27201 Ml Jobs - Page 19

SG Analytics , which is now a part of Straive - brings deep expertise across BFSI, Capital Markets, Technology & Media, Manufacturing, Healthcare sectors, including Fortune 500 companies with strong capabilities in ESG Consulting, Investment Banking, Industry & Market Research, Valuation, Market Intelligence, Data Engineering, Data Governance & Management, Data Science, AI/ML, Data Analytics. SG Analytics has a footprint across U.S.A, U.K, Switzerland, Poland & India – Pune, Gurugram, Bangalore & Hyderabad and provides high-caliber support and operating leverage to over 200+ clients across geographies and asset classes, including asset managers, advisors, corporates, and entrepreneurs. Recognized by Gartner, Everest Group, ISG, and featured in the Deloitte Technology Fast 50 India 2024 and Financial Times & Statista APAC 2025 High Growth Companies. About the Department: Investment Insights is one of the vital service lines offered by SG analytics to its clients, providing Modelling and Financial Analysis, Research, Due Diligence, Valuation, Portfolio Management, Deal Advisory, Deal Sourcing, and Marketing and Communications. SGA’s team of seasoned investment analysts are the extension of the client's team and further supported by additional value-added functions. They serve various clients across Private Equity, Boutique Investment Banks, and other Corporates, Wealth Management Firms, Portfolio companies, etc. Roles & Responsibilities: Analysing company reporting documents to create pitchbooks, company profiles, information memorandums, sector reports, industry reports, financial benchmarking and trading and transaction comps Identifying potential targets/buyers for M&A deals Managing end to end deal life cycle Working on Financial Models, DCF, LBO, and Football field analysis Performing secondary research through the web and available databases to prepare investment decks Interacting with the client for project coordination Be responsible for quality check and client deliverable Required Skillset: 2-8 years of experience in Private Equity/Investment Banking End to end knowledge of PE/IB deal and key products Deep understanding of all investment banking products and requirements Experience in preparing pitch books, profiles, screening for targets/ buyers, sector reports, trading and transaction comps, as well as investment memorandums Proficiency in financial modelling, including detailed 3 statement forecasting, multiple scenario analysis, DCF valuation, capital structure modelling, LBO and merger modelling Strong in working on unstructured and open-ended requests Prior experience of working and communicating with clients and various stakeholders Knowledge of databases such as Bloomberg, CapIQ, Pitchbook, Reuters, FactSet, and Merger market Excellent in MS PowerPoint and MS Excel Prerequisites: Firm grasp of various aspects of finance and analytical ability Prior experience across buy/sell side Prior client facing experience is preferred Experience of working with various asset classes Strong eye for detail and ability to multi-task Ability to work demanding hours and meet client-driven deadlines (demanding hours require time management skills) Job Location: Pune, Bangalore, Hyderabad, Remote

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Position Name ML Developer Taleo ID Position Level Staff Employment Type Permanent Number of Openings 1 Work Location Kochi, Chennai , Noida , Bangalore , Pune , Kolkata , TVM Position Details As part of EY GDS Assurance Digital, you will be responsible for leveraging advanced machine learning techniques to develop innovative, high-impact models and solutions that drive growth and deliver significant business value. You will be helping EY’s sector and service line professionals by developing analytics enabled solutions, integrating data science activities with business relevant aspects to gain insight from data. This is a full-time Machine Learning Developer role, responsible for building and deploying robust machine learning models to solve real-world business problems. You will be working on the entire ML lifecycle, including data analysis, feature engineering, model training, evaluation, and deployment. Requirements (including Experience, Skills And Additional Qualifications) A bachelor’s degree (BE/BTech/MCA & MBA) in Computer Science, Engineering, Information Systems Management, Accounting, Finance or a related field with adequate industry experience. Technical Skills Requirements Develop and implement machine learning models, including regression, classification (e.g., XGBoost, Random Forest), and clustering techniques. Conduct exploratory data analysis (EDA) to uncover insights and trends within data sets. Apply dimension reduction techniques to improve model performance and interpretability. Utilize statistical models to design and implement effective business solutions. Evaluate and validate models to ensure robustness and reliability. Should have solid background in Python Familiarity with Time Series Forecasting. Basic experience with cloud platforms such as AWS, Azure, or GCP. Exposure to ML Ops tools and practices (e.g., MLflow, Airflow, Docker) is a plus Additional skill requirements: Proficient at quickly understanding complex machine learning concepts and utilizing technology for tasks such as data modeling, analysis, visualization, and process automation. Skilled in selecting and applying the most suitable standards, methods, tools, and frameworks for specific ML tasks and use cases. Capable of collaborating effectively within cross-functional teams, while also being able to work independently on complex ML projects. Demonstrates a strong analytical mindset and systematic approach to solving machine learning challenges. Excellent communication skills, able to present complex technical concepts clearly to both technical and non-technical audiences. What we look for A Team of people with commercial acumen, technical experience, and enthusiasm to learn new things in this fast-moving environment. An opportunity to be a part of market-leading, multi-disciplinary team of 7200 + professionals, in the only integrated global assurance business worldwide. Opportunities to work with EY GDS Assurance practices globally with leading businesses across a range of industries What working at EY offers At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you About EY As a global leader in assurance, tax, transaction, and advisory services, we’re using the finance products, expertise, and systems we’ve developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities, and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we’ll make our ambition to be the best employer by 2020 a reality. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible. Join us in building a better working world. Apply now EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Join Delphi - Where Innovation meets transformation At Delphi, we believe in creating an environment where our people thrive. Our hybrid work model empowers you to choose where you work—whether it's from the office, your home, or a mix of both—so you can prioritize what matters most. We are committed to supporting your personal goals, family, and overall well-being while driving transformative results for our clients. We welcome exceptional talent from anywhere across the globe. Interviews and onboarding are conducted virtually, reflecting our digital-first mindset. Rooted in the region, we specialize in delivering tailored, impactful solutions in Data, Advanced Analytics and AI, Infrastructure, Cloud Security, and Application Modernization. Whether it’s enabling predictive analytics , transforming operations with automation, or driving customer engagement with intelligent platforms, we are the trusted partner for organizations ready to embrace a smarter, more efficient future. About The Role Delphi is looking for a new strategic and execution-focused Business Head to lead our AI product development. This person will own the growth, profitability, and roadmap of our new AI offering. This role combines product leadership, go-to-market strategy, customer success, and cross-functional team management. You will serve as the P&L owner and be responsible for driving customer value, retention, and revenue expansion. Job Responsibilities Define and execute the business strategy for AI in alignment with company goals Lead go-to-market efforts and oversee product positioning and pricing, including lean experimentation Collaborate with Sales, Marketing, and Customer Success to penetrate and understand the market deliver a strong product Run Demos with clients and AI forums to get feedback on product enhancement/changes and roadmap Create market interest and buyer and partner ecosystem through commercialization tactics Work closely with product development team , including designers, BAs, dev leads, QA leads Own the full P&L, including budgeting, forecasting, and performance tracking Drive adoption, user engagement, and retention through data-informed decisions Build relationships with accelerators and VCs in the field of AI and attract additional funding through storytelling, pitching and ROI narrative-building Job requirements 10+ years in product growth, B2B SaaS sales, GTM, or startup leadership Proven track record of monetizing early-stage products Experience with AI/ML solutions, data platforms, or workflow automation tools Exposure to early-stage startup or scale-up environments Strong understanding of AI product value propositions and ROI Familiarity with AI/ML ecosystems, marketplaces, and VC networks Hands-on with outbound sales, GTM execution, investor pitching Lean operator — fast executor, resourceful, and deeply outcome-driven Excellent storytelling and strong communication skills Bonus Points Experience listing products on Azure/AWS/GCP Marketplace, Product Hunt, etc. Exposure to fundraising (Seed or Series A stage) Working familiarity with GenAI, LLMs, or AI product stacks What we offer At Delphi, we are dedicated to creating an environment where you can thrive, both professionally and personally. Our competitive compensation package, performance-based incentives, and health benefits are designed to ensure you're well-supported. We believe in your continuous growth and offer company-sponsored certifications, training programs , and skill-building opportunities to help you succeed. We foster a culture of inclusivity and support, with remote work options and a fully supported work-from-home setup to ensure your comfort and productivity. Our positive and inclusive culture includes team activities, wellness and mental health programs to ensure you feel supported.

