Machine Learning Engineer, Human Centered AI - Evaluations & Insights
Tasks
- Assess hallucination risks
- Build MLops pipelines
- Build model as a judge workflows
- Create training signals for alignment
- Design evaluation frameworks
- Develop ML inference pipelines
- Develop internal ML automation tools
- Evaluate AI model performance
- Fine-tune foundation models
- Implement LLM evaluation workflows
- Translate failure modes into guardrails
Perks/Benefits
- N/A
Skills/Tech-stack
Direct Preference Optimization | Evaluation Frameworks | Fine Tuning | Hallucination detection | Hugging Face | Inference Pipelines | JAX | Language Models | Language Processing | Large Language Models | MLOps | MLflow | Machine Learning | Multimodal Models | Natural Language | Natural Language Processing | Preference optimization | Prompt engineering | PyTorch | Python | RAG | Reinforcement Learning | Retrieval-Augmented Generation | Semantic Search | Vector Databases | Weights and Biases
Education
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