We are seeking talented and innovative Support Engineer to join our team working at the intersection of artificial intelligence and compliance. In this role, you will leverage large language models (LLMs) and other advanced machine learning techniques to develop and maintain automated systems for validating compliance documents. Key job responsibilities - Implement and fine-tune large language models to accurately process and analyze complex compliance documentation - Develop and optimize machi.

Project Role : Workplace Management Practitioner Project Role Description : Oversee workplace services across locations, managing space planning, facilities, safety compliance, and onsite support. Leverage tools, data, and solutions to deliver efficient, high-quality environments. Ensure safe, functional, and well-managed workplaces that enable employee productivity and support business needs Must have skills : Microsoft 365 Good to have skills : DevOps, Machine Learning (ML), Python (Programmi.

Role purpose As a Scorecard Developer, you'll develop and maintain credit scoring components and associated calibrations that support approval and risk strategies across products and markets. You'll focus on building high-quality features, ensuring scores are stable and explainable, and delivering robust PD-to-bad-rate calibrations that translate model outputs into decision-ready risk measures. Key responsibilities - Develop and maintain scoring solutions and supporting artefacts used in credit.

NVIDIA has continuously reinvented itself. Our invention of the GPU sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. Today, research in artificial intelligence is booming worldwide, which calls for highly scalable and massively parallel computation horsepower that NVIDIA GPUs excel. NVIDIA is a "learning machine" that constantly evolves by adapting to new opportunities that are hard to solve, that only we can address, and tha.

, India Job Family Group: Research and Development Worker Type: Regular Posting Start Date: June 1, 2026 Business Unit: Projects and Technology Experience Level: Experienced Professionals Job Description: Job Description: Data and Software Engineering in Data Science and Machine Learning drives business value through providing quality technical, functional and consulting expertise to deliver the right skills, at the right time, in the right place. In DSE Engineering you will have opportunities .

Job Purpose - Develop statistical learning models by using AI / ML Techniques - Identifying the Opportunities for Business growth - Support business in meeting the Budgets through Analytical Insights - Communicate results and ideas to key decision makers Key Accountabilities & requirements - Regular Portfolio Health Check-ups through Business Insights - Identifying areas of growth and areas of sluggishness within portfolio - Drive insight led actionables to help achieve portfolio targets - Supp.

Retail Business Services (RBS) supports Amazon's Retail business growth WW through three core tasks. These are (a) Selection, where RBS sources, creates and enrich ASINs to drive GMS growth; (b) Defect Elimination: where RBS resolves inbound supply chain defects and develops root cause fixes to improve free cash flow and (c) supports operational process for WW Retail teams where there is an air gap in the tech stack. The tech team in RBS develops automation that leverages Machine/Deep Learning .

Strong Data Scientist / AI Engineer / Generative AI Engineer profile. Mandatory (Experience 1) - Must have 3 years of hands-on experience in Data Science, Artificial Intelligence, Machine Learning, Deep Learning, NLP, or Generative AI application development. Mandatory (Experience 2) - Must have strong hands-on experience in Python programming, backend development, API development, and production-grade application support. Mandatory (Experience 3) - Must have experience working with Machine Lea.

Design, develop, and deploy machine learning and deep learning models. Analyze large and complex datasets to identify patterns and trends, perform statistical analysis, and implement predictive analytics solutions that support business decision-making and operational improvements across enterprise functions.

Design and develop software solutions, build statistical and machine learning models, perform data engineering activities, create data pipelines, conduct data analysis, and support dynamic pricing and revenue management use cases. Train and calibrate ML models, define KPIs, conduct research on new algorithms, and support deployment, testing, and production investigations.