About Us: Headquartered in Sunnyvale, with offices in Dallas & Hyderabad, Fission Labs is a leading software development company, specializing in crafting flexible, agile, and scalable solutions that propel businesses forward. With a comprehensive range of services, including product development, cloud engineering, big data analytics, QA, DevOps consulting, and AI/ML solutions, we empower clients to achieve sustainable digital transformation that aligns seamlessly with their business goals. Fission Labs Website: https://www.fissionlabs.com/ Work Location: Hyderabad Notice Period: Immediate to 30 Days Role Overview: Omada is on a mission to build next-gen intelligent systems that integrate real-time APIs, cloud-native infrastructure, and external AI capabilities. We’re looking for a skilled Python Engineer with deep knowledge of FastAPI, AWS, and practical experience working with GenAI APIs and data pipelines. Key Responsibilities Backend & API Development ● Design, develop, and maintain robust REST APIs using FastAPI and Python. ● Build scalable microservices integrated with AWS services: Lambda, EC2, EKS, API Gateway, DynamoDB, S3. ● Implement workflow automation and event-driven pipelines using tools like Step Functions, SQS, SNS. ● Build real-time and streaming APIs using WebSockets or Kinesis where required. ● Integrate with external GenAI APIs like: 1. OpenAI (ChatGPT APIs) 2. Google Gemini APIs 3. Other third-party AI/ML APIs or services ● Design and implement web crawlers or integrate with crawling frameworks/tools to extract and process structured/unstructured data. Required Skills ● 7-9 years of backend development experience with strong skills in Python. ● Production-level experience using FastAPI. ● Strong expertise in AWS services, especially: ● Lambda, EC2, EKS, API Gateway, Step Functions, DynamoDB, S3, SNS/SQS ● Hands-on experience calling and handling responses from: 1. ChatGPT APIs (OpenAI) 2. Google Gemini APIs ● Familiarity with writing or integrating web crawlers (e.g., BeautifulSoup, Playwright, Scrapy). ● Experience with Git and GitHub, including branching strategies, pull requests, and code reviews. ● Comfortable working independently in a fast-paced startup environment. ● Previous work experience on Chat Agents Preferred Qualifications ● Bachelor’s degree in Computer Science, Engineering, or a related field. ● Familiarity with NoSQL and relational databases (DynamoDB, PostgreSQL, etc.). ● Experience in CI/CD workflows, Docker, and Kubernetes. ● Bonus: Exposure to distributed data processing frameworks like Apache Beam or Spark. ● Bonus: Prior experience integrating with external data and media APIs. Why Join Omada ● Build API-first systems integrated with the latest AI and cloud technologies. ● Help shape scalable, real-time backend architecture in a greenfield product. ● Work with a modern Python + AWS + GenAI stack.

About the Role: Vrize is seeking a highly experienced, hands-on Senior Full Stack Architect to join our team for a strategic engagement in the financial services and pawn lending domain. This is a critical technical leadership role , requiring end-to-end architectural and coding expertise across modern web, mobile, and cloud-native technologies. The ideal candidate will bring deep technical acumen, the ability to work across the stack, and experience with AI tool integration , while also being passionate about clean code, scalable architecture, and mentoring teams. Key Responsibilities: Architect and design scalable, maintainable, and high-performance applications across front-end, back-end, and cloud infrastructure. Provide technical leadership and mentorship to development teams. Work closely with product owners, business analysts, and client stakeholders to convert business requirements into technical solutions. Define coding standards, conduct code reviews, and enforce best practices across the stack. Take ownership of CI/CD pipelines using Azure DevOps. Build and maintain modern UI/UX interfaces using Angular 14+ , React , and potentially Flutter or React Native . Develop robust backend services using Java , Spring Boot , Node.js , and SQL . Integrate AI/ML tools where applicable for analytics, automation, or intelligent features. Ensure security, performance, and scalability in cloud-hosted (Azure) environments. Contribute to mobile app architecture if leveraging Kotlin or cross-platform tools. Must-Have Skills: 10+ years of hands-on experience in full-stack development. Strong expertise in: Java , Spring Boot SQL Node.js Angular 14+ , React Azure DevOps (CI/CD, pipelines, environments) Proven experience in architecting and deploying enterprise-grade applications. Experience working with Agile methodologies and DevOps practices. Preferred Skills: Experience with: Flutter / React Native (cross-platform mobile development) Kotlin (native Android) Exposure to AI/ML tools or integration with AI-powered platforms. Domain experience in financial services , retail finance , or pawn lending. Soft Skills & Traits: Strong problem-solving and analytical skills. Ability to lead by example—very hands-on and technically credible. Excellent communication and interpersonal skills. Passion for continuous learning and staying updated with new tech. About VRIZE INC VRIZE is a Global Digital & Data Engineering company, committed to delivering end-to-end Digital solutions and services to its customers worldwide. We offer business-friendly solutions across industry verticals that include Banking, Financial Services, Healthcare & Insurance, Manufacturing, and Retail. The company has strategic business alliances with industry leaders such as Adobe, IBM Sterling Commerce, IBM, Microsoft, Docker, Sisense, Competera, Snowflake, and Tableau. VRIZE is headquartered out of Tampa (Florida) with a team size of 410 employees globally, currently, 100% of the clients undertaken are in the United States. Delivery centers are distributed in the US, Canada, Serbia, and India. Having stellar growth and future projections of 100% YOY for the last 3 years, the company has been successfully addressing its clients’ digital disruption needs. Our continued success depends to a large extent on our ability to remain at the forefront of disruptive developments in the field of information technology and leaders/team members joining the force are expected to replicate the same. VRIZE is an equal-opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, marital status, age, national origin, ancestry, disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. Individuals with disabilities are provided reasonable accommodation.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Position Name ML Developer Taleo ID Position Level Staff Employment Type Permanent Number of Openings 1 Work Location Kochi, Chennai , Noida , Bangalore , Pune , Kolkata , TVM Position Details As part of EY GDS Assurance Digital, you will be responsible for leveraging advanced machine learning techniques to develop innovative, high-impact models and solutions that drive growth and deliver significant business value. You will be helping EY’s sector and service line professionals by developing analytics enabled solutions, integrating data science activities with business relevant aspects to gain insight from data. This is a full-time Machine Learning Developer role, responsible for building and deploying robust machine learning models to solve real-world business problems. You will be working on the entire ML lifecycle, including data analysis, feature engineering, model training, evaluation, and deployment. Requirements (including Experience, Skills And Additional Qualifications) A bachelor’s degree (BE/BTech/MCA & MBA) in Computer Science, Engineering, Information Systems Management, Accounting, Finance or a related field with adequate industry experience. Technical Skills Requirements Develop and implement machine learning models, including regression, classification (e.g., XGBoost, Random Forest), and clustering techniques. Conduct exploratory data analysis (EDA) to uncover insights and trends within data sets. Apply dimension reduction techniques to improve model performance and interpretability. Utilize statistical models to design and implement effective business solutions. Evaluate and validate models to ensure robustness and reliability. Should have solid background in Python Familiarity with Time Series Forecasting. Basic experience with cloud platforms such as AWS, Azure, or GCP. Exposure to ML Ops tools and practices (e.g., MLflow, Airflow, Docker) is a plus Additional skill requirements: Proficient at quickly understanding complex machine learning concepts and utilizing technology for tasks such as data modeling, analysis, visualization, and process automation. Skilled in selecting and applying the most suitable standards, methods, tools, and frameworks for specific ML tasks and use cases. Capable of collaborating effectively within cross-functional teams, while also being able to work independently on complex ML projects. Demonstrates a strong analytical mindset and systematic approach to solving machine learning challenges. Excellent communication skills, able to present complex technical concepts clearly to both technical and non-technical audiences. What we look for A Team of people with commercial acumen, technical experience, and enthusiasm to learn new things in this fast-moving environment. An opportunity to be a part of market-leading, multi-disciplinary team of 7200 + professionals, in the only integrated global assurance business worldwide. Opportunities to work with EY GDS Assurance practices globally with leading businesses across a range of industries What working at EY offers At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you About EY As a global leader in assurance, tax, transaction, and advisory services, we’re using the finance products, expertise, and systems we’ve developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities, and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we’ll make our ambition to be the best employer by 2020 a reality. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible. Join us in building a better working world. Apply now EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

