26966 Ml Jobs - Page 10

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

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.

This role has been designed as ‘Hybrid’ with an expectation that you will work on average 2 days per week from an HPE office. Who We Are Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE. Job Description Job Family Definition: Designs, develops, troubleshoots and debugs software programs for software enhancements and new products. Develops software including operating systems, compilers, routers, networks, utilities, databases and Internet-related tools. Determines hardware compatibility and/or influences hardware design. Management Level Definition Contributes to assignments of limited scope by applying technical concepts and theoretical knowledge acquired through specialized training, education, or previous experience. Acts as team member by providing information, analysis and recommendations in support of team efforts. Exercises independent judgment within defined parameters. What You’ll Do Responsibilities: Design topologies and build network configurations that map well-optimized network reference designs Plan, develop and execute automated and manual test plans for the reference design readiness Provide constructive feedback, report issues, and interact with developers to deliver best in class product quality Review requirements from the Product Management, Technical Marketing & Account teams Utilize available network troubleshooting tools, including network packet captures, monitoring devices, log files, and customer inputs to facilitate effective issue resolution. Description for Internal Candidates Minimum Qualifications What you need to bring: BS degree in Computer Science or equivalent experience Years of experience – 1 to 3 yrs Expert knowledge on Layer 2 and Layer 3 technologies by either validating or deploying related networking products Deep understanding on Clos based Data Center networks architecture :3-stage and 5-stage and Data Center Interconnect (DCI) Excellent understanding of features Dot1x, DHCP, Firewall, class-of-service, EVPN-VXLAN Proficient in Class of Service and DCQCN that gets heavily used in AI-ML Based Clos Networks Expert knowledge on Python programming Deep understanding of software, networking, and system concepts, including Linux internals, distributed system concepts and network troubleshooting tools Excellent interpersonal and communication skills with a proven ability to develop and maintain effective relationships. Strong problem solving and decision-making skills Additional Skills Cloud Architectures, Cross Domain Knowledge, Design Thinking, Development Fundamentals, DevOps, Distributed Computing, Microservices Fluency, Full Stack Development, Security-First Mindset, Solutions Design, Testing & Automation, User Experience (UX) What We Can Offer You Health & Wellbeing We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing. Personal & Professional Development We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division. Unconditional Inclusion We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. Let's Stay Connected Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE. #india #networking Job Engineering Job Level TCP_01 HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity. Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities. HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

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. AI and Full Stack Technical Lead Required Skills 4-7 years of overall application development experience with minimum 3 years of strong hands-on experience in designing and writing modular/reusable code using ReactJs. Strong experience in React JS, Node JS and Express JS Expertise in Redux/Flux, RxJS based development Proficient in object-oriented concepts in UI development and expert level knowledge of HTML, CSS, JavaScript, AJAX and JSON Expert level knowledge on web application architecture principles, design patterns and programming practices using front end web technologies Deep understanding of browser internals, UI framework internals, JavaScript engine internals and ability to work around challenges and limitations Hands-on knowledge in Sass & CSS Frameworks (such as Bootstrap, Material etc.) Rest API knowledge Core Python: Data structures, OOP, exception handling. API Integration: Consuming REST APIs (e.g., Azure SDKs). Data Processing: Using pandas, NumPy, and json for data manipulation. AI/ML Libraries: Familiarity with scikit-learn, transformers, or OpenAI SDKs. Experience writing unit and integration test cases Experience working in agile methodologies Experience building responsive UIs on the web that are robust, scalable, and maintainable Monitor, troubleshoot, and optimize solutions Visual Studio, TFS, VSTS and GIT Good to have knowledge in Azure and devOps pipelines Soft Skills Excellent Communication Skills Team Player Self-starter and highly motivated Ability to handle high pressure and fast paced situations Excellent presentation skills Ability to work with globally distributed teams Roles and Responsibilities: Understand existing application architecture and solution design Build engaging, usable, and accessible UI applications/components/code libraries for web. Work with other architects, leads, team members in an agile scrum environment Understand and respect UX and its role in the development of excellent UIs Build engaging, usable, and accessible UI applications/components/code libraries for web. Contribute in all phases of the development lifecycle. Identify the gaps and come up with working solutions Understand enterprise application design framework and processes Lead or Mentor junior and/or mid-level developers Review code and establish best practices Look out for latest technologies and match up with EY use case and solve business problems efficiently Ability to look at the big picture 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.

