Senior MLOps/AI Engineer
Tasks
- Build reusable components
- Communicate and collaborate across teams
- Deploy and test machine learning models as containerized services
- Design and implement MLOps pipelines
- Design and implement model monitoring
- Ensure compliance with HIPAA requirements
- Integrate machine learning pipelines into other systems
- Simplify workflows and automate tasks
- Support human in the loop retraining
Perks/Benefits
- 401k matching
- Dental insurance
- Disability insurance
- Employee stock purchase plan
- FSA
- Flexible schedule
- HSA
- Health insurance
- Life insurance
- Paid parental leave
- Paid time off
- Vision insurance
Skills/Tech-stack
API Development | AgenticAI Ops | Automation | Containerization | Data Pipelines | Data Versioning | DevOps | Docker | Kubernetes | LLMOps | MLOps | Machine Learning | Model Monitoring | Object storage | Python | Relational databases | Statistics
Education
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