AI / ML Engineer - Known
Tasks
- Deploy and monitor ML models in production
- Design multi stage matching systems
- Develop ML pipelines for ingestion feature generation training evaluation inference
- Implement guardrails for performance fairness and safety
- Integrate AI into user experience with cross functional teams
- Prototype agentic workflows for natural language and voice interactions
- Run offline and online experiments for model evaluation
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | Approximate Nearest Neighbor | B testing | Embeddings | Fairness | Hugging Face | Human-in-the-loop | Information Retrieval | JAX | Language Models | Large Language Models | MLOps | Model Monitoring | Nearest neighbor | Preference Modeling | PyTorch | Python | Recommender Systems | Reinforcement Learning | Safety | TensorFlow | The Loop
Education
N/A
Regions
Countries
States
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