Machine Learning Engineer
Tasks
- Apply golden datasets and LLM as judge evaluation methods
- Assess grounding and multi turn interactions
- Build ML deployment pipelines and monitoring systems
- Build evaluation frameworks for ML and LLM systems
- Collaborate with cross-functional teams to deliver AI solutions
- Debug production ML performance and reliability issues
- Design and develop ML and GenAI systems with observability and reliability
- Develop AI model and evaluation APIs and services
- Run LLM behavioral evaluations for hallucination detection
- Support production systems and participate in on-call rotations
- Write automated Python testing frameworks
Perks/Benefits
- Holidays aligned with US calendar
- Independent contractor agreement
- Paid time off
- Remote work flexibility
Skills/Tech-stack
AI Governance | APIs | AWS | Agile | Algorithms | CI/CD | Data Structures | Databases | DeepEval | Distributed Systems | Docker | Functional testing | Generative AI | HTTP | Integration Testing | Java | Kubernetes | LLM Evaluation | Language Models | Large Language Models | Machine Learning | Monitoring | Observability | Python | RAG | Ragas | Responsible AI | Testing | Unit Testing
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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