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Position Details: MLOps Engineer
| Location: | Chennai, TamilNadu |
| Openings: | 1 |
| Salary Range: |
Description:
• Proven experience as an MLOps Engineer or similar role, with a minimum of 3 years of hands-on experience in deploying and managing machine learning models in production environments.
• Strong proficiency in programming languages such as Python or Scala.
• Solid experience of AWS and the Sagemaker service
• Expertise in containerization technologies (e.g., Docker, Kubernetes) and experience with container orchestration for scalable and efficient deployment.
• In-depth knowledge of DevOps practices and tools, including CI/CD pipelines, version control systems (e.g., Git), and configuration management (e.g., Ansible, Chef, Puppet).
• Experience with data engineering, ETL pipelines, and distributed data processing frameworks (e.g., Apache Spark) for handling large-scale datasets.
• Strong problem-solving and troubleshooting skills, with the ability to analyze complex systems and resolve issues efficiently.
• Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams and present complex ideas to both technical and non-technical stakeholders.
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