Senior ML Ops Architect Scale Production Pipelines (Remote)
Pragmatike
Cambridge (MA)
Hybrid
USD 120,000 - 160,000
Full time
14 days+
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Benefits offered by this job
Competitive salary & equity options
Sign-on bonus
Health, Dental, and Vision
401k
Job summary
Pragmatike is seeking a Staff / Principal ML Ops Engineer in Cambridge, MA. This key role involves leading the design and scaling of the company's ML infrastructure and AI systems. Candidates should have extensive experience with production ML systems and be proficient in cloud infrastructure, Python, and container orchestration. Competitive salary, equity options, and benefits are offered, including health and 401k plans. Relocation options or remote work available for out-of-state applicants.
Qualifications
Hands-on experience designing and operating production ML systems at scale.
Strong background in ML Ops and distributed systems.
Proficiency with Python and familiarity with TypeScript or Go.
Responsibilities
Architect and scale the end-to-end ML Ops pipeline.
Design reliable infrastructure for model deployment.
Collaborate with researchers to productionize models.
Skills
ML Ops
Distributed systems
Cloud infrastructure
Python
Containerization
Orchestration
Tools
Kubernetes
Docker
AWS
GCP
Azure
Job description
Pragmatike is seeking a Staff / Principal ML Ops Engineer in Cambridge, MA. This key role involves leading the design and scaling of the company's ML infrastructure and AI systems. Candidates should have extensive experience with production ML systems and be proficient in cloud infrastructure, Python, and container orchestration. Competitive salary, equity options, and benefits are offered, including health and 401k plans. Relocation options or remote work available for out-of-state applicants.