Principal ML Engineer, Machine Learning Platform and Systems Architecture
AMER - United States - Massachusetts - Boston - Drydock, United States
R
USD 152K-272K Senior-level Full Time
Tasks
- Architect distributed data processing and orchestration systems
- Communicate technical strategy and execution plans
- Design distributed training and data processing systems
- Design model deployment and inference services
- Develop ML ready representations for geometry graph hierarchical multimodal data
- Develop data pipelines for large scale datasets
- Establish data lineage provenance governance
- Implement monitoring and observability for production ML
- Lead ML platform architecture and delivery
- Lead incident response for critical platform issues
- Manage feature and model lifecycle
- Mentor engineers through technical reviews and coaching
- Own platform outcomes from design through deployment
Perks/Benefits
Skills/Tech-stack
Airflow | Apache Spark | Data Governance | Data Lineage | Data Pipelines | Data Processing | Data provenance | Distributed Systems | Feature Engineering | Inference | Kubernetes | Lifecycle Management | Machine Learning | Machine Learning Infrastructure | Model Deployment | Model Lifecycle | Model Lifecycle Management | Production observability | Python | Ray | Software Architecture
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
Cities
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