Machine Learning Engineer
Tasks
- Analyze qualitative findings
- Architect evaluation frameworks
- Build training signals for fine tuning
- Collaborate cross functionally to ensure reliability safety and alignment
- Design MLOps pipelines for model assessment
- Develop LLM evaluation workflows
- Evaluate AI models
- Interpret unstructured model outputs
- Optimize generative AI systems
- Translate failure modes into guardrails
Perks/Benefits
- N/A
Skills/Tech-stack
DPO | Deep learning | DeepEval | Fine Tuning | G-Eval | Hallucination detection | Hugging Face | JAX | LLM Evaluation | LLM-as-a-Judge | MLOps | MLflow | Machine Learning | NLP | Prompt engineering | PyTorch | Python | RLHF | Retrieval-Augmented Generation | SelfCheckGPT | Semantic Search | Text processing | Vector Databases | Weights and Biases
Education
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