Key Responsibilities
- Provide continuous support for models deployed in production applications, ensuring stability and performance
- Collaborate with internal clients to gather requirements and align technical teams toward delivery
- Plan, coordinate, and execute hands-on support during release windows
- Implement solutions with model governance, risk management, and regulatory adherence as top priorities
- Design, build, orchestrate, and deploy machine learning models leveraging generative AI and LLMs
- Develop and optimize RAG solutions for production environments
Requirements
- 5+ years of experience in machine learning, with a focus on generative AI and LLMs
- Hands-on experience implementing production solutions using GPT 5.x and LangChain
- Strong understanding of RAG and RAGAS methodologies and their applications
- Bachelor's degree in a technical field (required)
- Experience with model governance, risk management, and regulatory compliance in AI systems