Top AI & Machine Learning Jobs

Designs, builds, deploys, and supports AI assistants, agents, and automation solutions. Responsibilities include developing agentic workflows, Python microservices, LLM/RAG retrieval pipelines, prompt-engineering patterns, testing, debugging, performance tuning, security patching, observability, documentation, on-call operations, and incident reviews. The role partners with product, cloud, security, and AI teams to deliver secure, scalable digital solutions and mentors engineers across the product lifecycle.

Design, build, deploy, and support production-grade AI assistants, agents, and automation using Python microservices, LLM/RAG/agent workflows, vector search, and cloud services. Implement prompt engineering, retrieval pipelines, CI/CD, monitoring, runbooks, and ensure security, governance, and Responsible AI compliance while partnering with cross-functional teams in Agile delivery.

Lead design, development, and deployment of AI/ML models (forecasting, optimization, RL, generative AI) for pricing and promotion. Extract and integrate complex data, monitor model performance, establish AI engineering patterns, document code, and communicate results to technical and non-technical stakeholders to operationalize models across the supply chain.

Designs, develops and maintains AI-enabled software solutions with emphasis on Generative AI, LLMs and agent-based systems. Owns end-to-end delivery including architecture, coding, testing, deployment automation, monitoring, and Responsible AI practices while collaborating with cross-functional teams.

Designs, develops, tests, and maintains software applications with a focus on integrating AI capabilities. Collaborates with cross-functional teams, automates deployments, writes unit and integration tests, debugs moderately complex issues, documents systems, and supports production applications. Contributes to continuous improvement and participates in code reviews.

Design, develop, and maintain scalable software and AI-enabled solutions. Lead automation, deployment, testing, debugging, documentation, and technical support. Collaborate with product, design, and engineering teams to deliver AI-driven full‑stack applications and improve development and deployment processes.

Design, build, deploy, and support AI-powered applications and intelligent automation across APAC. Develop LLM/GenAI solutions, RAG and agent workflows, integrate AI with enterprise systems (SAP/ERP/CRM), implement APIs/microservices, and apply MLOps/LLMOps for production monitoring, model versioning, and optimization.