Title: Data Engineer Location: Hyderabad, India (Onsite) Fulltime. Job Description: We are seeking an experienced Data Engineer with 5-8 years of professional experience to design, build, and optimize robust and scalable data pipelines for our SmartFM platform. The ideal candidate will be instrumental in ingesting, transforming, and managing vast amounts of operational data from various building devices, ensuring high data quality and availability for analytics and AI/ML applications. This role is critical in enabling our platform to generate actionable insights, alerts, and recommendations for optimizing facility operations. ROLES AND RESPONSIBILITIES • Design, develop, and maintain scalable and efficient data ingestion pipelines from diverse sources (e.g., IoT devices, sensors, existing systems) using technologies like IBM StreamSets, Azure Data Factory, Apache Spark, Talend Apache Flink and Kafka. • Implement robust data transformation and processing logic to clean, enrich, and structure raw data into formats suitable for analysis and machine learning models. • Manage and optimize data storage solutions, primarily within MongoDB, ensuring efficient schema design, data indexing, and query performance for large datasets. • Collaborate closely with Data Scientists to understand their data needs, provide high-quality, reliable datasets, and assist in deploying data-driven solutions. • Ensure data quality, consistency, and integrity across all data pipelines and storage systems, implementing monitoring and alerting mechanisms for data anomalies. • Work with cross-functional teams (Software Engineers, Data Scientists, Product Managers) to integrate data solutions with the React frontend and Node.js backend applications. • Contribute to the continuous improvement of data architecture, tooling, and best practices, advocating for scalable and maintainable data solutions. • Troubleshoot and resolve complex data-related issues, optimizing pipeline performance and ensuring data availability. • Stay updated with emerging data engineering technologies and trends, evaluating and recommending new tools and approaches to enhance our data capabilities. REQUIRED TECHNICAL SKILLS AND EXPERIENCE • 5-8 years of professional experience in Data Engineering or a related field. • Proven hands-on experience with data pipeline tools such as IBM StreamSets, Azure Data Factory, Apache Spark, Talend Apache Flink and Apache Kafka. • Strong expertise in database management, particularly with MongoDB, including schema design, data ingestion pipelines, and data aggregation. • Proficiency in at least one programming language commonly used in data engineering, such as Python or Java/Scala. • Experience with big data technologies and distributed processing frameworks (e.g., Apache Spark, Hadoop) is highly desirable. • Familiarity with cloud platforms (Azure, AWS, or GCP) and their data services. • Solid understanding of data warehousing concepts, ETL/ELT processes, and data modeling. • Experience with DevOps practices for data pipelines (CI/CD, monitoring, logging). • Knowledge of Node.js and React environments to facilitate seamless integration with existing applications. ADDITIONAL QUALIFICATIONS • Demonstrated expertise in written and verbal communication, adept at simplifying complex technical concepts for both technical and non-technical audiences. • Strong problem-solving and analytical skills with a meticulous approach to data quality. • Experienced in collaborating and communicating seamlessly with diverse technology roles, including development, support, and product management. • Highly motivated to acquire new skills, explore emerging technologies, and stay updated on the latest trends in data engineering and business needs. • Experience in the facility management domain or IoT data is a plus. EDUCATION REQUIREMENTS / EXPERIENCE • Bachelor’s (BE / BTech) / Master’s degree (MS/MTech) in Computer Science, Information Systems, Mathematics, Statistics, or a related quantitative field.

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.

