Senior Machine Learning Operations Engineer
Boston, Massachusetts, United States
R
USD 144K-181K Senior-level Full Time
Tasks
- Build and maintain data pipelines
- Build and maintain inference APIs
- Contribute to ML platform enhancements
- Deploy machine learning models to production
- Design and build agentic AI systems
- Design scalable and robust ML systems with data scientists
- Develop in house AI and ML tools and libraries
- Develop production training jobs
- Enhance and maintain cloud hosted machine learning platform
- Integrate multi modal AI capabilities into production systems
- Own and maintain ML engineering infrastructure components
Perks/Benefits
- Career Development Programs
- Commuting cost coverage
- Daily free lunch
- Employee equity
- Employee resource groups
- Flexible time off
- Hybrid work model
- Meditation and fitness apps
- New car discount
Skills/Tech-stack
API Development | AWS SageMaker | Agentic AI | Classification | Computer Vision | Containerization | Docker | Git | GitHub Actions | Language Models | Language Processing | Machine Learning | Model Deployment | Model Evaluation | Model Monitoring | Model Training | Multi-Modal | Multi-modal AI | Natural Language | Natural Language Processing | NumPy | Object-Oriented | Object-oriented design | Pandas | PyTorch | Python | Regression | SQL | Scikit-learn | Snowflake | Unit Testing | XGBoost
Education
N/A
Regions
Countries
States
Cities
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