Talent.com
No longer accepting applications
AI Devops Engineer

AI Devops Engineer

VerdantasLucknow, IN
14 hours ago
Job description

We at Verdantas are seeking an experienced and innovative AI DevOps Engineer to support the deployment, scaling, and monitoring of AI / ML models and infrastructure. This role bridges the gap between data science and operations, ensuring that machine learning workflows are automated, reproducible, and production ready.

Key Responsibilities

  • Design and maintain CI / CD pipelines for AI / ML model training, testing, and deployment.
  • Automate infrastructure provisioning using Infrastructure as Code (IaC) tools like Terraform or CloudFormation.
  • Manage containerized environments using Docker and Kubernetes, including GPU orchestration.
  • Collaborate with data scientists to productionize ML models using MLOps best practices.
  • Monitor model performance and system health using tools like Prometheus, Grafana, or ELK Stack.
  • Implement model versioning, experiment tracking, and reproducibility using tools like MLflow, DVC, or Kubeflow.
  • Ensure security, compliance, and scalability of AI workloads on cloud platforms (AWS, Azure, GCP).
  • Optimize compute resource usage and cost for training and inference workloads.

Required Skills & Qualifications :

  • Bachelor’s or master’s degree in computer science, Engineering, or a related field.
  • 3+ years of experience in DevOps, with at least 1–2 years supporting AI / ML workflows.
  • Proficiency in scripting languages (Python, Bash) and automation tools.
  • Experience with ML platforms and tools (e.g., MLflow, Kubeflow, SageMaker, Vertex AI).
  • Strong knowledge of containerization (Docker) and orchestration (Kubernetes).
  • Familiarity with CI / CD tools (Jenkins, GitHub Actions, GitLab CI).
  • Experience with cloud infrastructure (AWS, Azure, or GCP), especially GPU-based workloads.

    • Preferred Qualifications :

  • Experience with data pipeline orchestration tools (Airflow, Prefect, or Luigi).
  • Understanding of model monitoring, drift detection, and retraining strategies.
  • Knowledge of data governance, security, and compliance in AI systems.
  • Certifications in cloud platforms or MLOps tools.

    • Location and Work Set-up

  • Pune, Maharashtra, India
  • Work Mode : In Office
    • Create a job alert for this search

    Ai Engineer • Lucknow, IN