Machine Learning Engineer
Tasks
- Build and optimize RAG pipelines
- Design, train, and evaluate AI models
- Develop evaluation frameworks
- Document model features limitations and design decisions
- Improve agent tool calling patterns
- Productionize ML applications
- Translate business problems into ML solutions
- Use prompt engineering for agents
Perks/Benefits
- N/A
Skills/Tech-stack
Agentic Workflows | Embeddings | Fine Tuning | Hugging Face | LLM orchestration | Langchain | Language Models | Language Processing | Large Language Models | Machine Learning | Model Evaluation | Natural Language | Natural Language Processing | Prompt engineering | PyTorch | Python | Retrieval-Augmented Generation
Education
N/A
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