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ML Engineer Analyst

3 - 7 years

0 Lacs

pune maharashtra

Posted:1 week ago| Platform: Shine logo

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Skills Required

ml python kubernetes dockers ci cd

Work Mode

On-site

Job Type

Full Time

Job Description

You will be responsible for designing, implementing, and maintaining machine learning models to tackle complex business challenges. Your role will involve working with extensive datasets to preprocess, clean, and convert data into suitable formats for machine learning model training. Evaluating model performance, fine-tuning hyperparameters, and enhancing accuracy, precision, and efficiency will be essential tasks. Your duties will include building and deploying predictive models for real-time or batch processing using Python and popular libraries like TensorFlow, PyTorch, or scikit-learn. You will also develop, package, and deploy machine learning models as Docker containers to ensure consistent deployment across various environments. Utilizing Kubernetes for orchestration and scaling of containerized applications to optimize resource utilization and availability will be part of your responsibilities. Implementing automated deployment pipelines for model versioning and rollback through CI/CD tools, as well as creating and managing CI/CD pipelines for automating the build, test, and deployment processes of machine learning models and related applications, will be crucial. Integrating machine learning workflows into CI/CD pipelines to streamline model training, evaluation, and deployment is another key aspect of your role. Your role will also involve automating infrastructure management and scaling with Kubernetes and Docker to guarantee high availability and rapid model deployments. Collaborating with data engineers, software engineers, and other stakeholders to seamlessly integrate machine learning models into production systems will be essential. Additionally, you will provide support and troubleshooting for machine learning pipelines in a production environment to ensure efficient model operation. As part of your responsibilities, you will mentor and guide junior team members in best practices for machine learning model deployment, automation, and scaling. Staying abreast of the latest advancements in machine learning, Kubernetes, Docker, and CI/CD technologies will be necessary. Continuously enhancing deployment and model performance processes to ensure scalability, maintainability, and performance at scale will also be a key focus. Moreover, contributing to the development of internal tools, libraries, and frameworks to enhance the efficiency of model deployment and monitoring will be part of your role. Skills required for this position include expertise in machine learning, Python, Kubernetes, Docker, and CI/CD technologies.,

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