Capgemini

Automation Engineer||6 TO 8||Bangalore

Posted On

June 6, 2025

Location

Bangalore, Karnataka

Experience Level

Experienced Professionals

Job Type

Permanent

Apply By

June 25, 2025

Job Description

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.

Job Description

Design, develop, and implement MLOps pipelines for the continuous deployment and integration of machine learning models.

Collaborate with data scientists and engineers to understand model requirements and optimize deployment processes.

Take offline models data scientists build and turn them into a real machine learning production system.

Automate the training, testing and deployment processes for machine learning models.

Continuously monitor and maintain models in production, ensuring optimal performance, accuracy and reliability.

Implement best practices for version control, model reproducibility and governance.

Optimize machine learning pipelines for scalability, efficiency and cost-effectiveness.

Troubleshoot and resolve issues related to model deployment and performance.

Ensure compliance with security and data privacy standards in all MLOps activities.

Keep up-to-date with the latest MLOps tools, technologies and trends.

Provide support and guidance to other team members on MLOps practices.

Communicate with a team of data scientists, data engineers and architect, document the processe

Experience in designing and implementing pipelines MLOps on AWS, Azure, or GCP.

Hands on building CI/CD pipelines orchestration using TeamCity, Jenkins, Airflow or similar tools.

Experience with MLOps Frameworks like Kubeflow, MLFlow, DataRobot, Airflow etc., experience with Docker and Kubernetes, OpenShift.

Programming languages like Python, Go, Ruby or Bash, good understanding of Linux, knowledge of frameworks such as scikit-learn, Keras, PyTorch, Tensorflow, etc.

Ability to understand tools used by data scientist and experience with software development and test automation.

Fluent in English, good communication skills and ability to work in a team.

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

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