Associate Director, MLOps Engineering
Boston (Onsite) Preferred, New York (Onsite), or Remote
R
USD 181K-278K Mid-level Full Time Found 11d ago
Tasks
- Architect compute and storage pipelines
- Conduct technology assessments and stack refreshes
- Develop and execute MLOps strategy
- Establish system observability metrics
- Lead and mentor engineering team
- Modernize inference stack
- Partner with cross-functional teams
Perks/Benefits
- N/A
Skills/Tech-stack
AI Assistants | AWS | Airflow | Azure | Cloud Computing | Data Management | DevOps | Distributed Systems | GCP | Helm | High scale | High-scale ML | High-scale ML training | Inference workloads | Kubeflow | Kubernetes | ML training | Petabyte data management | Scalable infrastructure | Service architecture | Terraform | Workflow Orchestration
Education
Bachelor's | Engineering | Master's in Computer Science | Or related field
Regions
Countries
States
Cities
Language: en |
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