About VOIS VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value and enhancing quality and efficiency across 28 countries, and operating from 7 locations: Albania, Egypt, Hungary, India, Romania, Spain and the UK. Over 29,000 highly skilled individuals are dedicated to being Vodafone Group’s partner of choice for talent, technology, and transformation. We deliver the best services across IT, Business Intelligence Services, Customer Operations, Business Operations, HR, Finance, Supply Chain, HR Operations, and many more. Established in 2006, VOIS has evolved into a global, multi-functional organization, a Centre of Excellence for Intelligent Solutions focused on adding value and delivering business outcomes for Vodafone. VOIS India In 2009, VOIS started operating in India and now has established global delivery centers in Pune, Bangalore and Ahmedabad. With more than 14,500 employees, VOIS India supports global markets and group functions of Vodafone and delivers best-in-class customer experience through multi-functional services in the areas of Information Technology, Networks, Business Intelligence and Analytics, Digital Business Solutions (Robotics & AI), Commercial Operations (Consumer & Business), Intelligent Operations, Finance Operations, Supply Chain Operations and HR Operations and more. Role Purpose Mode : Hybrid Location : Pune Experience : 5 to 8 years Core Competencies, Knowledge And Experience 5-7 years’ experience in managing large data sets, simulation/ optimization and distributed computing tools. Excellent communication & presentation skills with track record of engaging with business project leads. Role Purpose Primary responsibility is to define data lifecycle, including data models and data sources for analytics platform, gathering data from business and cleaning them in order to provide ready-to-work inputs for Data Scientists Apply strong expertise in in automating end to end data science pipelines & big data pipelines (Collect, ingest, store , transform and optimize scale) The incumbent will work on the assigned projects & it's stakeholder alongside Data Scientists to understand the business challenges faced by them. The work involves working with large data sets, simulation/ optimization and distributed computing tools. The candidate works with the assigned business stakeholder(s) to agree scope, deliverables, process and expected outcomes from the products and services developed. Must Have Technical / Professional Qualifications Experience working with large data sets, simulation/ optimization and distributed computing tools Experience in transformation data with Apache spark for Data Science activities Experience in working with distributed storage on cloud (AWS/GCP) or HDFS Experience in building data pipelines with Airflow Experience in ingesting data from different sources using Kafka/Sqoop/Flume/ Nifi Experience in solving simple to complex big data platform/framework issues Experience in building real time analytics system with Apache Spark, Flink & Kafka Experience in Scala, Python, Java & R Experience in working with NoSQL databases (Cassandra, Mongo DB, HBase, Redis) Key Accountabilities And Decision Ownership Understand the data science problems and design & schedule end to end pipelines For the given problem identify the right big data technologies to solve the problem in an optimized way Automate the data science pipelines, deploy ML algorithms and track the performance Build customer 360, feature store for different machine learning problems Build data model for machine learning feature store on high velocity, flexible schema databases VOIS Equal Opportunity Employer Commitment VOIS is proud to be an Equal Employment Opportunity Employer. We celebrate differences and we welcome and value diverse people and insights. We believe that being authentically human and inclusive powers our employees’ growth and enables them to create a positive impact on themselves and society. We do not discriminate based on age, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, national origin, race, religion, sexual orientation, status as an individual with a disability, or other applicable legally protected characteristics. As a result of living and breathing our commitment, our employees have helped us get certified as a Great Place to Work in India for four years running. We have been also highlighted among the Top 5 Best Workplaces for Diversity, Equity, and Inclusion, Top 10 Best Workplaces for Women, Top 25 Best Workplaces in IT & IT-BPM and 14th Overall Best Workplaces in India by the Great Place to Work Institute in 2023. These achievements position us among a select group of trustworthy and high-performing companies which put their employees at the heart of everything they do. By joining us, you are part of our commitment. We look forward to welcoming you into our family which represents a variety of cultures, backgrounds, perspectives, and skills! Apply now, and we’ll be in touch!

Description Data Scientist Requirements Full-stack AI Engineer Must Have: Programming language – Python, Java/Scala Must have : Experience with data processing libraries like Pandas, NumPy, and Scikit-learn Must have : Proficient in distributed computing platform Apache Spark (PySpark, Scala), Torch etc. Must have: Proficiency in API development with Fast API, Spring boot, Understanding of O&M – logging, monitoring, fault management, security etc Good-to-have : Handson experience with deployment & orchestration tools – Docker, Kubernetes, Helm Good-to-have : Experience with cloud platforms (AWS -Sagemaker/ Bedrock, GCP, or Azure) Good-to-have : Strong programming skills in TensorFlow, PyTorch, or similar ML frameworks (training and deployment) Job responsibilities Full-stack AI Engineer Must Have: Programming language – Python, Java/Scala Must have : Experience with data processing libraries like Pandas, NumPy, and Scikit-learn Must have : Proficient in distributed computing platform Apache Spark (PySpark, Scala), Torch etc. Must have: Proficiency in API development with Fast API, Spring boot, Understanding of O&M – logging, monitoring, fault management, security etc Good-to-have : Handson experience with deployment & orchestration tools – Docker, Kubernetes, Helm Good-to-have : Experience with cloud platforms (AWS -Sagemaker/ Bedrock, GCP, or Azure) Good-to-have : Strong programming skills in TensorFlow, PyTorch, or similar ML frameworks (training and deployment) What we offer Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally. Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today. Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way! High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do. About GlobalLogic GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Position Name ML Developer Taleo ID Position Level Staff Employment Type Permanent Number of Openings 1 Work Location Kochi, Chennai , Noida , Bangalore , Pune , Kolkata , TVM Position Details As part of EY GDS Assurance Digital, you will be responsible for leveraging advanced machine learning techniques to develop innovative, high-impact models and solutions that drive growth and deliver significant business value. You will be helping EY’s sector and service line professionals by developing analytics enabled solutions, integrating data science activities with business relevant aspects to gain insight from data. This is a full-time Machine Learning Developer role, responsible for building and deploying robust machine learning models to solve real-world business problems. You will be working on the entire ML lifecycle, including data analysis, feature engineering, model training, evaluation, and deployment. Requirements (including Experience, Skills And Additional Qualifications) A bachelor’s degree (BE/BTech/MCA & MBA) in Computer Science, Engineering, Information Systems Management, Accounting, Finance or a related field with adequate industry experience. Technical Skills Requirements Develop and implement machine learning models, including regression, classification (e.g., XGBoost, Random Forest), and clustering techniques. Conduct exploratory data analysis (EDA) to uncover insights and trends within data sets. Apply dimension reduction techniques to improve model performance and interpretability. Utilize statistical models to design and implement effective business solutions. Evaluate and validate models to ensure robustness and reliability. Should have solid background in Python Familiarity with Time Series Forecasting. Basic experience with cloud platforms such as AWS, Azure, or GCP. Exposure to ML Ops tools and practices (e.g., MLflow, Airflow, Docker) is a plus Additional skill requirements: Proficient at quickly understanding complex machine learning concepts and utilizing technology for tasks such as data modeling, analysis, visualization, and process automation. Skilled in selecting and applying the most suitable standards, methods, tools, and frameworks for specific ML tasks and use cases. Capable of collaborating effectively within cross-functional teams, while also being able to work independently on complex ML projects. Demonstrates a strong analytical mindset and systematic approach to solving machine learning challenges. Excellent communication skills, able to present complex technical concepts clearly to both technical and non-technical audiences. What we look for A Team of people with commercial acumen, technical experience, and enthusiasm to learn new things in this fast-moving environment. An opportunity to be a part of market-leading, multi-disciplinary team of 7200 + professionals, in the only integrated global assurance business worldwide. Opportunities to work with EY GDS Assurance practices globally with leading businesses across a range of industries What working at EY offers At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you About EY As a global leader in assurance, tax, transaction, and advisory services, we’re using the finance products, expertise, and systems we’ve developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities, and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we’ll make our ambition to be the best employer by 2020 a reality. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible. Join us in building a better working world. Apply now EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Position Name ML Developer Taleo ID Position Level Staff Employment Type Permanent Number of Openings 1 Work Location Kochi, Chennai , Noida , Bangalore , Pune , Kolkata , TVM Position Details As part of EY GDS Assurance Digital, you will be responsible for leveraging advanced machine learning techniques to develop innovative, high-impact models and solutions that drive growth and deliver significant business value. You will be helping EY’s sector and service line professionals by developing analytics enabled solutions, integrating data science activities with business relevant aspects to gain insight from data. This is a full-time Machine Learning Developer role, responsible for building and deploying robust machine learning models to solve real-world business problems. You will be working on the entire ML lifecycle, including data analysis, feature engineering, model training, evaluation, and deployment. Requirements (including Experience, Skills And Additional Qualifications) A bachelor’s degree (BE/BTech/MCA & MBA) in Computer Science, Engineering, Information Systems Management, Accounting, Finance or a related field with adequate industry experience. Technical Skills Requirements Develop and implement machine learning models, including regression, classification (e.g., XGBoost, Random Forest), and clustering techniques. Conduct exploratory data analysis (EDA) to uncover insights and trends within data sets. Apply dimension reduction techniques to improve model performance and interpretability. Utilize statistical models to design and implement effective business solutions. Evaluate and validate models to ensure robustness and reliability. Should have solid background in Python Familiarity with Time Series Forecasting. Basic experience with cloud platforms such as AWS, Azure, or GCP. Exposure to ML Ops tools and practices (e.g., MLflow, Airflow, Docker) is a plus Additional skill requirements: Proficient at quickly understanding complex machine learning concepts and utilizing technology for tasks such as data modeling, analysis, visualization, and process automation. Skilled in selecting and applying the most suitable standards, methods, tools, and frameworks for specific ML tasks and use cases. Capable of collaborating effectively within cross-functional teams, while also being able to work independently on complex ML projects. Demonstrates a strong analytical mindset and systematic approach to solving machine learning challenges. Excellent communication skills, able to present complex technical concepts clearly to both technical and non-technical audiences. What we look for A Team of people with commercial acumen, technical experience, and enthusiasm to learn new things in this fast-moving environment. An opportunity to be a part of market-leading, multi-disciplinary team of 7200 + professionals, in the only integrated global assurance business worldwide. Opportunities to work with EY GDS Assurance practices globally with leading businesses across a range of industries What working at EY offers At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you About EY As a global leader in assurance, tax, transaction, and advisory services, we’re using the finance products, expertise, and systems we’ve developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities, and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we’ll make our ambition to be the best employer by 2020 a reality. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible. Join us in building a better working world. Apply now EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Description AI/ML Engineer Requirements Full-stack AI Engineer Must Have: Programming language – Python, Java/Scala Must have : Experience with data processing libraries like Pandas, NumPy, and Scikit-learn Must have : Proficient in distributed computing platform Apache Spark (PySpark, Scala), Torch etc. Must have: Proficiency in API development with Fast API, Spring boot, Understanding of O&M – logging, monitoring, fault management, security etc Good-to-have : Handson experience with deployment & orchestration tools – Docker, Kubernetes, Helm Good-to-have : Experience with cloud platforms (AWS -Sagemaker/ Bedrock, GCP, or Azure) Good-to-have : Strong programming skills in TensorFlow, PyTorch, or similar ML frameworks (training and deployment) Job responsibilities Full-stack AI Engineer Must Have: Programming language – Python, Java/Scala Must have : Experience with data processing libraries like Pandas, NumPy, and Scikit-learn Must have : Proficient in distributed computing platform Apache Spark (PySpark, Scala), Torch etc. Must have: Proficiency in API development with Fast API, Spring boot, Understanding of O&M – logging, monitoring, fault management, security etc Good-to-have : Handson experience with deployment & orchestration tools – Docker, Kubernetes, Helm Good-to-have : Experience with cloud platforms (AWS -Sagemaker/ Bedrock, GCP, or Azure) Good-to-have : Strong programming skills in TensorFlow, PyTorch, or similar ML frameworks (training and deployment) What we offer Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally. Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today. Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way! High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do. About GlobalLogic GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.