Welcome to Veradigm! Our Mission is to be the most trusted provider of innovative solutions that empower all stakeholders across the healthcare continuum to deliver world-class outcomes. Our Vision is a Connected Community of Health that spans continents and borders. With the largest community of clients in healthcare, Veradigm is able to deliver an integrated platform of clinical, financial, connectivity and information solutions to facilitate enhanced collaboration and exchange of critical patient information. Veradigm Veradigm is here to transform health, insightfully. Veradigm delivers a unique combination of point-of-care clinical and financial solutions, a commitment to open interoperability, a large and diverse healthcare provider footprint, along with industry proven expert insights. We are dedicated to simplifying the complicated healthcare system with next-generation technology and solutions, transforming healthcare from the point-of-patient care to everyday life. For more information, please explore www.veradigm.com. Job Summary What will your job look like: We are seeking a skilled .NET Full Stack Developer with 5+ years of experience in designing and developing web applications, including the integration of AI/ML solutions into business applications. The ideal candidate will be proficient in both front-end and back-end development using the Microsoft technology stack and have hands-on experience in leveraging AI APIs, machine learning models , or services like Azure AI, OpenAI, or custom ML models . Key Responsibilities Develop, test, and maintain scalable web applications using ASP.NET Core, C#, MVC, Web API. Build modern, responsive front-end interfaces using Angular / React / Blazor and integrate with backend APIs. Work with Entity Framework / EF Core and SQL Server / Azure SQL to manage data models and performance. Integrate AI features (e.g., chatbots, recommendation systems, NLP, OCR, or predictive analytics) using APIs or custom ML models. Utilize Azure Cognitive Services, OpenAI, Azure Machine Learning, or similar platforms for AI implementation. Collaborate with data scientists or ML engineers to embed models into production-ready systems. Follow best practices in coding, testing, DevOps (CI/CD), and secure application development. Participate in Agile development processes including planning, code reviews, and retrospectives. An Ideal Candidate Will Have 5+ years of experience in .NET development (C#, ASP.NET Core, Web API, MVC). Front-end experience with Angular / React / Blazor, HTML5, CSS, JavaScript/TypeScript. Hands-on experience integrating with AI services or APIs (e.g., OpenAI, Azure Cognitive Services, Google Cloud AI). Experience with RESTful APIs, Entity Framework, and SQL Server. Understanding of cloud platforms like Azure or AWS. Familiarity with Git, CI/CD pipelines, and Agile development. Good analytical, problem-solving, and communication skills. Benefits Veradigm believes in empowering our associates with the tools and flexibility to bring the best version of themselves to work. Through our generous benefits package with an emphasis on work/life balance, we give our employees the opportunity to allow their careers to flourish. Quarterly Company-Wide Recharge Days Flexible Work Environment (Remote/Hybrid Options) Peer-based incentive “Cheer” awards “All in to Win” bonus Program Tuition Reimbursement Program To know more about the benefits and culture at Veradigm, please visit the links mentioned below: - https://veradigm.com/about-veradigm/careers/benefits/ https://veradigm.com/about-veradigm/careers/culture/ We are an Equal Opportunity Employer. No job applicant or employee shall receive less favorable treatment or be disadvantaged because of their gender, marital or family status, color, race, ethnic origin, religion, disability or age; nor be subject to less favorable treatment or be disadvantaged on any other basis prohibited by applicable law Veradigm is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse and inclusive workforce. Thank you for reviewing this opportunity! Does this look like a great match for your skill set? If so, please scroll down and tell us more about yourself!

