusters within vCenters. Networking Skills: Proficient in networking concepts such as VLANs, trunking, and VMware networking components like Distributed Switches (vDS). Physical Hardware Knowledge: Experience managing physical hardware from various vendors, ensuring optimal operation through regular patching and firmware updates. Automation Expertise: Skilled in scripting and automation using tools like PowerShell, Python, and familiarity with automation platforms. Additional Skills Cloud Services: Knowledge and experience with Azure VMware Service and IaaS cloud services like AWS EC2 and Azure Compute. Problem-Solving: Strong analytical skills with the ability to troubleshoot and resolve technical issues effectively. Time Management: Ability to work independently, manage multiple priorities, and meet deadlines effectively in a fast-paced environment. Customer Focus: Commitment to providing high-quality service and support to internal stakeholders. Modern Toolsets: Familiarity with new-age management and monitoring tools. Communication: Strong verbal and written communication skills, capable of working across global and diverse teams. Leadership: Demonstrated ability to provide technical leadership and guide teams in high quality, agile focused, team-based, enterprise-grade, infrastructure solutions delivery globally. Desirable Skills Cloud Services Exposure: Basic understanding of cloud platforms such as Microsoft Azure or AWS. Storage Technologies: Knowledge of storage solutions and how they integrate with VMware environments. Monitoring Tools: Experience with monitoring and management tools for infrastructure health. OS Proficiency: Knowledge of Linux and Windows operating systems. Scripting Languages: Familiarity with JSON, YAML, ARM templates. Version Control Systems: Familiarity with version control systems like Git is a plus. Soft Skills Strong analytical and troubleshooting skills, with the ability to handle complex technical challenges. Ability to prioritize, multitask, and work effectively under pressure in a fast-paced environment. Additional Information Role located in Hyderabad (relocation required) Availability to work flexible work hours is/may be required. This team will support continuous operations across two shifts and therefore, this role will require non-standard work hours, and some work on weekends and holidays. Appropriate adjustments in benefits will be provided for employees working non-standard hours where applicable. Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response. Lilly does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status. #WeAreLilly

Job Description Specialist, Oncology Global Commercial Pipeline Analytics, HHDDA Our Human Health Digital Data and Analytics (HHDDA) team is innovating how we understand our patients and their needs. Working cross functionally we are inventing new ways of engaging, interacting with our customers and patients leveraging digital, data and analytics and measuring the impact. The Specialist, Oncology Global Commercial Pipeline Analytics, HHDDA will be responsible for developing and delivering data and analytics, generating strategic insights, and addressing key business questions from the Global Oncology New Products Marketing team to inform current and future pipeline strategies. The team member will partner closely with multiple cross-functional teams, including global marketing, regional marketing, clinical, outcomes research, medical affairs, as well as across the depth of the HHDDA organization. Reporting to Associate Director, Oncology Global Commercial Pipeline Analytics, within HHDDA, this role will lead the development of analytics capabilities for the innovative oncology new products and pipeline priorities, spanning all tumor areas across oncology and hematology. The successful candidate will ’connect the dots’ across HHDDA capability functions like market research, forecasting, payer insights & analytics, data science, data strategy & solutions. Primary Responsibilities Pipeline Analytics & Insights Conduct analytics and synthesize insights enable launch excellence for multiple new assets. Conceptualize and build set of analytics capabilities and tools anchored to our marketing and launch frameworks to support strategic decision- making for Global Oncology portfolio (e.g. market and competitor landscape assessment tools, commercial opportunity assessments, market maps, analytical patient and HCP journeys, benchmark libraries). Analytics Delivery Hands-on analytics project delivery with advanced expertise in data manipulation, analysis, and visualization using tools such as Excel-VBA, SQL, R, Python, PowerBI, ThoughtSpot or similar technologies and capabilities. Leverage a variety of patient modeling techniques including statistical, patient-flow, and simulations-based techniques for insight generation. Benchmarking Analytics Lead benchmarking analytics to collect, analyze, and translate insights into recommended business actions to inform strategic business choices. Stakeholder Collaboration Partner effectively with global marketing teams, HHDDA teams, and other cross-functional teams to inform strategic decisions and increase commercial rigor through all phases of pipeline asset development. Communication and Transparency Provide clear and synthesized communication to global marketing leaders and cross-functional teams, on commercial insights addressing the priority business questions. Required Experience And Skills Bachelor's degree, preferably in a scientific, engineering, or business-related field. Overall experience of 5+ years, with 3+ years of relevant experience in oncology commercialization, advanced analytics, oncology forecasting, insights syndication, clinical development, or related roles within the pharmaceutical or biotechnology industry Therapeutic area experience in Oncology and/or emerging oncology therapies Strong problem-solving abilities, to find and execute solutions to complex or ambiguous business problems. Experience conducting predictive modelling and secondary data analytics on large datasets using relevant skills (e.g., excel VBA, Python, SQL) and understanding of algorithms (such as regressions, decision trees, clustering etc.) Deep understanding of commercial Oncology global data ecosystem e.g., Epidemiology datasets, claims datasets, and real-world datasets Confident leader who takes ownership of responsibilities, is able to work autonomously and hold self and others accountable for delivery of quality output Strategic thinker who is consultative, collaborative and can “engage as equals.” Strong communication skills using effective storytelling grounded on data insights. Relationship-building and influencing skills with an ability to collaborate cross-functionally. Ability to connect dots across sources, and attention to detail Preferred Experience And Skills Experience in diverse healthcare datasets, insights, and analytics Experience in Life Science or consulting industry Therapeutic area experience in Oncology and/or emerging oncology therapies (especially in Lung, Melanoma and Head & Neck cancer) and companion diagnostics preferred Advanced degree (e.g., MBA, PharmD, PhD) preferred. Global experience preferred Team management experience Data visualization skills (e.g. PowerBI) Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status Regular Relocation VISA Sponsorship Travel Requirements Flexible Work Arrangements Hybrid Shift Valid Driving License Hazardous Material(s) Required Skills Biopharmaceutical Industry, Business Decisions, Business Intelligence (BI), Collaborative Communications, Collaborative Development, Cross-Functional Teamwork, Database Design, Data Engineering, Data Forecasting, Data Modeling, Data Science, Data Visualization, Digital Analytics, Health Data Analytics, Machine Learning, Patient Flow, Software Development, Stakeholder Engagement, Stakeholder Relationship Management, Strategic Insights, Waterfall Model Preferred Skills Job Posting End Date 07/31/2025 A job posting is effective until 11 59 59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID R353740

Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast. Job Summary Responsible for working cross-functionally to collect data and develop models to determine trends utilizing a variety of data sources. Retrieves, analyzes and summarizes business, operations, employee, customer and/or economic data in order to develop business intelligence, optimize effectiveness, predict business outcomes and decision-making purposes. Involved with numerous key business decisions by conducting the analyses that inform our business strategy. This may include: impact measurement of new products or features via normalization techniques, optimization of business processes through robust A/B testing, clustering or segmentation of customers to identify opportunities of differentiated treatment, deep dive analyses to understand drivers of key business trends, identification of customer sentiment drivers through natural language processing (NLP) of verbatim responses to Net Promotor System (NPS) surveys and development of frameworks to drive upsell strategy for existing customers by balancing business priorities with customer activity. Works with moderate guidance in own area of knowledge. Job Description 2–4 years of professional experience in software or data engineering roles. Hands-on experience with Power BI, Power BI Desktop, Power Apps, and Power Automate. Proficiency with Tableau and SharePoint. Familiarity with Amazon Redshift and SAP integration and data extraction. Strong analytical, troubleshooting, and communication skills. Comcast is proud to be an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law. Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality – to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details. Education Bachelor's Degree While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience. Relevant Work Experience 2-5 Years

Position Overview Job Title: Infra and DevOps Engineer Location: Pune, India Corporate Title: AS Role Description The Infra & DevOps team within DWS India, sits horizontally over the project delivery, committed to provide best in class shared services across build, release and QA Automation space. Its’ main functional areas encompass Environment build, Integration of QA Automation suite, Release and Deployment Automation Management, Technology Management and Compliance Management. This role will be key to our programme delivery and include working closely with stakeholders including client Product Owners, Digital Design Organisation, Business Analysts, Developers and QA to advise and contribute from Infra and DevOps capability perspective by Building and maintaining non-prod and prod environments, setting up end to end alerting and monitoring for ease of operation and oversee transition of the project to L2 support teams as part of Go Live. 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 Drives automation (incl. automated build, test and deploy) Supports and manages Data / Digital systems architecture (underlying platforms, APIs, UI, Datasets …) in line with the architectural vision set by the Digital Design Organisation across environments. Drives integration across systems, working to ensure service layer integrates with the core technology stack whilst ensuring that services integrate to form a service ecosystem Monitors digital architecture to ensure health and identify required corrective action Serve as a technical authority, working with developers to drive architectural standards on the specific platforms that are developing upon Build security into the overall architecture, ensuring adherence to security principles set within IT and adherence to any required industry standards Liaises with IaaS and PaaS service provides within the Bank to enhance their offerings. Liaises with other technical areas, conducting technology research, and evaluating software required for maintaining the development environment. Works with the wider QA function within the business to drive Continuous Testing by integrating QA Automation suites with available toolsets. Your Skills And Experience Proven technical hands on in Linux/Unix is a must have. Proven experience on Infrastructure Architecture - Clustering, High Availability, Performance and Tuning, Backup and Recovery. Hands-on experience with DevOps build and deploy tools like TeamCity, GIT / Bit Bucket / Artifactory and knowledge about automation/ configuration management using tools such as Ansible or relevant. A working understanding of code and scripting language such as (Python, Perl, Ruby or JS). In depth Knowledge and experience in Docker technology, OpenShift and Kubernetes containerisation Ability to deploy complex solutions based on IaaS, PaaS and public and private cloud-based infrastructures. Basic understanding of networking and firewalls. Knowledge of best practices and IT operations in an agile environment Ability to deliver independently: confidently able to translate requirements into technical solutions with minimal supervision Collaborative by nature: able to work with scrum teams, technical teams, the wider business, and IT&S to provide platform-related knowledge Flexible: finds a way to say yes and to make things happen, only exercising authority as needed to prevent the architecture from breaking Coding and scripting: Able to develop in multiple languages in order to mobilise, configure and maintain digital platforms and architecture. Automation and tooling: strong knowledge of the automation landscape, with ability to rapidly identify and mobilise appropriate tools to support testing, deployment etc Security: understands security requirements and can independently drive compliance Education / Certification Any relevant DevOps certification. Bachelor’s degree from an accredited college or university with a concentration in Science, Engineering, or an IT-related discipline (or equivalent). 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.

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Operations Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an AI/ML Engineer, you will develop applications and systems utilizing AI tools and Cloud AI services. You will create cloud or on-prem application pipelines with production-ready quality, applying GenAI models and technologies like deep learning, neural networks, chatbots, and image processing. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work-related problems. - Develop applications and systems utilizing AI tools and Cloud AI services. - Create cloud or on-prem application pipelines with production-ready quality. - Apply GenAI models as part of the solution. - Implement deep learning and neural networks technologies. - Design and develop chatbots and image processing solutions. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning Operations. - Strong understanding of statistical analysis and machine learning algorithms. - Experience with data visualization tools such as Tableau or Power BI. - Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. - Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: - The candidate should have a minimum of 3 years of experience in Machine Learning Operations. - This position is based at our Bengaluru office. - A 15 years full-time education is required. 15 years full time education

Job Description About Us: As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Target in India operates as a fully integrated part of Target’s global team and has more than 4,000 team members supporting the company’s global strategy and operations. Tech Overview Every time a guest enters a Target store or browses Target.com, they experience the impact of Target’s investments in technology and innovation. We’re the technologists behind one of the most loved retail brands, delivering joy to millions of our guests, team members, and communities. Join our global in-house technology team of more than 4,000 of engineers, data scientists, architects, coaches and product managers striving to make Target the most convenient, safe and joyful place to shop. We use agile practices and leverage open-source software to adapt and build best-in-class technology for our team members and guests—and we do so with a focus on diversity and inclusion, experimentation and continuous learning. Pyramid Overview Target.com and Mobile translates the in-store experience our guests love to the digital environment. Our Mobile Engineers develop native apps like Cartwheel and Target’s flagship app, which are high-impact and high-visibility assets that are game-changers for literally millions of guests. Here, you’ll get to explore emerging retail and mobile technologies, playing a key role in revolutionary product launches with tech giants like Apple and Google. You’ll be a visionary for the future of Target’s app ecosystem. You’ll have the advantage of Target’s unmatched brand recognition and special marketplace foothold—making us the partner of choice for innovative technologies like indoor mapping, iBeacons and Apple Pay. You’ll help Target evolve by using the latest open source tools and technologies and staying true to strong agile practices. You’ll lend your passion for engineering technologies that fix problems and meet needs guests didn’t even know they had. You’ll work on autonomous teams and incorporate the newest technical practices. You’ll have the chance to perform by writing rock-solid code that stands up to our massive scale. Plus, and perhaps best of all, you’ll have the right balance of self-rule and accountability for how technical products perform. Team Overview We are dedicated to ensuring a seamless and efficient checkout experience for Guests shopping on our digital channels, including web and mobile apps. Our team plays a crucial role in the overall shopping journey, focusing on the final and most critical steps of the purchase process. We are responsible for managing the seamless payments experience during Checkout , from the moment a Guest adds a payment to their cart to the final purchase confirmation. Our goal is to provide a smooth, secure, and user-friendly checkout process that enhances customer satisfaction and drives conversions. Our team is cross-geo located, with members driving different features and collaborating from both India and the US. This diverse setup allows us to leverage a wide range of expertise and perspectives, fostering innovative solutions and effective problem-solving. As part of the Digital Payments team , you will have the opportunity to work with cutting-edge technologies and innovative solutions to continuously improve the Checkout experience. Our collaborative and dynamic environment encourages creative problem-solving and the sharing of ideas to meet the evolving needs of our Guests. Position Overview Able to implement new features/fixes within the current framework with little or no direction. Able to troubleshoot problems and devise solutions for root cause. Hands-on development, often taking on the more complicated tasks. Ensures solution is production ready, deployable, scalable and resilient. Has advanced skills around technology for their area. Examples may include: computing topics, threading models, performance considerations, caching, database indexing, operating system internals, networking, infrastructure systems and operations. Researches the best design and new technologies for given problem. Evaluates technologies and documents decision making. Understands how the solution is deployed, examples may include: VMs, containers, clustering, load balancing, DNS, networking, and scalability. Recommends changes to internal processes and procedures when deficiencies are observed. Articulates the value of a technology. Approaches all engineering work with a security lens and actively looks for security vulnerabilities within code/infrastructure architecture when providing peer reviews. Contributes to open source where applicable. Helps tune and change the observability on their team accordingly. Is aware of the operational data for their team’s domain and uses it as a basis for suggesting stability and performance improvements. About You Experience: 2 years - 4 years 4 year degree or equivalent experience Excellent communication skills with both business partners and other engineering teams Familiar with Agile principles and possess a team attitude Strong problem solving and debugging skills Strong sense of ownership and the ability to work with a limited set of requirements Experience engineering applications for the JVM. Java or Kotlin experience is definitely needed. Experience in micro services, Spring Boot, and event driven architecture Experience building CI/CD pipelines Exposure to building high-performance scalable APIs is a plus. Knowledge of NoSQL technologies Cassandra, Elastic search, MongoDB is a plus Good at writing unit and functional tests and test-driven development Know More About Us Here Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

