(Associate) Consultant MLOps Engineering (m/w/d)
Core
Build and operate MLOps infrastructure, automation solutions, and platforms to support the end-to-end machine learning lifecycle for client projects.
Role type
Associate Consultant MLOps Engineer
Builds
MLOps platforms, CI/CD pipelines, and automation workflows for client ML deployments
Domain
MLOps, DevOps, Cloud Infrastructure
Deliverable
production ML models
Required skills
Python, Bash/Shell scripting, Docker, Kubernetes, GitOps, CI/CD, MLOps platforms (MLflow, Kubeflow), Cloud platforms (AWS, Azure, GCP) (via careerplan.io/jobs/13644-304558-S-associate-consultant-mlops-engineering-mwd-at-comma-soft)
Preferred skills
Experience with MLOps platforms like Azure ML, practical experience with cloud Kubernetes services (EKS, AKS, GKE)
Responsibilities
Design and implement MLOps infrastructure and automation solutions; Build platforms and pipelines; Support Data Science teams in deploying ML models; Integrate MLOps tools into CI/CD processes; Implement GitOps practices; Set up monitoring and logging solutions; Collaborate on DevSecOps practices
Seniority
Associate, hands-on IC