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:
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	Design and build scalable and reliable ML pipelines and deployment frameworks. 
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	Manage end-to-end lifecycle of machine learning models: versioning, deployment, monitoring, and rollback. 
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	Automate deployment processes using CI/CD tools (Jenkins, GitLab, etc.). 
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	Containerize ML applications using Docker and manage orchestration via Kubernetes. 
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	Build and manage cloud infrastructure across AWS, GCP, and Azure. 
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	Work with ML tools and frameworks such as MLflow, TensorFlow, Kubeflow, and more. 
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	Monitor model performance and handle issues like model drift and performance degradation. 
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	Collaborate closely with Data Science, DevOps, and Infrastructure teams. 
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	Optimize resource utilization and ensure cost-effective operations in multi-cloud environments. 
Required Skills & Qualifications:
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	5+ years of experience in MLOps or DevOps roles supporting machine learning projects. 
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	Hands-on experience with at least two cloud platforms among AWS, Azure, and GCP. 
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	Proficient in Python and familiar with ML libraries like TensorFlow, Scikit-learn, etc. 
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	Strong expertise in Docker and Kubernetes. 
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	Proven experience in building and managing CI/CD pipelines. 
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	Knowledge of model management tools such as MLflow, TensorFlow Serving. 
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	Solid understanding of Infrastructure as Code (IaC) using Terraform or CloudFormation. 
Why Join?
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	Work with the latest technologies in AI/ML and cloud computing 
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	Be part of a growing and collaborative engineering team 
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	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
