Senior ML Engineer - Search & LLM Ops
Tasks
- Architect search and recommendation intelligence
- Build and scale recommender systems
- Collaborate with product managers and engineers
- Fine tune and distill language models
- Implement semantic embedding techniques
- Lead ranking algorithm design development deployment
- Own end-to-end machine learning lifecycle
- Prototype new ideas for competitive edge
- Research and evaluate ML NLP and information retrieval trends
Perks/Benefits
Skills/Tech-stack
Hugging Face | Information Retrieval | Language Processing | MLOps | Machine Learning | Natural Language | Natural Language Processing | PyTorch | Python | Recommender Systems | SQL | Scikit-learn | Semantic Search | TensorFlow | Vector Databases
Education
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