Senior Machine Learning Engineer - Generative AI & Full-Stack Applications
Work At Home-Illinois, United States
USD 83K-222K Senior-level Full Time
Tasks
- Apply input output validation
- Apply policy filtering
- Build and tune RAG pipelines
- Collaborate with product design security and platform teams
- Create evaluation suites
- Deliver features with test automation
- Document tradeoffs and implementation plans
- Ensure operational readiness
- Follow platform deployment standards
- Implement AI guardrails
- Implement AI powered services
- Implement prompt patterns
- Improve reliability after incidents
- Improve reliability using root cause analysis
- Instrument metrics traces logs dashboards
- Integrate enterprise data with LLMs and ML models
- Maintain documentation
- Manage versioning and monitoring
- Mentor engineers
- Optimize latency throughput caching and model selection
- Participate in incident response
- Perform code reviews
- Perform performance troubleshooting using telemetry
- Propose solution design approaches
- Run regression testing
- Set up CI/CD pipelines
- Use data protection patterns
Perks/Benefits
- Dental insurance
- Medical insurance
- Paid time off
- Retirement savings
- Vision insurance
- Wellness programs
Skills/Tech-stack
API Development | Backend Engineering | CI/CD | Caching | Cause analysis | Code review | Containerization | Dashboards | Data Protection | Evaluation | Generative AI | Guardrails | Input Output | Input output validation | Kubernetes | LLM | Language Models | Large Language Models | Latency optimization | Logging | Machine Learning | Metrics | Model selection | Observability | Output Validation | Performance optimization | Policy filtering | Prompt engineering | RAG | Regression testing | Root Cause Analysis | Root cause | Security Compliance | Test automation | Throughput Optimization | Tracing
Education
Bachelor of Engineering | Bachelor of Science | High School Diploma
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