We are seeking an experienced AI - DevOps Engineer to design, implement, and maintain robust and scalable DevOps pipelines specifically tailored for AI/ML workloads. The role bridges the gap between Data Science and IT operations, ensuring smooth deployment, monitoring, and scaling of machine learning models in production.

Key Responsibilities:

• Design and implement CI/CD pipelines for ML model development and deployment.
• Deploy and monitor machine learning models using tools like MLflow, Kubeflow, or Seldon Core.
• Containerize AI workloads using Docker and manage orchestration with Kubernetes.
• Automate infrastructure provisioning using Terraform, Ansible, or similar tools.
• Manage data and model versioning using DVC, MLflow, or Git.
• Collaborate with Data Scientists, Engineers, and QA teams to ensure reproducible and scalable workflows.
• Ensure real-time and batch inference systems are optimized for performance and cost.
• Monitor production workloads using Prometheus, Grafana, ELK Stack, or Datadog.
• Enforce DevSecOps practices, managing access, secrets, and compliance.
• Troubleshoot and resolve production issues quickly and effectively.

Education Level : Bachelor's Degree

Technical Education : N/A

Certificate : TOT Certified in AI - DevOps Engineer

Industrial Certificate : Experience

Key Skills
AI/ML Specific Skills, Soft Skills, Adaptability, DevOps Skills, Problem Solving skills, Teamwork.

Other Skills
Problem Solving

• English - Reading, , Speaking
• Hindi - Reading, , Speaking