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Build and deploy AI-native applications using LLMs, RAG, and agentic workflows in Java/Spring Boot and React, integrating with enterprise systems and cloud-native platforms.
Lead the product strategy for Hearst’s enterprise AI content platform, defining semantic search, vector embeddings, and knowledge-graph capabilities that power AI-driven search, personalization, and generative applications across media and advertising.
ABOUT EVERNORTH: Evernorth ℠ exists to elevate health for all, because we believe health is the starting point for human potential and progress. As champions for affordable, predictable and simple health care, we solve…
About the Role The Hearst Corporate Data Team is seeking a Senior Product Manager, AI Content Platform to lead the strategy, development, and evolution of Hearst's enterprise AI content platform. Reporting to the…
Join the Global Services Insights & Analytics team and help transform data into actionable insights. You will collaborate with senior leaders and cross-functional partners to improve operational performance,…
Senior Data Scientist / ML Engineer (Generative AI) Experience: 5–10 years Location: Onsite / Offshore (Flexible) Primary Objective We are seeking a Senior Data Scientist / ML Engineer specializing in Generative AI to…
Build AI coding agents and retrieval services that analyze large codebases, improving agent speed and task performance for JetBrains’ developer tools using Python/Kotlin and LLM prompt engineering.
Build and maintain cloud-based data platforms and AI solutions, integrating heterogeneous data sources to enable advanced analytics, Generative AI, and machine-learning use cases for supply-chain and industrial clients.
Build full-stack features using React/Next.js, TypeScript, and Postgres/Supabase, integrating AI agents and LLM/MCP-based tools for a fintech platform serving banks and funds.
Lead a team building and scaling Fitch’s core data and ratings platform using Java, Python, AWS, and Kafka, while integrating AI/ML to enhance data solutions and developer productivity.
The Role This is a software engineering role first and foremost. You'll build and ship product capabilities across our platform — and a meaningful part of your work will be AI-powered features, which is why…
Design and govern enterprise-scale AI-ready data platforms using Azure Databricks, Snowflake, and Delta Lake to enable analytics, GenAI, and ML workloads.
Build and deploy ML systems for sports-tech products, including recommender engines, NLP, LLM apps, and semantic search, using Python, PyTorch, and SQL at scale.
Designs and governs enterprise-scale data platforms using Azure Databricks, Snowflake, and Lakehouse architecture to enable AI, analytics, and GenAI workloads.
Build AI-powered assistants and agents to automate IT infrastructure operations, troubleshooting, and engineering productivity using Python, RAG, and cloud-native tools.
Build and maintain full-stack applications with AI capabilities, using modern AI tools and LLMs to prototype, deploy, and secure enterprise software for mortgage-related workflows.
Build and deploy AI-powered applications (LLMs, agents, RAG) using Databricks and modern frameworks to automate workflows and enhance decision-making across SEGA’s games business.
Design and build AI/ML solutions, including RAG systems and agentic workflows, using Python and cloud services while collaborating in an agile environment.
Principal Data Engineer designs and leads enterprise-scale data and AI platforms using Azure, Databricks, and Microsoft Fabric, ensuring scalable, governed solutions for healthcare analytics and generative AI.
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the…
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