Lead Machine Learning Engineer
Tasks
- Apply LLM optimization techniques
- Architect agentic platforms
- Build scalable AI evaluation frameworks
- Deploy production generative AI solutions
- Design multi agent workflow solutions
- Enforce data privacy standards
- Ensure model predictability
- Ensure regulatory compliance
- Implement retrieval-augmented generation
- Integrate observability into solutions
- Mitigate model risk
- Monitor model performance
- Oversee AI system architectural design
- Partner with product teams to deliver AI use cases
- Provide technical leadership and code reviews
- Support auditability and explainability
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agent systems | Apache Spark | Azure | Cloud platform | Dask | Data Privacy | Distributed Computing | Generative AI | Google Cloud | Google Cloud Platform | High Availability | Java | LLM orchestration | Langchain | Langgraph | Language Models | Large Language Models | Llamaindex | Machine Learning | Model Evaluation | Model risk | Model risk governance | Multi-Agent | Multi-Agent Systems | Observability | Performance Engineering | PyTorch | Python | Retrieval-Augmented Generation | Risk governance | Scala | Scikit-learn | Security | TensorFlow | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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