Head of Data & Analytics (India) As the Head of Data & Analytics, you will lead and scale the data function at OneMagnify India, serving as the strategic anchor for both onsite client engagements and offshore delivery. You will play a critical role in developing our Center of Excellence (CoE) for Data & Analytics, mentoring teams, building capabilities, and expanding business opportunities through value-added analytics solutions. This role will also partner with global and India leadership to shape our GDC growth journey and unlock cross-sell opportunities with key accounts. Head of Data & Analytics (India) As the Head of Data & Analytics, you will lead and scale the data function at OneMagnify India, serving as the strategic anchor for both onsite client engagements and offshore delivery. You will play a critical role in developing our Center of Excellence (CoE) for Data & Analytics, mentoring teams, building capabilities, and expanding business opportunities through value-added analytics solutions. This role will also partner with global and India leadership to shape our GDC growth journey and unlock cross-sell opportunities with key accounts. About You You bring deep expertise in the entire data lifecycle and analytics and know how to turn insights into outcomes. You lead with influence and are energized by building high-performing, scalable delivery teams. You’re a strategic operator, capable of mentoring talent, shaping practice direction, and supporting go-to-market activities. You thrive in a collaborative, cross-functional environment and believe in India as a capability and innovation hub. You have a command of AI/ML technologies, with a strategic mindset for integrating advanced data science into marketing and business operations. What You’ll Do Lead the Data & Analytics practice in India, supporting both onsite engagements and global in-house delivery. Mentor and guide a growing team of 50+ onsite and offshore data professionals, fostering technical excellence, collaboration, and continuous improvement. Build, scale, and optimize a Center of Excellence (CoE) for data engineering, reporting, business intelligence, and AI. Act as the primary SME and escalation point for India data delivery; provide thought leadership and delivery oversight. Collaborate with global teams to identify & enable cross-sell and up-sell opportunities. Support pre-sales, client pitches, and proposal development for data projects and analytics initiatives. Define and standardize best practices for data modeling, quality, automation, and agile delivery processes. Drive internal capability building in advanced analytics, visualization (e.g. Domo, Power BI), and platforms (e.g. Snowflake, DataBricks). Represent OneMagnify India’s data capabilities to clients, prospects, and global leadership. Stay abreast of emerging AI technologies, data science techniques, and industry innovations to drive differentiation in client delivery. What You’ll Need 15+ years of experience in Data & Analytics with a proven track record in leading data practices or delivery teams. Expertise in BI, reporting, data engineering, and cloud platforms (e.g. Snowflake/DataBricks, Domo/PowerBI/Tableau, AWS/GCP/Azure, SQL/Python/Spark). Strong understanding of data lifecycle, analytics frameworks, and agile development. Experience working in onsite-offshore models across enterprise environments. Demonstrated ability to lead cross-functional teams, mentor talent, and influence executive stakeholders. Entrepreneurial mindset with the ability to shape strategy, drive adoption, and build client trust. Excellent communication and storytelling skills with a consultative and commercial outlook. Experience in leading data and analytics teams focused on marketing performance, customer insights, or personalization at scale. A track record of translating complex analytical findings into actionable business strategies and measurable ROI improvements.

