AI Devops Engineer

Join Verdantas – A Top #ENR 81 Firm! We a t Verdanta s, looking for AI Devops Engineer to join our team The AI Devops Engineer will design and manage scalable, secure DevOps infrastructure and CI/CD pipelines that enable efficient application deployment, automation, monitoring, and operations across cloud environments. 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. Experience with data pipeline orchestration tools (Airflow, Prefect, or Luigi). Preferred 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.

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

Experience: 5-8 Years Location and Work Set-up Pune, Maharashtra, India Work Mode: In Office