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Machine Learning Operations engineer - IT Jobs

  5+ Years
 35,000 – 45,000 (based on experience)
  Sholinganallur, Chennai

We are hiring a skilled ML Ops Engineer for our client company based in Chennai (Sholinganallur). This is an exciting opportunity for professionals with a strong DevOps background in Machine Learning systems to join a cutting-edge team working on scalable AI/ML solutions in the cloud.

Position : Permanent
Location : Sholinganallur, Chennai
Salary : 35,000 – 45,000 (based on experience)

Job Details:

Key Responsibilities:

  1. Design and build scalable and reliable ML pipelines and deployment frameworks.

  2. Manage end-to-end lifecycle of machine learning models: versioning, deployment, monitoring, and rollback.

  3. Automate deployment processes using CI/CD tools (Jenkins, GitLab, etc.).

  4. Containerize ML applications using Docker and manage orchestration via Kubernetes.

  5. Build and manage cloud infrastructure across AWS, GCP, and Azure.

  6. Work with ML tools and frameworks such as MLflow, TensorFlow, Kubeflow, and more.

  7. Monitor model performance and handle issues like model drift and performance degradation.

  8. Collaborate closely with Data Science, DevOps, and Infrastructure teams.

  9. Optimize resource utilization and ensure cost-effective operations in multi-cloud environments.


Required Skills & Qualifications:

  1. 5+ years of experience in MLOps or DevOps roles supporting machine learning projects.

  2. Hands-on experience with at least two cloud platforms among AWS, Azure, and GCP.

  3. Proficient in Python and familiar with ML libraries like TensorFlow, Scikit-learn, etc.

  4. Strong expertise in Docker and Kubernetes.

  5. Proven experience in building and managing CI/CD pipelines.

  6. Knowledge of model management tools such as MLflow, TensorFlow Serving.

  7. Solid understanding of Infrastructure as Code (IaC) using Terraform or CloudFormation.


Why Join?

  1. Work with the latest technologies in AI/ML and cloud computing

  2. Be part of a growing and collaborative engineering team

  3. Opportunity to work on high-impact, real-world machine learning deployments


Interested? Apply Now!
Send your updated resume to hrinc10@gmail.com
To know more, visit: www.hrincconsultants.com