Preferrable : Immediate or less than 30 under Serving NP Overview seeking a highly skilled Compute Support L3 & L2 SME to join our Infrastructure Management Services team. The ideal candidate will be responsible for managing, maintaining, and ensuring the overall health of compute platforms, including Windows servers, Cisco UCS, Nutanix HCI, and VMware environments. Key Responsibilities Windows Operations: Manage and maintain physical and virtual Windows servers. Ensure resource utilization within threshold limits for CPU, memory, and storage. Perform system administration changes and monitor print queue operational services. Configure, manage, and troubleshoot MS-Failover Clustering and DFS/File Server Management. Cisco UCS: Monitor health of compute platforms including standalone servers and Cisco UCS. Support UCS B/C series server blades and configure Fabric Interconnects. Perform code upgrades and manage service profiles and server boot volumes. Nutanix HCI: Manage Hyperconverged infrastructure ensuring smooth operation. Perform periodic LCM checks and upgrades of software and hardware components. Administer Nutanix-Acropolis File Server and perform ESXi host patching/upgrades. VMware: Build, configure, and manage ESXi hosts across all regions. Perform security patches, hotfixes, and version upgrades. Coordinate/schedule VMware maintenance and manage virtual environment health checks. Other Responsibilities: Assist with user provisioning and access management. Maintain hardware inventory and manage third-party supplier coordination. Create/update SOPs, KB articles, and work instructions documents. Qualifications Bachelor's degree in Computer Science, Information Technology, or related field. Extensive experience in managing Windows servers, Cisco UCS, Nutanix HCI, and VMware environments. Strong knowledge of system administration, clustering, and virtualization technologies. Excellent problem-solving skills and ability to work in a fast-paced environment. Certifications in relevant technologies (e.g., VMware, Cisco, Nutanix) are a plus. Shift Coverage 24x5 on-seat support, with on-call support for P1 incidents.

Preferrable : Immediate or less than 30 under Serving NP Overview seeking a highly skilled Compute Support L3 & L2 SME to join our Infrastructure Management Services team. The ideal candidate will be responsible for managing, maintaining, and ensuring the overall health of compute platforms, including Windows servers, Cisco UCS, Nutanix HCI, and VMware environments. Key Responsibilities: Windows Operations: Manage and maintain physical and virtual Windows servers. Ensure resource utilization within threshold limits for CPU, memory, and storage. Perform system administration changes and monitor print queue operational services. Configure, manage, and troubleshoot MS-Failover Clustering and DFS/File Server Management. Cisco UCS: Monitor health of compute platforms including standalone servers and Cisco UCS. Support UCS B/C series server blades and configure Fabric Interconnects. Perform code upgrades and manage service profiles and server boot volumes. Nutanix HCI: Manage Hyperconverged infrastructure ensuring smooth operation. Perform periodic LCM checks and upgrades of software and hardware components. Administer Nutanix-Acropolis File Server and perform ESXi host patching/upgrades. VMware: Build, configure, and manage ESXi hosts across all regions. Perform security patches, hotfixes, and version upgrades. Coordinate/schedule VMware maintenance and manage virtual environment health checks. Other Responsibilities: Assist with user provisioning and access management. Maintain hardware inventory and manage third-party supplier coordination. Create/update SOPs, KB articles, and work instructions documents. Qualifications: Bachelor's degree in Computer Science, Information Technology, or related field. Extensive experience in managing Windows servers, Cisco UCS, Nutanix HCI, and VMware environments. Strong knowledge of system administration, clustering, and virtualization technologies. Excellent problem-solving skills and ability to work in a fast-paced environment. Certifications in relevant technologies (e.g., VMware, Cisco, Nutanix) are a plus. Shift Coverage: 24x5 on-seat support, with on-call support for P1 incidents.

