Lead MLOps & DevOps Engineer for Generative AI
United States Digital Space LLC
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Benefits offered by this job
Job summary
the company is a global analytics software company seeking a Lead MLOps/DevOps Engineer to drive production readiness of Generative AI workloads. You’ll design scalable ML pipelines, containerized services, and cost-aware Kubernetes deployments on AWS, collaborating with data scientists and engineers to accelerate AI initiatives.
You will deploy, monitor, and optimize production systems, enabling robust model training, validation, and deployment processes while upholding security and governance
Qualifications
- 8+ years in DataOps or MLOps
- 3+ years in ML model operationalization and automation
- Bachelor’s degree or equivalent experience
Responsibilities
- Design, build, and maintain scalable ML pipelines and infrastructure
- Automate infra provisioning using IaC and cloud-native services
- Manage Kubernetes clusters (EKS) and cloud environments
- Implement observability for ML data pipelines and services
- Operationalize ML models with CI/CD pipelines and drift monitoring
- Collaborate with Data Scientists to productionize models
- Ensure security, governance, and cost efficiency of cloud infra
Skills
Education
Tools
Job description
the company is a global analytics software company seeking a Lead MLOps/DevOps Engineer to drive production readiness of Generative AI workloads. You’ll design scalable ML pipelines, containerized services, and cost-aware Kubernetes deployments on AWS, collaborating with data scientists and engineers to accelerate AI initiatives.
You will deploy, monitor, and optimize production systems, enabling robust model training, validation, and deployment processes while upholding security and governance
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