AI Devops Engineer

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We at Verdantas, 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