Role description: This role is with one of our prominent portfolio companies. About Us We are a San Francisco based startup building next-generation Voice AI products that redefine how humans interact with machines from smart voice assistants to automated customer conversations, voice-driven tools, and more. We are at the intersection of speech technology, large language models, and real-time systems, backed by leading investors and supported by domain experts. We’re now building our founding engineering team in India to shape the core product experience. What You'll Do Build and deploy real-time voice-based AI applications using ASR (Automatic Speech Recognition), TTS (Text-to-Speech), and LLMs. Work on latency-sensitive systems to enable near real-time conversations. Design and implement prompt-chaining, memory, and tool integration for LLM-powered voice agents. Set up and manage scalable infra for voice/audio processing and AI model serving. Work closely with the founding team on product shaping, roadmap planning, and technical strategy. Continuously experiment with and evaluate new models, APIs, and speech/LLM techniques. Who You Are 3-8 years of experience in AI/ML, deep learning, or backend-heavy engineering roles. Solid hands-on experience with speech technologies (ASR, TTS, diarization, etc.). Comfortable working with Python, PyTorch, Hugging Face, OpenAI, or similar frameworks. Experience deploying real-time systems (Docker, Kubernetes, AWS/GCP). Strong problem-solving skills with a product-first mindset. Self-starter who thrives in high-ownership, fast-paced environments. Excellent written and verbal communication

Who We Are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. See yourself at Twilio Join the team as Twilio’s next Senior Engineering Manager on Twilio’s Traffic Intelligence team. About The Job This position is needed to manage the team of machine learning engineers of the Growth & User Intelligence team and closely partner with Product & Engineering teams to execute the roadmap for Twilio’s AI/ML products and services. You will understand customers' needs, build ML and Data Science products that work at a global scale and own end-to-end execution of large scale ML solutions. As a senior manager, you will closely partner with technology and product leaders in the organization to enable the engineers to turn ideas into reality. Responsibilities In this role, you’ll: Build and maintain scalable machine learning solutions for Traffic Intelligence vertical. Be a champion for your team, setting individuals up for success and putting others’ growth first. Understand the architecture and processes required to build and operate always-available complex and scalable distributed systems in cloud environments. Advocate agile processes, continuous integration and test automation. Be a strategic problem solver and thrive operating in broad scope, from conception through continuous operation of 24x7 services. Exhibit strong communication skills: in person, or on paper. You can explain technical concepts to product managers, architects, other engineers, and support. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! Required You have a minimum of 14+ years experience with 5 years of proven track record of leading and managing software teams. Experience managing multiple workstreams within the team Bachelor’s or Master’s degree in Computer Science, Engineering or related field. Technical Experience with: Applied ML models with proficiency in Python Experience in modern data storage, messaging, and processing tools (Kafka, Apache Spark, Hadoop, Presto, DynamoDB etc.) Experience in Cloud technologies like AWS, GCP etc. Experience in ML frameworks like PyTorch, TensorFlow, or Keras etc. SaaS Telemetry and Observability tools such as Datadog, Graphana etc. Excellent problem solving, critical thinking, and communication skills. Broad knowledge of development environments and tools used to implement and build code for deployment. Have strong familiarity with agile processes, continuous integration, and a strong belief in automation over toil. As a pragmatist, you are able to distill complex and ambiguous situations into actionable plans for your team. Owned and operated services end-to-end, from requirements gathering and design, to debugging and testing, to release management and operational monitoring. Desired Experience with Large Language Models Experience designing and implementing highly scalable and performant ML models. Location This role will be remote, and based in India(Karnataka, Tamil Nadu, Telangana, Maharashtra & New Delhi) Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Job Description: AIML Automation Intern (Unpaid, 3 Months, PPO Opportunity) Location: Remote Employment Type: Internship (Unpaid, Full-Time/Part-Time as applicable) Duration: 3 Months Pre-Placement Offer (PPO): Potential, based on performance About The Role We are seeking a highly motivated AIML Automation Intern who is passionate about building and automating intelligent systems using Artificial Intelligence and Machine Learning. In this role, you’ll work on live projects that deliver real business value, gain hands-on experience in AI/ML automation, and learn from domain experts in a high-paced, growth-focused team. All projects during your internship are live business initiatives—not simulations or capstones—giving you the opportunity to see your automation solutions deployed and making a real impact. An exceptional performance may lead to a Pre-Placement Offer (PPO) for a full-time position. What You’ll Do Build and deploy automation solutions leveraging AI/ML libraries and frameworks Collaborate with mentors, data scientists, and engineers to design, develop, and optimize automation pipelines Automate routine business workflows such as data extraction, pre-processing, and monitoring tasks Participate in end-to-end ML lifecycle: data collection, model training, validation, deployment, and monitoring Contribute to continuous improvement of accuracy and efficiency for existing automation initiatives Present your solutions, document your process, and gather feedback for iteration Stay up-to-date with the latest AI/ML and automation trends and best practices What You’ll Get Live Projects: Work exclusively on real-world automation problems with real deployment and impact Mentorship: Access to experienced AI/ML practitioners for guidance and skill-building Growth: Be challenged in a fast-paced setting that pushes you to innovate and learn daily Portfolio: Ship automation modules and models that you can showcase to future employers Opportunity: Best performers may receive a Pre-Placement Offer (PPO) for a full-time role Culture: Join a driven team that values learning, collaboration, and making a difference Who You Are Genuinely interested in Artificial Intelligence, Machine Learning, and automation Comfortable with programming in Python and familiar with ML libraries such as scikit-learn, TensorFlow, or PyTorch Understanding of basic automation and workflow orchestration tools (such as Airflow, Selenium, or any RPA tools) is a plus Eager to take initiative, learn rapidly, and work both independently and as part of a team Strong analytical and problem-solving skills Effective communicator who is open to feedback and mentorship Portfolio, GitHub, or sample code/projects (personal, academic, or open-source) is highly preferred This is an unpaid internship for 3 months, with the potential for a PPO for standout performers. All your contributions will be to live automation projects—an unbeatable way to kickstart your AI/ML career! Note: This is a unpaid internship.Skills: automation,rpa tools,ml,python,airflow,pytorch,selenium,tensorflow,data extraction,artificial intelligence,scikit-learn,workflow orchestration,machine learning

