Remote Senior MLOps Platform Engineer for AI Services
Danbury Mission Technologies
14 days+
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Benefits offered by this job
Job summary
A leading technology company is looking for a MLOps Engineer to develop a unified MLOps platform for Kubernetes and AWS. You will design CI/CD pipelines and monitoring stacks for AI services. Ideal candidates have 5+ years in software infrastructure, expertise in Kubernetes, AWS, and proficiency in Python. The role is remote, supporting various U.S. locations, and offers flexible scheduling, competitive benefits including comprehensive insurance, 401k, and generous vacation policies.
Qualifications
- 5+ years of experience building and operating production grade software infrastructure, preferably in a hybrid onprem / cloud environment.
- Deep expertise with Kubernetes and container runtimes.
- Hands on experience with AWS services and bridging onprem resources.
Responsibilities
- Design and operate a unified MLOps platform for Kubernetes clusters and AWS.
- Develop CI/CD pipelines for model packaging and testing.
- Create monitoring stacks for real-time and batch workloads.
Skills
Kubernetes
AWS services
Python programming
CI/CD tooling
Distributed systems
Data engineering frameworks
Observability stacks
Education
BS in computer science or related engineering field
Tools
GitLab CI
Docker
Prometheus
Grafana
Job description
A leading technology company is looking for a MLOps Engineer to develop a unified MLOps platform for Kubernetes and AWS. You will design CI/CD pipelines and monitoring stacks for AI services. Ideal candidates have 5+ years in software infrastructure, expertise in Kubernetes, AWS, and proficiency in Python. The role is remote, supporting various U.S. locations, and offers flexible scheduling, competitive benefits including comprehensive insurance, 401k, and generous vacation policies.
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