Lead Machine Learning Engineer
New York, NY, United States
USD 167K-240K (estimate) Senior-level Full Time
Tasks
- Apply prompt engineering and fine-tuning
- Automate client onboarding with LLM systems
- Build LLMOps infrastructure using modern development tools
- Build scalable LLMOps pipelines
- Collaborate with implementation teams to identify product gaps
- Create LLM evaluation and monitoring frameworks
- Deploy maintain and monitor LLM services
- Design and implement high performance LLM applications
- Design scalable LLM powered solutions
- Develop RESTful APIs and GraphQL services
- Develop and prioritize LLM product roadmaps
- Document and communicate technical design decisions
- Drive innovation in generative AI and prompt engineering
- Evaluate models using A B testing and observability
- Implement Retrieval-Augmented Generation architectures
- Integrate LLM applications into product architecture
- Lead design and architecture of LLM solutions
- Manage cloud deployments and monitoring
- Provide technical leadership and mentorship
- Use vector databases for enhanced model performance
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agile | Ansible | Azure | CI/CD | ChromaDB | Docker | DynamoDB | Evaluation Frameworks | Fine Tuning | Git | Go | GraphQL | Jenkins | Kanban | Kubernetes | LLMOps | Langchain | Language Models | Large Language Models | Lean | Llamaindex | Monitoring | MySQL | NoSQL | Node.js | Observability | Pinecone | Prompt engineering | Python | RDBMS | REST APIs | Retrieval-Augmented Generation | Scrum | Vector Databases | Weaviate
Education
N/A
Regions
Countries
States
Cities
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