Join Verdantas – A Top #ENR 81 Firm!
We a
t 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
