MLOps Engineer

Role Overview

We are looking for a dedicated MLOps Engineer to join our talent network. This role involves managing the lifecycle of machine learning models, ensuring seamless deployment, and automating pipelines within a high-scale environment. The position is available in various locations across India including Bengaluru, Hyderabad, Chennai, Pune, Mumbai, Gurugram, Noida, or via Remote options.

Responsibilities

• Automate and manage machine learning pipelines and model deployment processes.
• Implement robust model serving and versioning strategies.
• Maintain monitoring and observability frameworks for production models.
• Ensure secure and scalable infrastructure using cloud computing and IaC.
• Collaborate on building reliable CI/CD workflows for ML lifecycles.

Requirements

• 2-10 years of relevant experience in MLOps or DevOps roles.
• Educational background in B.E., B.Tech, M.Tech, MCA, M.Sc (Computer Science, IT, AI, or Data Science).
• Strong problem-solving skills and ability to work in an onsite or hybrid environment.
• Ability to join immediately is preferred.

Skills

• Python
• Kubernetes
• AWS
• Docker
• MLflow

Nice to Have

• Experience with Kubeflow, Airflow, or DVC.
• Knowledge of Jenkins, GitHub Actions, or GitLab CI.
• Familiarity with SageMaker, Vertex AI, or Databricks.
• Proficiency in Prometheus, Grafana, or Kafka.