Senior Machine Learning Engineer - Generative AI & Full-Stack Applications
Work At Home-Illinois, United States
USD 83K-222K Senior-level Full Time
Tasks
- Build and tune RAG pipelines
- Collaborate with product design security and platform teams
- Deliver features with test automation and code review
- Develop evaluation suites and regression testing
- Follow deployment versioning and monitoring standards
- Implement AI powered services
- Implement guardrails and security controls
- Implement prompt patterns
- Instrument metrics traces logs dashboards
- Integrate enterprise data with LLMs and ML models
- Mentor engineers and share learnings
- Optimize performance and cost
- Participate in incident response
- Propose solution designs and document tradeoffs
- Support production operations
Perks/Benefits
- Dental insurance
- Medical insurance
- Paid time off
- Retirement savings
- Vision insurance
- Wellness programs
Skills/Tech-stack
API Development | Backend Development | CI/CD | Caching | Cause analysis | Containerization | Cost Optimization | Dashboards | Data Protection | Generative AI | Input validation | Kubernetes | Language Models | Large Language Models | Latency optimization | Logging | Machine Learning | Metrics | Model Evaluation | Operational Readiness | Output Validation | Performance optimization | Policy filtering | Prompt engineering | Regression testing | Retrieval-Augmented Generation | Root Cause Analysis | Root cause | Test automation | Throughput Optimization | Tracing
Education
Bachelor of Engineering | Bachelor of Science | High School Diploma
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