Come work on fantastically high-scale systems with us! Blis is an award-winning, global leader and technology innovator in big data analytics and advertising. We help brands such as McDonald's, Samsung, and Mercedes Benz to understand and effectively reach their best audiences. In doing this, we are industry champions in our commitment to the ethical use of data and believe people should have control over their data and privacy. With offices across four continents, we are a truly international company with a global culture and scale. We’re headquartered in the UK, financially successful and stable, and looking forward to continued growth. We’d love it if you could join us on the journey! We are looking for solid and experienced Data Engineers to work on building out secure, automated, scalable pipelines on GCP. We receive over 350gb of data an hour and respond to 400,000 decision requests each second, with petabytes of analytical data to work with. We tackle challenges across almost every major discipline of data science, including classification, clustering, optimisation, and data mining. You will be responsible for building stable production level pipelines maximising the efficiency of cloud compute to ensure that data is properly enabled for operational and scientific cause. This is a growing team with big responsibilities and exciting challenges ahead of it, as we look to reach the next 10x level of scale and intelligence. Our employees are passionate about teamwork and technology and we are looking for someone who wants to make a difference within a growing, successful company. At Blis, Data Engineers are a combination of software engineers, cloud engineers, and data processing engineers. They actively design and build production pipeline code, typically in Python, whilst having practical experience in ensuring, policing, and measuring for good data governance, quality, and efficient consumption. To run an efficient landscape we are ideally looking for candidates that are comfortable with event- driven automation across also aspects of our operational pipelines. As a Blis data engineer, we seek to understand the data and problem definition and find efficient solutions, so critical thinking is a key component to efficient pipelines and effective reuse, this must include defining the pipelines for the correct controls and recovery points not only function and scale. Across the team, everyone supports each other through mentoring, brainstorming, and pairing up. They have a passion for delivering products that delight and astound our customers and that have a long-lasting impact on the business. They do this while also optimising themselves and the team for long-lasting agility, which is often synonymous with practicing Good Engineering. They are almost always adherents of Lean Development and work well in environments with significant amounts of freedom and ambitious goals. Shift : 12 pm - 8 pm (Mon - Fri) Location: Mumbai (Hybrid - 3 days onsite) Key Responsibilities Design, build, monitor, and support large scale data processing pipelines. Support, mentor, and pair with other members of the team to advance our team’s capabilities and capacity. Help Blis explore and exploit new data streams to innovative and support commercial and technical growth Work closely with Product and be comfortable with taking, making and delivering against fast paced decisions to delight our customers. This ideal candidate will be comfortable with fast feature delivery with a robust engineered follow up. Skills And Experience 5+ years direct experience delivering robust performant data pipelines within the constraints of direct SLA’s and commercial financial footprints. Proven experience in architecting, developing, and maintaining Apache Druid and Imply platforms, with a focus on DevOps practices and large-scale system re-architecture Mastery of building Pipelines in GCP maximising the use of native and native supporting technologies e.g. Apache Airflow Mastery of Python for data and computational tasks with fluency in data cleansing, validation and composition techniques. Hands-on implementation and architectural familiarity with all forms of data sourcing i.e streaming data, relational and non-relational databases, and distributed processing technologies (e.g. Spark) Fluency with all appropriate python libraries typical of data science e.g. pandas, scikit-learn, scipy, numpy, MLlib and/or other machine learning and statistical libraries Advanced knowledge of cloud based services specifically GCP Excellent working understanding of server-side Linux Professional in managing and updating on tasks ensuring appropriate levels of documentation, testing and assurance around their solutions. Desired Experience optimizing both code and config in Spark, Hive, or similar tools Practical experience working with relational databases, including advanced operations such as partitioning and indexing Knowledge and experience with tools like AWS Athena or Google BigQuery to solve data-centric problems Understanding and ability to innovate, apply, and optimize complex algorithms and statistical techniques to large data structures Experience with Python Notebooks, such as Jupyter, Zeppelin, or Google Datalab to analyze, prototype, and visualize data and algorithmic output About Us Blis is the geo-powered advertising tech stack. We’ve built a radically different omnichannel advertising solution structured on geography, not identity. Audience Explorer is our powerful audience planning platform delivering actionable intelligence & insight to advertisers. With Blis, advertisers can plan unified audiences with data from premium partners, connected by geo. Buy audiences using smart cookie less technology that can double performance and halve costs. Measure the audience, not just the channel, with patent-pending omnichannel measurement technology. Established in the UK in 2004, Blis now operates in more than 40 offices across five continents. Working with the world’s largest and most successful companies, as well as every major media agency. As an equal opportunity employer, we treat all our employees and job applicants fairly and equally. We oppose all forms of unlawful and unfair discrimination and take all reasonable steps to create a work environment in which all employees are treated with respect and dignity. We don't condone or tolerate any form of harassment, by employees or by others who do business with us. Our values Brave We're leaders not followers An innovation and growth mindset helps us solve everyday challenges and achieve breakthroughs. Our passion drives us to innovate. We don’t see barriers, just possibilities. We take ownership and hold ourselves accountable for outcomes, good and bad – and we don’t pass the buck. Love our clients We're client obsessed We do what we say and build trusted relationships with our partners for the long term. We act with integrity. We put our clients at the centre of our business. We obsess over the best insights, ideas and solutions to deliver WOW and work with honesty and accountability to get it done Inclusive We're one team We are empathetic and embrace diversity. Everyone has a voice and can bring their authentic self to work. We careabout and support each other – with humility and good humour. Mutual respect and wellbeing are key. We striveto eliminate bias and be open and transparent. Solutions driven We're action oriented Speed matters in business, so we're solution-driven and action-oriented. We value simplification and calculated risk taking. We are lean, agile and resourceful self-starters.We collaborate and break silos, working thoughtfully and with urgency to solve problems, while learning from mistakes and celebrating wins.

Join us as a Windows Server Engineer at Barclays, responsible for supporting the successful delivery of Location Strategy projects to plan, budget, agreed quality and governance standards. You'll spearhead the evolution of our digital landscape, driving innovation and excellence. You will harness cutting-edge technology to revolutionise our digital offerings, ensuring unparalleled customer experiences.. To be successful as a Windows Server Engineer you should have experience with:. Technical Leadership: Able to demonstrate technical expertise for the Windows Server product and specifically, building Ansible solutions on Windows Server. Is able to make decisions both tactically and strategically, solve problems and continuously improve teams and product offerings.. Team Management: A clear communicator who is opinionated and able to inspire and motivate colleagues. Can demonstrate examples of good collaboration and stakeholder management within a global context.. Technical Skills: Expertise in Windows Server operating systems, Ansible, Chef, configuration management, Jenkins, GitLab and coding languages (e.g. Ansible, PowerShell, Perl scripting).. Automation and IaC: Experience of working with Git-based repository management systems and automation tooling. Can demonstrate an engineering first mindset and provide examples of automation delivery that improve efficiency and customer value.. Project Management: Oversee the planning, execution, and delivery of Windows server engineering projects, ensuring they are completed on time and within budget.. Experience: Extensive experience in a Windows engineering role, proficiency in operating systems, automation, Ansible and IaC.. Certifications: Relevant certifications in Microsoft technologies, automation, and project management are a plus.. Some Other Highly Valued Skills May Include. Line Management experience, BeyondTrust EPM, Microsoft Clustering, Tanium, Chef, Bitbucket, GitLab and Microsoft Defender for Endpoint (MDE).. You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills.. This role is based in Pune.. Purpose of the role. To apply software engineering techniques, automation, and best practices in incident response, to ensure the reliability, availability, and scalability of the systems, platforms, and technology through them.. Accountabilities. Availability, performance, and scalability of systems and services through proactive monitoring, maintenance, and capacity planning.. Resolution, analysis and response to system outages and disruptions, and implement measures to prevent similar incidents from recurring.. Development of tools and scripts to automate operational processes, reducing manual workload, increasing efficiency, and improving system resilience.. Monitoring and optimisation of system performance and resource usage, identify and address bottlenecks, and implement best practices for performance tuning.. Collaboration with development teams to integrate best practices for reliability, scalability, and performance into the software development lifecycle, and work closely with other teams to ensure smooth and efficient operations.. Stay informed of industry technology trends and innovations, and actively contribute to the organization's technology communities to foster a culture of technical excellence and growth.. Assistant Vice President Expectations. To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions.. Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.. OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.. Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.. Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.. Take ownership for managing risk and strengthening controls in relation to the work done.. Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively.. Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience.. Influence or convince stakeholders to achieve outcomes.. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.. Show more Show less

