Onelab Ventures - DevOps / MLOps Engineer

Description

We are looking for a skilled DevOps Engineer with strong MLOps expertise to join our team. The ideal candidate will have hands-on experience in AWS Cloud, scripting, and automation, along with proven skills in deploying and managing machine learning pipelines in production.

Key Responsibilities

• Design, implement, and maintain CI / CD pipelines for ML model training, testing, and deployment.
• Manage containerization & orchestration using Docker and Kubernetes.
• Automate infrastructure provisioning using Implement and manage MLOps tools (Kubeflow, MLflow, Airflow, SageMaker, etc.).
• Ensure scalability, reliability, and monitoring of ML / AI production systems.
• Work closely with data scientists and ML engineers to operationalize ML models.
• Develop automation scripts in Python / Bash to streamline workflows.
• Implement and manage AWS cloud services (EC2, S3, EKS / ECS, Lambda, RDS, IAM, Secrets Manager).
• Ensure compliance with security, cost optimization, and performance best practices.

Required Skills & Experience

Good To Have

(ref : hirist.tech)

Skills Required

Docker, Aws Cloud, Bash, Python, Kubernetes