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 Description As the senior data scientist, your role involves spearheading the development and execution of data-driven solutions for clients. Collaborating closely with clients, you will adeptly grasp their business needs, translating them into an AI/ML framework. Your expertise will be pivotal in designing models and selecting suitable techniques to address the client's specific challenges. Responsible for the entire data science project lifecycle, your duties extend from comprehensive data collection to meticulous model development, deployment, maintenance, and optimization. Your focus will particularly centre on crafting machine learning and deep learning models customized for retail and customer analytics, incorporating champion-challenger models to enhance performance. Effective communication with senior stakeholders is imperative in this role, and your proficiency in Python coding will be crucial for seamless end-to-end model development. As the lead data scientist, you will play a key role in driving innovative solutions that align with client objectives and industry best practices. You should possess good communication and project management skills and can communicate effectively with a wide range of audiences, both technical and business. You would be responsible for creating Presentations, reports etc to present the analysis findings to the end clients/stakeholders. Should possess the ability to confidently socialize business recommendations and enable customer organization to implement such recommendations. You must familiar and implement with a range of models including regression, classification, clustering, decision tree, random forest, support vector machine, naïve Bayes, GBM, XGBoost, multiple linear regression, logistic regression, and ARIMA/ARIMAX. You 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 Qualifications:Python for Data Science (mandatory), Good proficiency in end to end coding which includes deployment experience. Experience processing large data. Min. 3 years exp in Retail domain Preferred skills include proficiency in SQL, Spark, Excel, Azure, AWS, GCP, Power BI, and Flask. Preferred experience in areas such as time series analysis, market mix modelling, attribution modelling, churn modelling, market basket analysis, etc.Possess a strong understanding of mathematics with logical thinking abilities.Excellent communication skills are a must. Qualifications BTech/Masters in Statistics/Mathematics/Economics/Econometrics from Tier 1-2 institutions Or BE/B-Tech, MCA or MBARelevant Experience:8+ years of hands on experience in delivering Data Science/Analytics projects.