Flex is the diversified manufacturing partner of choice that helps market-leading brands design, build and deliver innovative products that improve the world. We believe in the power of diversity and inclusion and cultivate a workplace culture of belonging that views uniqueness as a competitive edge and builds a community that enables our people to push the limits of innovation to make great products that create value and improve people's lives. A career at Flex offers the opportunity to make a difference and invest in your growth in a respectful, inclusive, and collaborative environment. If you are excited about a role but don't meet every bullet point, we encourage you to apply and join us to create the extraordinary. To support our extraordinary teams who build great products and contribute to our growth, we’re looking to hire Technical Architect (Azure) - IT who is based out of in Coimbatore location . Reporting to Senior Director & the role involves, What a typical day looks like: Strong Azure / AWS experience with Cloud Architect certification Design, develop and manage robust, secure, scalable, highly available, and dynamic solutions on the cloud. Manage and maintain the cloud infrastructure to ensure optimal performance, availability, and security. Analyze cloud hosting costs and drive initiatives that would lead to cost optimizations Deliver various artifacts as part of the enterprise cloud architecture, including systems/network/infrastructure diagrams, reference implementations, best practices, and roadmaps Expert and knowledgeable on IaaS, PaaS, SaaS models with modern terminology and relevance Strong focus on public cloud-based platforms such as Amazon Web Services (AWS) and Azure Knowledge of private/hybrid cloud-based platforms such as VMware/OpenStack/OpenShift/Open Compute Project is a plus Strong knowledge of multi-cloud architecture with cloud broker is a plus Strong knowledge on cloud governance and best practices Exposure to VMWare or Virtual Server/ Virtual PC would be added value. Expertise on all different Wintel Technologies of Windows, Linux, VMWare and OS related applications. Good Understanding of IP based platforms and addressing, DHCP, DNS, and client/server computing. Knowledge of the core components such as WINS, DNS, IIS, and Clustering, Load Balancing.VMWare: Expert of IAAS\PAAS operation support for Public Cloud environment (AWS\Azure\GPS) Continually analyzes the application using debugging tools, error logs, scripts and backup reports in order to optimize performance. The experience we’re looking to add to our team: Any graduate in computer science or equivalent technical degree. Min 12+ years of industry experience with 5+ years strong Azure/AWS experience with Cloud Architect certification & Managing people and cloud projects. Provide leadership and guidance to the Cloud Services. Development and execute on a long-term cloud technology roadmap based on established business needs and the enterprise technology strategy. Implement cloud based technologies that improve collaboration, efficiency, performance and reliability Provide expertise and consulting across Organizations in the development of cloud initiatives Develop and grow internal technical knowledge and expertise on cloud stack Strong experience in creating large scale enterprise cloud platform (AWS, Azure, GCP). Cloud architect certification is mandatory On-Prem Cloud Knowledge of private/hybrid cloud-based platforms such as VMware/OpenStack/OpenShift/Open Compute Project is a plus Automation - Ansible, Terraform, PowerShell, Linux, Python or any related skills Good understanding of cloud security, Networking and storage What you’ll receive for the great work you provide: Health Insurance Paid Time Off NK99 Site Flex is an Equal Opportunity Employer and employment selection decisions are based on merit, qualifications, and abilities. We celebrate diversity and do not discriminate based on: age, race, religion, color, sex, national origin, marital status, sexual orientation, gender identity, veteran status, disability, pregnancy status, or any other status protected by law. We're happy to provide reasonable accommodations to those with a disability for assistance in the application process. Please email accessibility@flex.com and we'll discuss your specific situation and next steps (NOTE: this email does not accept or consider resumes or applications. This is only for disability assistance. To be considered for a position at Flex, you must complete the application process first).

Overview As Planogram Analyst deliver visually appealing versioned planograms based on store clustering, space definitions and defined flow. Work closely with Category Management and Space teams to ensure planograms meet approved parameters. Conduct planogram quality control ensuring all planograms meet assortment requirements, visual appeal, innovation opportunities and shelving metrics. Continuously identify opportunities and implement processes to improve quality and timeliness of output. Responsibilities Be a single point of contact for category/region by mastering Process and Category knowledge. Partner with Category Manager / KAM’s to building business context and creating effortless partnership Acquire Project management skills to lead multiple projects seamlessly and ensuring timely delivery of projects. Knowledge Sharing: Gain in-depth knowledge of PepsiCo business, categories, products, tools and share new learnings with the team on a continual basis. Ensure accurate and timely delivery of Projects regarding: Deliver visually appealing versioned planograms based on store clustering, space definitions and defined flow Conduct planogram quality control ensuring all planograms meet assortment requirements, visual appeal, innovation opportunities and shelving metrics Ensure timelines are met by tracking project process, coordinating activities, and resolving issues Leverage data to allocate right space for right product. Avoid redundancy in reporting and call out best practices to the team Display a high sense of accountability when completing requests with high visibility or tight turnaround times. Scale-up growth by identifying areas where CI is required, both within existing scope, as well as new areas of opportunity. Create an inclusive and collaborative environment Work in a team environment with focus on achieving team goals vs individual goals Actively learn and apply advanced level of expertise in JDA, Intermediate - MS Excel, all other relevant applications. Work alongside of peers and inculcate best practices and elevate the team's ability to tackle business questions with value adds. Qualifications 4 - 7 years of experience in Space Planning - JDA, Retail or FMCG Experience. Bachelor’s degree. Intermediate level skill in Microsoft Office, with demonstrated intermediate Excel skills necessary Ability to solve problems. Advanced knowledge and experience of space management technology platform JDA Ability to work collaboratively and proactively with multi-functional teams / Stake holders. Best-in-class time management and protization skills. Excellent written and oral communication skills; proactively communicates using appropriate methods for situation and audience in clear, concise and professional manner Strong at data analysis with strong attention to detail Basic project management skills