Position: Co-Founder & Chief Sales Officer (CSO) / Head of Sales Location: Navi-Mumbai Engagement Type: Equity-based (with minor monthly payouts to cover essentials) Experience Required: 10–20 Years Education: Full-time MBA from a Tier-1 Institute preferred Start Date: Immediate LinkCxO – The Exclusive Platform for Senior Leaders & CxOs What We Do LinkCxO is a premium, AI-powered platform built exclusively for senior and C-suite professionals. We aggregate high-quality business insights, industry-centric content, CxO/Senior-level job opportunities, and curated executive events—all in one trusted space. Why LinkCxO? 🌐 30,000+ Verified Senior Members 🧠 AI-Aggregated Industry Insights from thousands of business sources 📅 CxO-Centric Industry Events (conferences, webinars, meet-ups) 💼 10,000+ Live CxO/Senior-Level Jobs across industries 🤝 A trusted network for collaboration, knowledge-sharing, and executive growth The Problem CxOs are overwhelmed with scattered content, irrelevant events, and fragmented job portals—not designed for their needs. Our Solution LinkCxO simplifies and personalises the executive journey—one platform, endless executive value. What We’re Looking For We are looking for a Co-Founder & Chief Sales Officer / Head of Sales —a growth-focused, revenue-oriented leader who can architect and scale our entire sales engine, with a founder’s mindset. Someone who understands the nuances of B2B, enterprise, and platform sales—especially in the executive leadership space. This is not a traditional sales job—it’s a co-founder opportunity for someone ready to own, grow, and scale the commercial side of a category-defining product. Key Responsibilities 🧩 Sales Strategy: Own end-to-end GTM and revenue roadmap across verticals (B2B partnerships, subscriptions, hiring solutions, events) 📈 Revenue Growth: Build and scale a predictable sales engine with clear CAC–LTV metrics 🤝 Enterprise Relationships: Drive long-term partnerships with enterprises, executive search firms, event sponsors, and hiring partners 🛠️ Sales Infrastructure: Build systems and processes for CRM, sales funnels, outreach, and analytics 🧑 🤝 🧑 Sales Team Leadership: Recruit, train, and mentor a high-performing sales team aligned to founder-led principles 🧪 Experiment & Iterate: Continuously test new sales channels, pricing models, and engagement strategies 🧠 Cross-Functional Collaboration: Work closely with Product, Marketing, and Customer Success to align growth initiatives Who You Are ✅ 10–20 years of experience in B2B, SaaS, executive search, HRTech, or platform sales ✅ Deep understanding of enterprise buying behavior and stakeholder management ✅ Proven record of exceeding sales targets and scaling revenue from 0 to 10Cr+ ✅ Prior startup or entrepreneurial experience preferred ✅ Comfortable with building strategy and doing hands-on execution ✅ Excellent communication, presentation, and negotiation skills ✅ Open to equity-first compensation with minor monthly payout for essentials ✅ Ready to commit full-time, on-site, and be part of the founding leadership Leadership Team & Advisors 👔 Rajesh Padmanabhan – Chief Mentor Former CHRO at Capgemini, Vedanta, and Welspun. A highly decorated senior executive, board advisor, and transformation leader. UN Award recipient for D&I practices. 💡 Gyanesh Kumar – Founder & CEO 20+ years of global tech and consulting experience. Founder of ExoTalent & LeadersEdge. ISB (PGPMAX) and IIM Ahmedabad alumnus. Former CBO at Shine.com. 🧠 Hema Gupta – Co-founder – CxO Hiring & Engagement 16+ years in executive search and industrial recruitment. Co-led growth at LeadersEdge and ExoTalent. Specialist in automotive and manufacturing sector hiring. 📊 Sumit Jha – Advisor – Chief Analytics Officer IIT Kharagpur & IIM Shillong. 18+ years in AI/ML across India, the US, and Europe. Expert in high-frequency analytics, chatbots, and enterprise data science systems. 🎯 Amitabh Kumar – Strategic Advisor & Executive Coach 20+ years in executive coaching, multilingual hiring, and startup mentorship. ICF-certified coach with 800+ hours of practice. Featured in NDTV, CNBC Awaaz, TOI. 📣 You – Chief Sales Officer What We Offer 📈 Co-Founder Equity: High ownership in a high-growth, purpose-driven platform 🧠 Sales Autonomy: Own and shape LinkCxO’s commercial and GTM engine 💼 Minor payouts: Enough to cover essentials until fundraising milestone 🚀 Opportunity to define a new market category in the executive leadership space 🤝 Daily collaboration with a passionate, high-performance founding team Interested in Building the Future of Executive Networks? 📩 Reach out directly to kgyanesh@linkcxo.com 🌐 www.linkcxo.com

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Position Name ML Developer Taleo ID Position Level Staff Employment Type Permanent Number of Openings 1 Work Location Kochi, Chennai , Noida , Bangalore , Pune , Kolkata , TVM Position Details As part of EY GDS Assurance Digital, you will be responsible for leveraging advanced machine learning techniques to develop innovative, high-impact models and solutions that drive growth and deliver significant business value. You will be helping EY’s sector and service line professionals by developing analytics enabled solutions, integrating data science activities with business relevant aspects to gain insight from data. This is a full-time Machine Learning Developer role, responsible for building and deploying robust machine learning models to solve real-world business problems. You will be working on the entire ML lifecycle, including data analysis, feature engineering, model training, evaluation, and deployment. Requirements (including Experience, Skills And Additional Qualifications) A bachelor’s degree (BE/BTech/MCA & MBA) in Computer Science, Engineering, Information Systems Management, Accounting, Finance or a related field with adequate industry experience. Technical Skills Requirements Develop and implement machine learning models, including regression, classification (e.g., XGBoost, Random Forest), and clustering techniques. Conduct exploratory data analysis (EDA) to uncover insights and trends within data sets. Apply dimension reduction techniques to improve model performance and interpretability. Utilize statistical models to design and implement effective business solutions. Evaluate and validate models to ensure robustness and reliability. Should have solid background in Python Familiarity with Time Series Forecasting. Basic experience with cloud platforms such as AWS, Azure, or GCP. Exposure to ML Ops tools and practices (e.g., MLflow, Airflow, Docker) is a plus Additional skill requirements: Proficient at quickly understanding complex machine learning concepts and utilizing technology for tasks such as data modeling, analysis, visualization, and process automation. Skilled in selecting and applying the most suitable standards, methods, tools, and frameworks for specific ML tasks and use cases. Capable of collaborating effectively within cross-functional teams, while also being able to work independently on complex ML projects. Demonstrates a strong analytical mindset and systematic approach to solving machine learning challenges. Excellent communication skills, able to present complex technical concepts clearly to both technical and non-technical audiences. What we look for A Team of people with commercial acumen, technical experience, and enthusiasm to learn new things in this fast-moving environment. An opportunity to be a part of market-leading, multi-disciplinary team of 7200 + professionals, in the only integrated global assurance business worldwide. Opportunities to work with EY GDS Assurance practices globally with leading businesses across a range of industries What working at EY offers At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you About EY As a global leader in assurance, tax, transaction, and advisory services, we’re using the finance products, expertise, and systems we’ve developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities, and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we’ll make our ambition to be the best employer by 2020 a reality. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible. Join us in building a better working world. Apply now EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At Citi we’re not just building technology, we’re building the future of banking. Encompassing a broad range of specialties, roles, and cultures, our teams are creating innovations used across the globe. Citi is constantly growing and progressing through our technology, with laser focused on evolving the ways of doing things. As one of the world’s most global banks we’re changing how the world does business Shape your Career with Citi We’re currently looking for a high caliber professional to join our team as 25883567 Officer- ETL Automation tester -QA - C10 -Hybrid- PUNE based in Pune/Chennai, India. Being part of our team means that we’ll provide you with the resources to meet your unique needs, empower you to make healthy decision and manage your financial well-being to help plan for your future. For instance: We provide programs and services for your physical and mental well-being including access to telehealth options, health advocates, confidential counseling and more. Coverage varies by country. We empower our employees to manage their financial well-being and help them plan for the future. We provide access to an array of learning and development resources to help broaden and deepen your skills and knowledge as your career progresses. The Testing Analyst is a developing professional role. Applies specialty area knowledge in monitoring, assessing, analyzing and/or evaluating processes and data. Identifies policy gaps and formulates policies. Interprets data and makes recommendations. Researches and interprets factual information. Identifies inconsistencies in data or results, defines business issues and formulates recommendations on policies, procedures or practices. Integrates established disciplinary knowledge within own specialty area with basic understanding of related industry practices. Good understanding of how the team interacts with others in accomplishing the objectives of the area. Develops working knowledge of industry practices and standards. Limited but direct impact on the business through the quality of the tasks/services provided. Impact of the job holder is restricted to own team. Candidate is expected to Build Data Pipelines: Extract data from various sources (like databases and data lakes), clean and transform it, and load it into target systems Testing and Validation: Develop automated tests to ensure the data pipelines are working correctly and the data is accurate. This is like quality control, making sure everything meets the bank's standards Work with Hive, HDFS, and Oracle data sources to extract, transform, and load large-scale datasets Leverage AWS services such as S3, Lambda, and Airflow for data ingestion, event-driven processing, and orchestration Create reusable frameworks, libraries, and templates to accelerate automation and testing of ETL jobs Participate in code reviews, CI/CD pipelines , and maintain best practices in Spark and cloud-native development Ensures tooling can be run in CICD providing real-time on demand test execution shortening the feedback loop to fully support Handsfree execution Regression , Integration, Sanity testing, Regression automated suites, reports issues – provide solutions and ensures timely completion Own and drive automation in Data and Analytics Team to achieve 90% automation in Data, ETL space. Design and develop integrated portal to consolidate utilities and cater to user needs. Supports initiatives related to automation on Data & Analytics testing requirements for process and product rollout into production. Specialists who can work with technology team to design and implement appropriate automation scripts/plans for an application testing, meeting required KPI and automation effectiveness. Ensures new utilities are documented and transitioned to testers for execution and supports for troubleshooting in case required. Monitors and reviews code check-ins from peers and helps maintain project repository. Ability to work independently as well as collaborate within groups on various projects assigned. Ability to work in a fast-paced, dynamic environment and manage multiple priorities effectively. Experience and understanding of Wealth domain specifically in private bank(banking) , lending services and related Tech applications.Supports and contributes to automated test data generation and sufficiency. Successful candidate ideally would have following skills and exposure: 2 - 4 years of experience on automation testing across UI Experience in Automation ETL Testing , testing by using SQL queries. Hands on experience on Selenium BDD Cucumber using Java, Python Extensive knowledge on developing and maintaining automation frameworks, AI/ ML related solutions. Experience on automating BI reports e.g., Tableau dashboards and views validation. Data analytics and BI reports in the Financial Service industry Hands on experience in Python for developing utilities for Data Analysis using Pandas, NumPy etc. Exposure and some experience on AI related solutions, ML which can help automate faster. Experience with mobile testing using perfecto, API Testing-SoapUI, Postman/Rest Assured will be added advantage. Detailed knowledge data flows in relational database and Bigdata systems Strong knowledge of Oracle SQL and HiveQL and understanding of ETL/Data Testing. Experience with CI/CD tools like Jenkins. Proficiency in working on Cloudera Hadoop ecosystem (HDFS, Hive, YARN) Hands-on experience with ETL automation and validation framework. Solid understanding of AWS services like S3, Lambda, EKS, Airflow, and Strong problem-solving and debugging skills Excellent communication and collaboration abilities to lead and mentor a large techno-functional team across different geographical locations Strong Acumen and presentation skills. Able to work in an Agile environment and deliver results independently Education: Bachelor’s/University degree or equivalent experience ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Technology Quality ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

