Durapid Technology - Machine Learning Engineer - MLOps

Responsibilities : - Design, build, and maintain automated CI/CD pipelines for training, validating, and deploying machine learning models. - Implement and manage MLOps infrastructure using tools like Docker, Kubernetes, and Jenkins. - Leverage Databricks and cloud platform services (AWS/Azure/GCP) to build scalable and efficient ML pipelines. - Develop and maintain robust model versioning and tracking systems. - Implement comprehensive monitoring solutions for deployed ML models to ensure performance and reliability. - Collaborate with data scientists and ML engineers to understand their needs and build the necessary infrastructure and automation. - Automate data ingestion, preprocessing, feature engineering, and model evaluation processes. - Ensure the scalability, reliability, and security of our AI/ML infrastructure. - Troubleshoot and resolve issues related to ML pipelines and deployments. - Stay up-to-date with the latest advancements in MLOps and related technologies. - Contribute to the development of best practices for MLOps within the : ml, azure, deployment, devops, python, mlops, model versioning, docker, kubernetes, monitoring, jenkins, : - Bachelor's or Master's degree in Computer Science, Engineering, or a related field. - [Specify Experience Range - e.g., 3-7 years] of relevant experience in MLOps, DevOps, or a similar role focused on AI/ML. - Strong understanding of machine learning concepts and workflows. - Experience with scripting and automation using Python. - Familiarity with cloud computing environments and services. - Excellent problem-solving and analytical skills. - Strong communication and collaboration skills. - Experience with version control systems (e.g., Git). (ref:hirist.tech)

Location: jaipur, IN

Posted Date: 5/10/2025