We are seeking a Lead Data Scientist to join our dynamic team. In this role, you will contribute to the development and implementation of AI solutions for a variety of applications, including statistical analysis and natural language processing. If you are excited about using data to drive meaningful outcomes, we welcome your application. Responsibilities Develop AI solutions such as classification, clustering, and anomaly detection Apply statistical data analysis and machine learning techniques Manage all project stages, from data preparation to model evaluation Utilize Python and SQL for data analysis and manipulation Leverage ML Ops tools and manage model development workflows Build models that are designed for business use Collaborate with teams using software development practices and version control tools Maintain project documentation and tracking systems like Jira Evaluate emerging technologies and apply problem-solving strategies Deliver solutions ready for production and enable cross-team knowledge sharing Requirements 9+ years of experience in software engineering with a focus on Data Science Minimum of 1 year of leadership experience Expertise in statistical data analysis, machine learning, and NLP, with practical knowledge of limitations Background in creating and deploying AI solutions for classification, clustering, anomaly detection, and NLP Competence in overseeing project delivery from data preparation to model evaluation and visualization Proficiency in Python programming and SQL with experience in production-level libraries Familiarity with ML Ops, feature engineering, and model development workflows Capability to manipulate data and deliver models optimized for business usage, including experience with Azure AI Search Background in software development practices, version control systems such as GitLab, and project management tools like Jira Understanding of innovative technologies and ability to deliver production-ready models through creative problem resolution Fluency in using the UNIX command line Knowledge of Agile development practices Strong English communication skills, with B2+ proficiency level Nice to have Understanding of Cloud Computing concepts Knowledge of Big Data tools Familiarity with data visualization platforms Capability to use containerization tools

We are seeking a Lead Data Scientist to join our dynamic team. In this role, you will contribute to the development and implementation of AI solutions for a variety of applications, including statistical analysis and natural language processing. If you are excited about using data to drive meaningful outcomes, we welcome your application. Responsibilities Develop AI solutions such as classification, clustering, and anomaly detection Apply statistical data analysis and machine learning techniques Manage all project stages, from data preparation to model evaluation Utilize Python and SQL for data analysis and manipulation Leverage ML Ops tools and manage model development workflows Build models that are designed for business use Collaborate with teams using software development practices and version control tools Maintain project documentation and tracking systems like Jira Evaluate emerging technologies and apply problem-solving strategies Deliver solutions ready for production and enable cross-team knowledge sharing Requirements 9+ years of experience in software engineering with a focus on Data Science Minimum of 1 year of leadership experience Expertise in statistical data analysis, machine learning, and NLP, with practical knowledge of limitations Background in creating and deploying AI solutions for classification, clustering, anomaly detection, and NLP Competence in overseeing project delivery from data preparation to model evaluation and visualization Proficiency in Python programming and SQL with experience in production-level libraries Familiarity with ML Ops, feature engineering, and model development workflows Capability to manipulate data and deliver models optimized for business usage, including experience with Azure AI Search Background in software development practices, version control systems such as GitLab, and project management tools like Jira Understanding of innovative technologies and ability to deliver production-ready models through creative problem resolution Fluency in using the UNIX command line Knowledge of Agile development practices Strong English communication skills, with B2+ proficiency level Nice to have Understanding of Cloud Computing concepts Knowledge of Big Data tools Familiarity with data visualization platforms Capability to use containerization tools

Role Purpose The Sr Analyst IT Business is responsible for leading business process reviews and provide recommendations to ensure processes, systems and documentation meet changing business conditions and/or requirements. The Sr Analyst IT Business will gather business requirements, perform system and process analysis, design, support testing and prototyping for large cross functional complex projects. Senior IT Analyst will need to lead the design and implementation of automation solutions across business functions, leveraging RPA tools to enhance efficiency and drive stakeholder engagement. Key Accountabilities Collaborate with technology partners to design and deliver automation solutions that leverage RPA, Python, and AI/ML components. Analyze business processes, identify automation opportunities, and create solution architectures that include cognitive and predictive elements. Lead technical design, code reviews, and ensure adherence to automation best practices and enterprise architecture standards. Enhance and optimize existing automations, integrating machine learning models or AI APIs where applicable. Work with AI tools such as OCR engines, language models, and classification/prediction models to build intelligent workflows. Conduct monthly stakeholder meetings to track business demand, pipeline, and discuss potential automation initiatives. Track all work in Rally or equivalent project tracking tool, with regular reporting and documentation. Guide and manage the automation support team, ensuring timely resolution of incidents, root cause analysis, and continuous improvement. Key Skills & Experiences Education – Bachelor's in a relevant field of work or an equivalent combination of education and work related experience. SAFe PO/PM certification preferred SAFe Agilist certification preferred Experience – Strong proficiency in Automation tools and capabilities preferably - BP, UIP, MS PA etc. Advanced Python programming skills, including experience with automation, APIs, and data handling libraries (e.g., pandas, NumPy). Exposure to AI/ML concepts such as model building, classification, regression, clustering, and NLP techniques. Familiarity with machine learning frameworks such is a plus. Experience with intelligent document processing, LLM integration, and cognitive automation is a plus (e.g., chatbots & smart decisioning). Understanding of integration technologies – REST/SOAP APIs, databases, and enterprise platforms. Experience with Microsoft Power Platform tools like Power Apps, Power Automate and Power BI is beneficial. Don't quite meet every single requirement, but still believe you'd be a great fit for the job? We'll never know unless you hit the 'Apply' button. Start your journey with us today.

We are looking for a Senior Data Scientist to join our team, leveraging your expertise in statistical data analysis, machine learning, and NLP to develop impactful AI solutions. As a Senior Data Scientist, you will lead challenging projects requiring full involvement, from data preparation to model deployment, while collaborating with cross-functional teams to deliver production-ready solutions. Responsibilities Design AI solutions, including classification, clustering, anomaly detection, and NLP Apply statistical techniques and machine learning algorithms to address complex challenges Write production-level code in Python and SQL to perform extensive data analysis Introduce model workflows, including ML Ops, and implement feature engineering methods Utilize tools such as Azure AI Search to ensure accessible data and models for stakeholders Work closely with software developers and project managers, using version control systems like GitLab and project tools like Jira Optimize data pipelines and enhance model performance for practical applications Simplify technical concepts and share knowledge with both technical and non-technical audiences Stay informed on new technological advancements and incorporate them into project solutions Adhere to Agile development methodologies and demonstrate fluency with UNIX command line operations Requirements At least 4 years of experience working in Data Science Proficiency in statistical data analysis, machine learning, and NLP Expertise in Python programming and SQL for data analysis and production-level coding Background in creating AI solutions involving classification, clustering, anomaly detection, or NLP Familiarity with ML Ops and feature engineering, supported by hands-on experience with model design Flexibility to utilize tools like Azure AI Search to integrate models into business processes Competency in software development practices and code versioning tools, such as GitLab Knowledge of project management platforms like Jira and Agile methodologies Understanding of UNIX command line operations and a problem-solving mindset for leveraging cutting-edge technologies B2 English proficiency or higher, emphasizing strong technical communication skills Nice to have Understanding of Cloud Computing, Big Data tools, and containerization platforms Skills in using data visualization tools to effectively present findings