Job Title: Junior R&D Engineer Location: Chennai (On-site) Job Type: Full-Time Experience: 0–2 years Department: Research & Development About The Role We are seeking a curious and technically skilled R&D Engineer to join our growing team in Chennai. This role involves hands-on experimentation, data analysis, and cross-functional collaboration to build and improve health-tech devices and intelligent systems. The ideal candidate should have a strong foundation in Python, with exposure to machine learning, biomedical signal processing, or embedded systems. Key Responsibilities Support the research and development of new health monitoring products and systems. Work with Python for data analysis, algorithm development, and rapid prototyping. Collaborate on signal acquisition, processing, and interpretation of biomedical signals (EEG, ECG, etc.). Participate in testing, validation, and documentation of R&D outputs. Coordinate with hardware, software, and testing teams for integration and deployment. Analyze test data and troubleshoot system-level issues. Stay updated on industry trends in medical technology, ML/AI applications, and sensor integration. Required Skills Strong knowledge of Python (mandatory). Basic understanding of signal processing, machine learning, or data visualization. Good understanding of biomedical concepts (preferred, not mandatory). Good written and verbal communication skills. Quick learner with a proactive, research-oriented mindset. Good To Have Exposure to C# or .NET platforms. Experience working on academic or industry projects related to biomedical systems. Education & Qualification B.E/B.Tech or M.E/M.Tech in Biomedical Engineering, Electronics, Computer Science, or a related field. 0–2 years of experience or strong academic/research project background. What We Offer Opportunity to work on real-world, impactful health-tech products. Learning-focused and collaborative environment. Involvement in R&D from concept to deployment. Freedom to explore and contribute to multiple stages of innovation.

