AI and Machine Learning Jobs

Official listing start date October 12, 2026. Develop computer vision and machine-learning algorithms, neural networks, NLP and prediction models using Python/C++/Java, deep-learning frameworks and cloud platforms. Experience: 2–5 years. ...read more

Official careers listing dated October 12, 2026. AI/ML engineering role in Optum technology. ...read more

Build a reusable, MCP-native agent platform for enterprise software. Responsibilities include LLM orchestration, LangGraph workflows, RAG, governed data access, AWS deployment, evaluation, observability, and MLOps collaboration. ...read more

Senior AI/ML engineering leadership role. Review the official posting for responsibilities and eligibility. ...read more

Lead solution architecture and technical consulting for GenAI, RAG and agentic AI solutions across cloud, data and integration architecture. Partner with stakeholders on architecture choices and MLOps across AWS, Azure and GCP. ...read more

Own core backend services for data-intensive financial computation, building reproducible and auditable outputs. Design Python services, SQL/data models and configuration-driven systems with strong testing, reliability and multi-cloud deployment practices. ...read more

Develop and maintain backend applications using C#/.NET and SQL Server, with integration work across application services. The listing includes Angular and database technologies among its stack. ...read more

Build and maintain data-platform software and data pipelines for connected mobility and industrial products. Work across Python/Java/Scala, SQL, ETL, Azure and Databricks. ...read more

Lead development of scalable web applications and backend services using Java/Python, React and cloud platforms. Improve deployment and observability with microservices, CI/CD, AWS/Azure/GCP and monitoring tools. ...read more

Build graph-native models, embeddings and graph algorithms for fraud, collusion and identity-risk detection. Support statistical and deep-learning experiments using Python, SQL and cloud data platforms, and improve ML observability. ...read more