MLOps Engineer – Level I (Python | GCP/AWS)
Core
Building and automating ML workflows, model deployments, and infrastructure for production environments.
Role type
MLOps Engineer (IC)
Builds
Automated ML pipelines, deployment tools, and operational reporting systems.
Domain
Cloud infrastructure and Machine Learning operations
Deliverable
production ML models
Required skills
Python, CI/CD pipelines, Infrastructure as Code (Terraform), Kubernetes, Vertex AI/SageMaker, SQL, unit testing
Preferred skills
Go, Java, GenAI tools, eCommerce platforms
Technologies
Python, Go, Java, Terraform, Kubernetes, Vertex AI, Amazon SageMaker, BigQuery, Looker, Tableau
Responsibilities
Build automation tools for ML workflow orchestration and model deployments; Automate infrastructure deployments using IaC; Troubleshoot production ML workflow issues; Generate operational reporting pipelines; Collaborate with Data Scientists to integrate ML workflows; Work cross-functionally to support global ML systems.
Seniority
Junior to Mid-level, hands-on IC
