MLOps & Devops Engineers

📋 Description

• Bridge data science research and AI engineering to ensure SDLC delivery.
• Design, implement, and maintain infra and automated pipelines for AI platforms and RAG pipelines at
• Focus on cloud infrastructure, CI/CD practices, and ML lifecycle challenges.

🎯 Requirements

• 3+ years in DevOps, SRE, or MLOps roles
• GCP proficiency; Terraform, GKE, firewalls, network policies
• Docker and Kubernetes expertise; GKE experience
• Python, GitHub Actions, Renovate, Sonar, Artifactory, Argo CD, Helm
• SQL/NoSQL databases, data orchestration (Airflow)
• Vertex AI, RAG pipelines, Qdrant, LangChain or LlamaIndex

🎁 Benefits

• Open to mid-senior level within Devoteam Data Driven units
• Culture of learning, innovation, and people-centric values