Senior AI/ML Engineer

Design, develop, and deploy advanced machine learning models including supervised, unsupervised, reinforcement learning, deep learning, and NLP techniques for production environments.

Build and optimize generative AI solutions such as Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), transformer architectures, using frameworks like LangGraph and LangChain.

Implement containerized AI/ML solutions with Docker and Kubernetes, establish CI/CD pipelines for automated deployment, and manage cloud services on Azure and AWS for scaling and migration.

Undergraduate degree or equivalent experience.

8+ years total software engineering and AI/ML experience.

3+ years hands-on experience developing and deploying AI projects in production.

Proven expertise in containerizing AI/ML projects and maintaining CI/CD pipelines; familiarity with cloud platforms Azure and AWS.

Experienced senior AI/ML engineer competent in deploying scalable, production-grade AI systems integrating modern ML approaches and cloud services.

Practitioner skilled in generative AI, especially with LLMs and related frameworks, able to customize and optimize models including prompt engineering.

Capable of designing robust automated pipelines and managing complex cloud infrastructure for AI/ML workloads, with a security and governance focus.