Senior ML Engineer - Search & LLM Ops

Sourced from ravenpack.teamtailor.com

• Lead end-to-end design, development, and deployment of advanced ranking algorithms and retrieval models.
• Fine-tune and distill Language Models to enhance domain-specific expertise and implement semantic embedding techniques (binary, matryoshka, late interaction).
• Architect and implement sophisticated recommender systems for personalized content discovery.
• Collaborate with product managers, software engineers, and data scientists to translate business needs into technical solutions.
• Research and prototype emerging trends in ML, NLP, and Information Retrieval.

• Master’s or PhD in Computer Science, Machine Learning, Data Science, or a related quantitative field.
• 3+ years of hands-on professional experience building and deploying ML models in production, with significant focus on Information Retrieval, Search, or Recommender Systems.