We are looking for a Senior Data Scientist to join our team, leveraging your expertise in statistical data analysis, machine learning, and NLP to develop impactful AI solutions. As a Senior Data Scientist, you will lead challenging projects requiring full involvement, from data preparation to model deployment, while collaborating with cross-functional teams to deliver production-ready solutions. Responsibilities Design AI solutions, including classification, clustering, anomaly detection, and NLP Apply statistical techniques and machine learning algorithms to address complex challenges Write production-level code in Python and SQL to perform extensive data analysis Introduce model workflows, including ML Ops, and implement feature engineering methods Utilize tools such as Azure AI Search to ensure accessible data and models for stakeholders Work closely with software developers and project managers, using version control systems like GitLab and project tools like Jira Optimize data pipelines and enhance model performance for practical applications Simplify technical concepts and share knowledge with both technical and non-technical audiences Stay informed on new technological advancements and incorporate them into project solutions Adhere to Agile development methodologies and demonstrate fluency with UNIX command line operations Requirements At least 4 years of experience working in Data Science Proficiency in statistical data analysis, machine learning, and NLP Expertise in Python programming and SQL for data analysis and production-level coding Background in creating AI solutions involving classification, clustering, anomaly detection, or NLP Familiarity with ML Ops and feature engineering, supported by hands-on experience with model design Flexibility to utilize tools like Azure AI Search to integrate models into business processes Competency in software development practices and code versioning tools, such as GitLab Knowledge of project management platforms like Jira and Agile methodologies Understanding of UNIX command line operations and a problem-solving mindset for leveraging cutting-edge technologies B2 English proficiency or higher, emphasizing strong technical communication skills Nice to have Understanding of Cloud Computing, Big Data tools, and containerization platforms Skills in using data visualization tools to effectively present findings

Dear Candidate, Greetings from TCS !!! TCS is hiring for Data Scientist, please find the below JD.. Experience range – 6 to 8 years Location - Pan india Skills Required - Python, PySpark , MLflow , Databricks AutoML Predictive Modelling ( Classification , Clustering , Regression , timeseries and NLP) Cloud platform (Azure/AWS) , Delta Lake , Unity Catalog Role& Responsibilities – Design and deploy predictive models (e.g., forecasting, churn analysis, fraud detection) using Python/SQL, Spark MLlib, and Databricks ML Build end-to-end ML pipelines (data ingestion → feature engineering → model training → deployment) on Databricks Lakehouse Optimize model performance via hyperparameter tuning, AutoML, and MLflow tracking Collaborate with engineering teams to operationalize models (batch/real-time) using Databricks Jobs or REST APIs Implement Delta Lake for scalable, ACID-compliant data workflows. Enable CI/CD for ML pipelines using Databricks Repos and GitHub Actions Troubleshoot issues in Spark Jobs and Databricks Environment.

Who are we and what do we do? InMobi Group’s mission is to power intelligent, mobile-first experiences for enterprises and consumers. Its businesses across advertising, marketing, data and content platforms are shaping consumer experience in a world of connected devices. InMobi Group has been recognized on both the 2018 and 2019 CNBC Disruptor 50 list and as one of Fast Company’s 2018 World’s Most Innovative Companies. Consistently featured among the “Great Places to Work” in India since 2017, our culture is our true north, enabling us to think big, solve complex challenges and grow with new opportunities. InMobians are passionate and driven, creative and fun-loving, take ownership and are outcome-driven. We invite you to join our tribe as we dream big and chase your passion. About AI Engineering Director - Enterprise Digital & AI transformation across Inmobi is underway for - unlocking productivity & realizing efficiencies across the business, streamlining critical process flows and integrating cross-system architecture to achieve a lean and agile organizational set up. This involves a strong understanding of the company’s underlying business, system and process challenges, translating them into long term sustainable solutions that are applicable across InMobi’s expanding business units. This team works across a spectrum of enterprise systems and products building end-to-end features and capabilities that help establish a fully integrated blueprint of the company’s data architecture and system landscape. The Enterprise systems span the end-to-end value chain covering Lead generation, Sales & CRM, Order fulfilment, Service, Financial systems, BI Dashboards and NLP based Analytics. Reporting to the Chief Digital Officer , this person will lead a team of engineers and collaborate deeply with Product managers, Designers and other Engineering teams, to build AI solutions grounded in consistent architectures and incorporates ongoing advancements. These AI solutions will help in Sales & Marketing transformation, Finance transformation, Service & Operational processes transformation. Are you interested in shaping the era of AI, especially in an Enterprise context and scale? This role requires curiosity to understand the quickly growing AI landscape, continuous disruptive changes, knowledge in modern coding languages, different platforms (esp GCP/ Azure/ Salesforce), Machine Learning and LLMs. As the Enterprise AI Engineering Leader, you are the face of the Enterprise AI engineering team, representing their work, and unblocking the team when problems arise. You manage a highly skilled team and help in the growth of their careers. You drive action and alignment by cultivating relationships with senior management and partnerships with product management and design leaders. You bring a deep understanding and expertise in digital transformation opportunities across AI, supported by thought leadership in technologies such as Generative AI, Advanced Analytics and App Modernization. What you’ll do: Partner with the Enterprise Product team and all concerned stakeholders to understand business needs and translate them into technical requirements and solutions. Lead the development, deployment, and optimization of AI (GenAI) Solutions, Tools, frameworks in the Enterprise space for core business process areas. In this role, you will work closely with cross-functional teams, bringing technical expertise and hands-on problem-solving to ensure the successful delivery of AI solutions that support our business objectives (in the broad process areas described earlier) Support POCs/ Pilots projects to explore and validate the ever-evolving AI technologies and solutions. Stay updated regarding LLMs, MCP, A2A, ADK, Agentic AI landscape and the fast- changing AI technology & solution landscape - ensuring the innovations drive impact. Participating in the full AI development lifecycle, including data preparation, design, coding, testing, deployment, and support. Continuously assess and optimize software architecture, focusing on scalability, reliability, and alignment with emerging trends. Document designs, development processes, and best practices to promote knowledge sharing. Mentor and enable career growth for your team. Support upskilling and re-skilling of other Engineering team members + business users. What you are good at Supporting the development/ adoption/ optimization of AI-driven applications to meet organizational needs. Solving technical challenges and developing scalable, innovative solutions. Applying Change Management principles to ensure successful technology rollouts. Proactively identifying and implementing automation/ AI capabilities – in an Enterprise setup. Collaborating effectively with diverse stakeholders, including technical teams and business leaders. Adapting to fast-paced environments and evolving priorities with high energy and autonomy. Leveraging expertise in (Gen) AI solutions, Technologies & frameworks as listed above and enabling underlying system Integrations/ Infrastructure to deliver impactful solutions. Demonstrate strong problem-solving and analytical skills. Excellent documentation and presentation skills for technical and non-technical audiences. What You'll Bring A bachelor’s degree in Computer Science, Engineering, or a related field. Advanced degrees in AI and Data Science are a plus. 10 - 12 years of professional experience in Engineering/ Software development with increasing responsibility. At least 4 – 5 years proven experience in implementing AI-driven applications. Experience in developing and deploying machine learning models and AI solutions. At least a few of the following : Statistics and Probability Theory, Regression Modelling, Clustering Methods, Deep Learning, Neural Networks, Natural Language Processing, Text Mining, Computer Vision, Image Recognition, Time Series Forecasting, Machine Learning Visualization Tools, Tree Ensembles Proficiency in programming languages like Python, R, or Java. Familiarity with AI and machine learning frameworks (e.g., TensorFlow, PyTorch). Experience on big data technologies and tools (e.g., Hadoop, Spark). At least 2 years in Gen AI/ LLM based solutions. GCP/ Azure/ Salesforce / other platforms - Data and AI services, Data Engineering, Analytics, Machine Learning, Cognitive Services; Cognitive Search and exposure to OpenAI solutions. Previous experience building a user-facing (Gen)AI/ LLM software applications Knowledge of LLMs, RAG/Agentic - Architecture, core concepts and fundamentals Knowledge of evolving protocols like MCP/ A2A/ ADK and others. Strong technical proficiency in both frontend and backend development (e.g., React, Python, Java, Typescript). Experience with design engineering, customer workshops, defining clear problem statements. Demonstrated ability to work with complex datasets and perform data preprocessing and analysis. Expertise needed in other areas - Experience with code repositories including but not limited: Azure DevOps; GitHub as well as understanding of branching and tagging strategies; understanding of Continuous Integration/Continuous Deployment (CI/CD) pipelines. Experience with cloud technologies and infrastructure as code (e.g., AWS, Kubernetes, Terraform). Familiarity with software design patterns, architecture trade-offs, and integration best practices. Knowledge of DevOps practices, CI/CD pipelines, and automated testing frameworks. Experience with database management and data processing.