Role Overview We are seeking a dynamic and experienced General Manager – Sales to lead our go-to-market strategy for AI-powered X-ray software, targeting Indian X-ray machine OEMs and manufacturers. The ideal candidate will have a proven track record in medical device or healthcare software sales, strong relationships at leadership levels within X-ray OEMs, and a deep understanding of the diagnostic imaging landscape. This is a high-impact leadership role responsible for driving revenue growth, building strategic partnerships, and positioning our AI solution as the preferred choice for OEM integration and distribution Key Responsibilities Develop and execute a comprehensive sales strategy to position and sell our AI X-ray software to Indian X-ray OEMs and manufacturers, with a focus on companies producing chest X-ray systems. Build and nurture relationships with key decision-makers (CXOs, VPs, Directors) at target OEMs such as Star Nuke, AMRAD Medical Systems, Unique International, Vision X-Ray, Newlife Medical Systems, and Epsilon Medical Devices. Lead the end-to-end enterprise sales process: prospecting, pitching, negotiating, and closing large-scale B2B deals Collaborate cross-functionally with product, implementation, and customer success teams to ensure solution alignment and successful delivery Represent the company at industry conferences, trade shows, and networking events to drive brand awareness and generate qualified leads Analyze market trends, customer needs, and competitor activities to refine sales tactics and product positioning Prepare and present sales forecasts, reports, and business cases to senior management Recruit, mentor and manage the sales team, fostering a high-performance, target-driven culture Required Qualifications & Experience Masters/ bachelor’s degree in business, Engineering, Life Sciences, or related field; MBA preferred 5 to 10 years of sales experience in medical devices, imaging equipment, or healthcare software, with at least 2 to 5 years in a senior leadership role Demonstrated success in selling to or partnering with X-ray OEMs, preferably with an established network among Indian diagnostic equipment manufacturers Proven track record of closing large, complex B2B deals and consistently achieving/exceeding sales targets Strong understanding of AI/ML applications in medical imaging and familiarity with clinical workflows, especially in radiology and chest X-ray diagnostics Excellent communication, negotiation, and presentation skills, with the ability to influence C-suite stakeholders Experience with CRM and sales analytics tools Willingness to travel extensively within India. Preferred Attributes Entrepreneurial mindset and ability to operate with high autonomy in a growth-stage environment Deep understanding of regulatory requirements and integration challenges in the medical imaging domain Experience selling capital equipment, imaging systems, medical devices, equipment leasing firms, industrial automation/Mechatronics OEM sales or allied Healthtech SaaS is a strong plus Solid network within radiology equipment vendors, PACS/RIS providers , or diagnostic solution integrators A true closer: high energy, persuasive, and committed to building long-term relationships Must be scalable – capable of growing into a national sales leadership role Why Join Us? Opportunity to lead the sales function for an innovative AI healthcare product with significant market potential. Work with a passionate, mission-driven team at the forefront of medical imaging technology Competitive compensation, incentives, and growth opportunities.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Position Name ML Developer Taleo ID Position Level Staff Employment Type Permanent Number of Openings 1 Work Location Kochi, Chennai , Noida , Bangalore , Pune , Kolkata , TVM Position Details As part of EY GDS Assurance Digital, you will be responsible for leveraging advanced machine learning techniques to develop innovative, high-impact models and solutions that drive growth and deliver significant business value. You will be helping EY’s sector and service line professionals by developing analytics enabled solutions, integrating data science activities with business relevant aspects to gain insight from data. This is a full-time Machine Learning Developer role, responsible for building and deploying robust machine learning models to solve real-world business problems. You will be working on the entire ML lifecycle, including data analysis, feature engineering, model training, evaluation, and deployment. Requirements (including Experience, Skills And Additional Qualifications) A bachelor’s degree (BE/BTech/MCA & MBA) in Computer Science, Engineering, Information Systems Management, Accounting, Finance or a related field with adequate industry experience. Technical Skills Requirements Develop and implement machine learning models, including regression, classification (e.g., XGBoost, Random Forest), and clustering techniques. Conduct exploratory data analysis (EDA) to uncover insights and trends within data sets. Apply dimension reduction techniques to improve model performance and interpretability. Utilize statistical models to design and implement effective business solutions. Evaluate and validate models to ensure robustness and reliability. Should have solid background in Python Familiarity with Time Series Forecasting. Basic experience with cloud platforms such as AWS, Azure, or GCP. Exposure to ML Ops tools and practices (e.g., MLflow, Airflow, Docker) is a plus Additional skill requirements: Proficient at quickly understanding complex machine learning concepts and utilizing technology for tasks such as data modeling, analysis, visualization, and process automation. Skilled in selecting and applying the most suitable standards, methods, tools, and frameworks for specific ML tasks and use cases. Capable of collaborating effectively within cross-functional teams, while also being able to work independently on complex ML projects. Demonstrates a strong analytical mindset and systematic approach to solving machine learning challenges. Excellent communication skills, able to present complex technical concepts clearly to both technical and non-technical audiences. What we look for A Team of people with commercial acumen, technical experience, and enthusiasm to learn new things in this fast-moving environment. An opportunity to be a part of market-leading, multi-disciplinary team of 7200 + professionals, in the only integrated global assurance business worldwide. Opportunities to work with EY GDS Assurance practices globally with leading businesses across a range of industries What working at EY offers At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you About EY As a global leader in assurance, tax, transaction, and advisory services, we’re using the finance products, expertise, and systems we’ve developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities, and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we’ll make our ambition to be the best employer by 2020 a reality. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible. Join us in building a better working world. Apply now EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Position Name ML Developer Taleo ID Position Level Staff Employment Type Permanent Number of Openings 1 Work Location Kochi, Chennai , Noida , Bangalore , Pune , Kolkata , TVM Position Details As part of EY GDS Assurance Digital, you will be responsible for leveraging advanced machine learning techniques to develop innovative, high-impact models and solutions that drive growth and deliver significant business value. You will be helping EY’s sector and service line professionals by developing analytics enabled solutions, integrating data science activities with business relevant aspects to gain insight from data. This is a full-time Machine Learning Developer role, responsible for building and deploying robust machine learning models to solve real-world business problems. You will be working on the entire ML lifecycle, including data analysis, feature engineering, model training, evaluation, and deployment. Requirements (including Experience, Skills And Additional Qualifications) A bachelor’s degree (BE/BTech/MCA & MBA) in Computer Science, Engineering, Information Systems Management, Accounting, Finance or a related field with adequate industry experience. Technical Skills Requirements Develop and implement machine learning models, including regression, classification (e.g., XGBoost, Random Forest), and clustering techniques. Conduct exploratory data analysis (EDA) to uncover insights and trends within data sets. Apply dimension reduction techniques to improve model performance and interpretability. Utilize statistical models to design and implement effective business solutions. Evaluate and validate models to ensure robustness and reliability. Should have solid background in Python Familiarity with Time Series Forecasting. Basic experience with cloud platforms such as AWS, Azure, or GCP. Exposure to ML Ops tools and practices (e.g., MLflow, Airflow, Docker) is a plus Additional skill requirements: Proficient at quickly understanding complex machine learning concepts and utilizing technology for tasks such as data modeling, analysis, visualization, and process automation. Skilled in selecting and applying the most suitable standards, methods, tools, and frameworks for specific ML tasks and use cases. Capable of collaborating effectively within cross-functional teams, while also being able to work independently on complex ML projects. Demonstrates a strong analytical mindset and systematic approach to solving machine learning challenges. Excellent communication skills, able to present complex technical concepts clearly to both technical and non-technical audiences. What we look for A Team of people with commercial acumen, technical experience, and enthusiasm to learn new things in this fast-moving environment. An opportunity to be a part of market-leading, multi-disciplinary team of 7200 + professionals, in the only integrated global assurance business worldwide. Opportunities to work with EY GDS Assurance practices globally with leading businesses across a range of industries What working at EY offers At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you About EY As a global leader in assurance, tax, transaction, and advisory services, we’re using the finance products, expertise, and systems we’ve developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities, and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we’ll make our ambition to be the best employer by 2020 a reality. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible. Join us in building a better working world. Apply now EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Company Description WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees. Job Description Job Overview: Responsible for leading data science initiatives, developing advanced analytics models and ensuring successful execution of data-driven projects for clients in the retail. Will work closely with key client stakeholders to understand their business challenges and leverage data science to deliver actionable insights that drive business growth and efficiency.Lead the design, development and implementation of advanced analytics models. Including predictive and prescriptive models for retail clients.Should be able to convert mathematical/ statistics-based research into sustainable data science solutionsCandidate should be able to think from first principles to define & evangelize solutions for any client business problemLeverage deep knowledge of the retail to develop data-driven solutions that address industry-specific challenges. Apply AI/ML statistical methods to solve complex business problems and determine new opportunities for clients.Ensure project delivery of high-quality, actionable insights that drive business decisions and outcomes.Ensure end-to-end lifecycle (scoping to Delivery) of data science projects.Collaborate with cross-functional teams to ensure seamless project execution.Manage timelines, resources, and deliverables to meet client expectations and project goals.Drive innovation by exploring new data science techniques, tools, and technologies that can enhance the value delivered to clients.Strong hands-on experience with data science tools and technologies (e.g., Python, R, SQL, machine learning frameworks).Hand-on experience with a range of data science models including regression, classification, clustering, decision tree, random forest, support vector machine, naïve Bayes, GBM, XGBoost, multiple linear regression, logistic regression, and ARIMA/ARIMAX.Should be competent in Python (Pandas, NumPy, scikit-learn etc.), possess high levels of analytical skills and have experience in the creation and/or evaluation of predictive models.Preferred experience in areas such as time series analysis, market mix modelling, attribution modelling, churn modelling, market basket analysis, etcGood communication and project management skills. Should be able to communicate effectively to a wide range of audiences, both technical and business. Adept in creating Presentations, reports etc to present theanalysis findings to key client stakeholders. Strong team management skills with a passion for mentoring and developing talent. Qualifications BTech/Masters in Statistics/Mathematics/Economics/Econometrics from Tier 1-2 institutions Or BE/B-Tech, MCA or MBA

Company Description The Smart Cube, a WNS company, is a trusted partner for high performing intelligence that answers critical business questions. And we work with our clients to figure out how to implement the answers, faster. Job Description Job DescriptionDesign, develop, and deploy ML/DL models (including Generative AI) using Python. Apply NLP techniques for text analysis and model building. Conduct data preprocessing, feature engineering, and model evaluation. Collaborate with teams to understand needs and deliver AI solutions. Stay updated with the latest advancements in relevant AI fields. Deploy and monitor ML models in production environments.Good Knowledge of AWS/Azure cloud is goodRequired Skills and Qualifications:Proficiency in Python and relevant ML/DL libraries (e.g., scikit-learn, TensorFlow, Kera’s, PyTorch). Strong understanding and practical application of Machine Learning and Deep Learning algorithms. Experience with Natural Language Processing (NLP) techniques and libraries. Familiarity with Generative AI models and their applications. Experience in data preprocessing, feature engineering, and model evaluation. Ability to deploy and monitor machine learning models. Excellent analytical and problem-solving skills. Strong communication skills to present data insights to stakeholders.Ability to work independently and as part of a team. Qualifications Graduate/Post Graduate

Company Description WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees. Job Description Brief Job DescriptionAs a key team member, you would be actively involved in setting up, running and managing various Pricing and Promotion projects with yours indebt Consumer industry knowledge and Statistical modelling experience. Using Python, Azure, SQL , Advance excel or other require technical skills you will be actively involved in building and developing attribution models, helping the business utilize and optimize all marketing data for more efficient and effective targeting. You would identify and measure the Effectiveness of marketing investments. This will be for both the online and offline side of the business to understand advertisement, promotion and marketing activities ROI and effectiveness. You will be seen as a strong voice of influence and presenting your projects to clients, delivering insights & recommendations to senior management as well as non-technical audiences.Work Experience5 years of experience in Pricing and Promotion Analysis, Advanced Analytics, Market mix modeling, consulting in CPG & FMCG Domain. Pricing analysts present their findings to executives, marketing teams, and sales personnel through weekly or monthly meetings. This aspect of the role requires pricing analysts to translate complex data into actionable strategies and techniques to drive sales and enhance marketing efforts. Grow total gross margin dollars by identifying pricing actions that encourage higher sale values, conversion rates, inelasticity, margin rates, and customer satisfaction Drive Optimization activities of price and promo investments, to achieve maximum ROI. Machine Learning (ML), DevOps, Azure Data bricks experience/understanding Statistical Modelling - Pooled Regression, Time Series Modelling, Clustering, Hypothesis Testing Data Science and Machine Learning technical knowledge (Decision Tree, Random Forecast, KNN, SVM) Expert in Python, with knowledge of at least one Python web framework {such as Django, Flask, etc depending on your technology stack} Expertized in Exploratory Data Analysis, Data Cleaning, Feature Engineering, Data Pre-processing. Python coding with knowledge of back-end Algorithms/Documentation and Statistical Techniques MMM (Marketing Mix Modelling) subject matter expert, create Budget simulator, skilled in building end-to-end Mix Marketing Models capability in team Robust knowledge on Consumer Industry Brands & Category, knowledge on FMCG / CPG data processing (with sales / marketing / commercial operations teams). Able to source data from external syndicated data provider’s portals Identifying new ways to leverage data (internal and external data sets - sales, digital, advertisement, media, sales force, social) to generate business insights Demonstrate technical functional expertise and be seen as an expert and partner by the client and internal stakeholders Fluent verbal communication and good written communication, communicate statistical outputs in a business language Provide training and support for internal employees Well-developed conceptual, analytical, strategic thinking and problem solving skills. High sense of ownership. Proven ability to handle multiple projects while meeting deadlines and documenting progress towards those deadlines Provide support to global markets and display flexibilityShift Time: 8:00 AM to 5:00 PM IST Qualifications Qualificationo M.Sc. Statisticso M.Sc. Operational Researcho M.Sc. Mathematicso B. Sc. Stats + MBAo B.Tech

