Senior Machine Learning Engineer
Tasks
- Architect multi step agent workflows
- Collaborate cross functionally to integrate AI capabilities
- Define and measure quality metrics
- Design deploy and optimize LLM powered systems
- Develop evaluation strategies for non deterministic systems
- Diagnose and mitigate model failure modes
- Improve reasoning planning and tool use capabilities
- Lead design and development of AI agents
- Mentor engineers and shape AI system roadmap
- Optimize systems for scalability latency security and cost
Perks/Benefits
Skills/Tech-stack
Agent systems | Cloud infrastructure | Distributed Systems | Embeddings | Evaluation | Generative AI | Hugging Face | Language Models | Language Processing | Large Language Models | Machine Learning | Multi-Agent | Multi-Agent Systems | NLP | Natural Language | Natural Language Processing | Online Experimentation | Prompt engineering | PyTorch | RAG | Retrieval-Augmented Generation | TensorFlow | Transformers
Education
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