MLOps Engineer

 Location: Delhi NCR

 Experience: 5+ Years

 Engagement Type: Contract – 10 months (High likelihood of extension)

 Qualification: B.Tech (or equivalent) in Computer Science or related field

We are seeking an experienced MLOps Engineer to design, build, and manage scalable, secure, and highly available infrastructure for machine learning platforms. The ideal candidate will have strong DevOps expertise, hands-on AWS cloud experience, and a solid understanding of ML workflows and large-scale operations.

• Design, build, and manage AWS cloud infrastructure supporting ML workloads.
• Develop and maintain CI/CD pipelines for ML model training, deployment, and monitoring.
• Deploy and manage containerized applications using Docker and Kubernetes.
• Support container runtime environments; ROSA exposure is an added advantage.
• Collaborate with data scientists and ML engineers to productionize ML models.
• Manage Linux-based systems, GPU workloads, and large-scale ML operations.
• Implement Infrastructure as Code (IaC) using Terraform, Terragrunt, and Chef.
• Monitor and optimize system performance using Prometheus, Grafana, and ELK stack.
• Troubleshoot and resolve infrastructure and deployment issues.
• Ensure security, scalability, and reliability best practices.

• B.Tech (or equivalent) in Computer Science or related field.
• 5+ years of hands-on DevOps / MLOps experience.
• Strong experience with AWS cloud infrastructure.
• Proficiency in Docker, Kubernetes, and container orchestration.
• Strong scripting skills in Python, Go, Bash, or Ruby.
• Hands-on experience with Terraform, Terragrunt, and Chef.
• Good understanding of ML techniques, Linux systems, GPUs, and large-scale operations.
• Experience with monitoring tools such as Prometheus, Grafana, and ELK stack.
• Strong problem-solving, communication, and collaboration skills.

• Experience with ROSA (Red Hat OpenShift on AWS).
• Experience scaling systems like Elasticsearch, Kafka, HBase, and Spark.
• Exposure to production ML environments and model lifecycle management.

• Please submit your resume and a brief cover letter highlighting your relevant experience and skills to resourcing@bitsatom.com