AI and Machine Learning Jobs

Design platform architectures for sports, media and entertainment systems and guide delivery from discovery through production. ...read more

Build production generative-AI solutions on Azure AI Foundry, including RAG pipelines, AI agents, document ingestion, embeddings, vector indexing and evaluation. Develop Python APIs and integrate Azure OpenAI, Azure AI Search and classical ML components. ...read more

Design and deliver scalable generative-AI and agentic solutions on Azure AI Foundry. Own RAG and multi-agent architecture, evaluation, LLMOps/MLOps, cost and latency optimization, technical reviews and mentoring while partnering with client stakeholders. ...read more

Build software infrastructure that enables scientists to develop, productionize and monitor machine-learning solutions across NLP, recommender systems, computer vision and optimization. Design scalable distributed data systems and model-supporting services. ...read more

Build and operate production machine-learning components in the search-serving path. Scale ML and LLM pipelines, model-serving infrastructure and offline evaluation while optimizing latency, cost, reliability and observability. ...read more

Develop AI applications, intelligent agents, RPA bots and workflow automation. Build document-understanding and information-extraction capabilities, integrate APIs and enterprise applications, and support cloud deployment, testing, monitoring and production reliability. ...read more

Design scalable backend services and advanced generative-AI solutions, including LLM integrations and agentic workflows. Build cloud-native distributed systems using Node.js, NestJS and TypeScript, with RAG and model-serving components. ...read more

Design and deliver Java and Spring Boot backend services, REST APIs and microservices for SAP cloud software. Own features through testing and production, improve scalability and reliability, and contribute to CI/CD and engineering quality. ...read more

Design and deliver production AI applications, intelligent agents and end-to-end automation workflows. Own technical designs, enterprise integrations, cloud deployments, AI evaluation, CI/CD, monitoring and security; provide code reviews and developer guidance. ...read more

Build and maintain authorization services for GitLab APIs, including fine-grained permissions, GraphQL and REST enforcement, and a Rails/Rust authorization stack. Improve correctness, security, reliability and performance in production backend systems. ...read more