About H.E. Services: At H.E. Services vibrant tech Center in Hyderabad, you will have the opportunity to contribute to technology innovation for Holman Automotive, a leading American fleet management and automotive services company. Our goal is to continue investing in people, processes, and facilities to ensure expansion in a way that allows us to support our customers and develop new tech solutions. Holman has come a long way during its first 100 years in business. The automotive markets Holman serves include fleet management and leasing; vehicle fabrication and up fitting; component manufacturing and productivity solutions; powertrain distribution and logistics services; commercial and personal insurance and risk management; and retail automotive sales as one of the largest privately owned dealership groups in the United States. Join us and be part of a team that's transforming the way Holman operates, creating a more efficient, data-driven, and customer-centric future. Roles & Responsibilities: Design, develop, and maintain data pipelines using Databricks , Spark , and other Azure cloud technologies. Optimize data pipelines for performance, scalability, and reliability, ensuring high speed and availability of data warehouse performance. Develop and maintain ETL processes using Databricks and Azure Data Factory for real-time or trigger-based data replication. Ensure data quality and integrity throughout the data lifecycle, implementing new data validation methods and analysis tools. Collaborate with data scientists, analysts, and stakeholders to understand and meet their data needs. Troubleshoot and resolve data-related issues, providing root cause analysis and recommendations. Manage a centralized data warehouse in Azure SQL to create a single source of truth for organizational data, ensuring compliance with data governance and security policies. Document data pipeline specifications, requirements, and enhancements, effectively communicating with the team and management. Leverage AI/ML capabilities to create innovative data science products. Champion and maintain testing suites, code reviews, and CI/CD processes. Must Have: Strong knowledge of Databricks architecture and tools. Proficient in SQL , Python , and PySpark for querying databases and data processing. Experience with Azure Data Lake Storage (ADLS) , Blob Storage , and Azure SQL . Deep understanding of distributed computing and Spark for data processing. Experience with data integration and ETL tools, including Azure Data Factory. Advanced-level knowledge and practice of: Data warehouse and data lake concepts and architectures. Optimizing performance of databases and servers. Managing infrastructure for storage and compute resources. Writing unit tests and scripts. Git, GitHub, and CI/CD practices. Good to Have: Experience with big data technologies, such as Kafka , Hadoop , and Hive . Familiarity with Azure Databricks Medallion Architecture with DLT and Iceberg. Experience with semantic layers and reporting tools like Power BI . Relevant Work Experience: 5+ years of experience as a Data Engineer, ETL Developer, or similar role, with a focus on Databricks and Spark. Experience working on internal, business-facing teams. Familiarity with agile development environments. Education and Training: Bachelor's degree in computer science, Engineering, or a related field, or equivalent work experience.

A legacy of excellence, driving innovation and personalized service to create exceptional customer experiences. About H.E. Services: At H.E. Services vibrant tech center in Hyderabad, you’ll have the opportunity to contribute to technology innovation for Holman Automotive, a leading American fleet management and automotive services company. Our goal is to continue investing in people, processes, and facilities to ensure expansion in a way that allows us to support our customers and develop new tech solutions Holman has come a long way during its first 100 years in business. The automotive markets Holman serves include fleet management and leasing; vehicle fabrication and upfitting; component manufacturing and productivity solutions; powertrain distribution and logistics services; commercial and personal insurance and risk management; and retail automotive sales as one of the largest privately owned dealership groups in the United States. Join us and be part of a team that's transforming the way Holman operates, creating a more efficient, data-driven, and customer-centric future. The Business Intelligence Developer II will be responsible for designing, developing, and maintaining advanced data solutions. This role involves creating pipelines in Databricks for Silver (curated) and Gold (aggregated, high-value) layers of data, developing insightful dashboards in Power BI , and applying Machine Learning ( ML ) and Artificial Intelligence ( AI ) techniques to solve complex business problems Roles & Responsibilities: Develop and maintain data pipelines in Databricks for Silver and Gold layers, ensuring data quality and reliability. Optimize data workflows to handle large volumes of structured and unstructured data efficiently. Design and optimize Power BI semantic models, including creating star schemas, managing table relationships, and defining DAX measures to support robust reporting solutions. Create, enhance, and maintain interactive dashboards and reports in Power BI to provide actionable insights to stakeholders. Collaborate with business units to gather requirements and ensure dashboards meet user needs. Use Databricks and other platforms to build and operationalize ML/AI models to enhance decision-making. Work closely with data engineers, analysts, and business stakeholders to deliver scalable and innovative data solutions. Participate in code reviews, ensure best practices, and contribute to a culture of continuous improvement. Relevant Work Experience: 3-5 years of experience in business intelligence, data engineering, or a related role. Proficiency in Databricks (Spark, PySpark) for data processing and transformation. Strong expertise in Power BI for semantic model management, dashboarding and visualization. Experience building and deploying ML/AI models in Databricks or similar platforms. Must Technical Skills : Proficiency in SQL and Python. Solid understanding of ETL/ELT pipelines and data warehousing concepts. Familiarity with cloud platforms (e.g., Azure, AWS) and tools like Delta Lake. Git, GitHub, and CI/CD practices. Excellent problem-solving and analytical skills. Strong communication skills, with the ability to translate complex technical concepts into business-friendly language. Proven ability to work both independently and collaboratively in a fast-paced environment. Preferred Qualifications: Certifications in Power BI, Databricks, or cloud platforms. Experience with advanced analytics tools (e.g., TensorFlow, Scikit-learn, AutoML). Exposure to Agile methodologies and DevOps practices.

Company Description WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees. Job Description Job Overview: Responsible for leading data science initiatives, developing advanced analytics models and ensuring successful execution of data-driven projects for clients in the retail. Will work closely with key client stakeholders to understand their business challenges and leverage data science to deliver actionable insights that drive business growth and efficiency. Lead the design, development and implementation of advanced analytics models. Including predictive and prescriptive models for retail clients. Should be able to convert mathematical/ statistics-based research into sustainable data science solutions Candidate should be able to think from first principles to define & evangelize solutions for any client business problem Leverage deep knowledge of the retail to develop data-driven solutions that address industry-specific challenges. Apply AI/ML statistical methods to solve complex business problems and determine new opportunities for clients. Ensure project delivery of high-quality, actionable insights that drive business decisions and outcomes. Ensure end-to-end lifecycle (scoping to Delivery) of data science projects. Collaborate with cross-functional teams to ensure seamless project execution.Manage timelines, resources, and deliverables to meet client expectations and project goals. Drive innovation by exploring new data science techniques, tools, and technologies that can enhance the value delivered to clients. Strong hands-on experience with data science tools and technologies (e.g., Python, R, SQL, machine learning frameworks). Hand-on experience with a range of data science models including regression, classification, clustering, decision tree, random forest, support vector machine, naïve Bayes, GBM, XGBoost, multiple linear regression, logistic regression, and ARIMA/ARIMAX. Should be competent in Python (Pandas, NumPy, scikit-learn etc.), possess high levels of analytical skills and have experience in the creation and/or evaluation of predictive models. Preferred experience in areas such as time series analysis, market mix modelling, attribution modelling, churn modelling, market basket analysis, etc Good communication and project management skills. Should be able to communicate effectively to a wide range of audiences, both technical and business. Adept in creating Presentations, reports etc to present the analysis findings to key client stakeholders. Strong team management skills with a passion for mentoring and developing talent. Qualifications Educational Qualification:BTech/Masters in Statistics/Mathematics/Economics/Econometrics from Tier 1-2 institutions Or BE/B-Tech, MCA or MBA