Senior Machine Learning Engineer

Qualifications

To be successful in this role you have:

• 5+ years of hands on experience in ML/AI engineering, with a strong focus on building and deploying AI/GenAI applications.
• Proficiency in Python (ML libraries, GenAI/LLM frameworks) and Java (enterprise application development, OOP).
• Practical experience developing with LLM frameworks such as LangChain, LangGraph, and vendor SDKs/APIs (OpenAI, Anthropic, etc.).
• Experience in using Al productivity tools such as Cursor, Windsurf, etc. is a plus or nice to have
• Experience with methods of training and fine-tuning large language models, such as distillation, supervised fine-tuning, and policy optimization is a plus or nice to have.
• Strong skills in prompt engineering and designing agentic reasoning pipelines.
• Solid understanding of ML evaluation techniques and experience in implementing model monitoring & metrics.
• Proven ability to debug and optimize inference pipelines for performance and cost efficiency.
• Strong problem solving skills with the ability to work in fast paced, agile development environments.
• Bonus: Contributions to open-source projects, blogs, or technical papers in LLM/GenA