JOB DESCRIPTION Data Science: Associate Consultant Experience : 2.5+ years Requirement : Bachelor’s Degree in technical or quantitative field from an accredited college or university (Masters or PhD in Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields is preferred) with 2.5+ years of relevant experience in Machine Learning, Statistics. Strong mathematical background with ability to understand algorithms and methods from a mathematical viewpoint and an intuitive viewpoint. Must Have Skills And Experience Excellent communication skill and should be able to frame problem statement into analytical approaches Strong in exploratory data analyses, generate and test working hypotheses, prepare and analyze historical data and identify patterns. Strong programming experience in Python, SQL Should have experience of working with open-source packages & commercial/enterprise applications. Excellent in machine learning, statistical methods, such as regression, classification, clustering, ensemble & tree-based models, time-series analysis with hands on experience on some of them. Familiarity with NLP concepts. Exposure on Generative AI and retriever augmented generation use cases RESPONSIBILITIES Data Science: Associate Consultant Experience : 2.5+ years QUALIFICATIONS Data Science: Associate Consultant Experience : 2.5+ years Must Have Skills And Experience Excellent communication skill and should be able to frame problem statement into analytical approaches Strong in exploratory data analyses, generate and test working hypotheses, prepare and analyze historical data and identify patterns. Strong programming experience in Python, SQL Should have experience of working with open-source packages & commercial/enterprise applications. Excellent in machine learning, statistical methods, such as regression, classification, clustering, ensemble & tree-based models, time-series analysis with hands on experience on some of them. Familiarity with NLP concepts. Exposure on Generative AI and retriever augmented generation use cases #KGS

Job Title - + + Management Level: Location: Kochi, Coimbatore, Trivandrum Must have skills: Big Data, Python or R Good to have skills: Scala, SQL Job Summary A Data Scientist is expected to be hands-on to deliver end to end vis a vis projects undertaken in the Analytics space. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. Responsibilities Roles and Responsibilities Identify valuable data sources and collection processes Supervise preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns for insurance industry. Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Collaborate with engineering and product development teams Hands-on knowledge of implementing various AI algorithms and best-fit scenarios Has worked on Generative AI based implementations Professional And Technical Skills 3.5-5 years’ experience in Analytics systems/program delivery; at least 2 Big Data or Advanced Analytics project implementation experience Experience using statistical computer languages (R, Python, SQL, Pyspark, etc.) to manipulate data and draw insights from large data sets; familiarity with Scala, Java or C++ Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications Hands on experience in Azure/AWS analytics platform (3+ years) Experience using variations of Databricks or similar analytical applications in AWS/Azure Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop) Strong mathematical skills (e.g. statistics, algebra) Excellent communication and presentation skills Deploying data pipelines in production based on Continuous Delivery practices. Additional Information Multi Industry domain experience Expert in Python, Scala, SQL Knowledge of Tableau/Power BI or similar self-service visualization tools Interpersonal and Team skills should be top notch Nice to have leadership experience in the past About Our Company | Accenture Experience: 3.5 -5 years of experience is required Educational Qualification: Graduation (Accurate educational details should capture)

Senior Gen AI Engineer Job Description Brightly Software is seeking an experienced candidate to join our Product team in the role of Gen AI engineer to drive best in class client-facing AI features by creating and delivering insights that advise client decisions tomorrow. As a Gen AI Engineer, you will play a critical role in building AI offerings for Brightly. You will partner with our various software Product teams to drive client facing insights to inform smarter decisions faster. This will include the following: Lead the evaluation and selection of foundation models and vector databases based on performance and business needs Design and implement applications powered by generative AI (e.g., LLMs, diffusion models), delivering contextual and actionable insights for clients. Establish best practices and documentation for prompt engineering, model fine-tuning, and evaluation to support cross-domain generative AI use cases. Build, test, and deploy generative AI applications using standard tools and frameworks for model inference, embeddings, vector stores, and orchestration pipelines. Key Responsibilities: Guide the design of multi-step RAG, agentic, or tool-augmented workflows Implement governance, safety layers, and responsible AI practices (e.g., guardrails, moderation, auditability) Mentor junior engineers and review GenAI design and implementation plans Drive experimentation, benchmarking, and continuous improvement of GenAI capabilities Collaborate with leadership to align GenAI initiatives with product and business strategy Build and optimize Retrieval-Augmented Generation (RAG) pipelines using vector stores like Pinecone, FAISS, or AWS Opensearch Perform exploratory data analysis (EDA), data cleaning, and feature engineering to prepare data for model building. Design, develop, train, and evaluate machine learning models (e.g., classification, regression, clustering, natural language processing) with strong exerience in predictive and stastical modelling. Implement and deploy machine learning models into production using AWS services, with a strong focus on Amazon SageMaker (e.g., SageMaker Studio, training jobs, inference endpoints, SageMaker Pipelines). Understanding and development of state management workflows using Langraph. Develop GenAI applications using Hugging Face Transformers, LangChain, and Llama related frameworks Engineer and evaluate prompts, including prompt chaining and output quality assessment Apply NLP and transformer model expertise to solve language tasks Deploy GenAI models to cloud platforms (preferably AWS) using Docker and Kubernetes Monitor and optimize model and pipeline performance for scalability and efficiency Communicate techn