Machine Learning Operations Engineer II
US - MA - CAMBRIDGE 44-48 BRATTLE ST, United States
USD 150K-190K (estimate) Entry-level Full Time
Tasks
- Adopt open source and third party solutions
- Automate model fine tuning and reinforcement learning pipelines
- Build ML tools services and frameworks
- Collaborate with ML engineers to address pain points
- Evaluate LLM and agent systems
- Improve LLM and agent observability
- Iterate on ML processes
- Monitor production performance decay and drift
- Provide training on ML best practices
- Track emerging ML tools and frameworks
Perks/Benefits
- 401k with employer matching
- Commuting and commuting benefits
- Medical/Dental/Vision insurance
- Mentoring
- Paid parental leave
- Professional education support
- Tuition assistance
- Unlimited paid time off
Skills/Tech-stack
AWS | Airflow | Amazon Bedrock | Amazon EKS | Amazon SageMaker | Distributed Systems | Distributed systems debugging | Git | GitHub | JSONNET | Kubernetes | Langfuse | Language Models | Language Processing | Large Language Models | Learning operations | Machine Learning | Machine Learning Operations | Model Evaluation | Natural Language | Natural Language Processing | Prometheus | PyTorch | Python | Ray | Reinforcement Learning | Scripting with Bash | Sentry | Systems debugging | Terraform | Weights and Biases
Education
N/A
Regions
Countries
States
Cities
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