Capgemini

Ml Ops Engineer | 6 To 12 Years | PAN India

Posted On

Jan. 31, 2025

Location

Pune, Maharashtra

Experience Level

Experienced Professionals

Job Type

Permanent

Apply By

Feb. 19, 2025

Job Description

Capgemini Invent

Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build what’s next for their businesses.

Your role

Develops the strategies, blueprints and processes for MLOps to be used, while identifying any risks inherent in the life cycle
Design and build effective, user-friendly infrastructure, tooling, and automation to accelerate Machine Learning at Hyperscale
Collaborate with teams to drive the ML technical roadmap
Collaborate with Machine Learning Engineers and Product Managers to develop tools to support experimentation, training and production operations
Manage & Oversee MLOps life cycle and processes and unify the work of data scientists, data engineers, and software developers
Collaborate with pre-sales & other teammates to draft responses for client requirements, RFPs etc.
Engage with the business, leadership, end users, and data experts to scope the project, estimate value, estimate costs
Develop technical contents and Point of Views, Groom and maintain stakeholder’s relationships
Establish standards and practices around MLOps, including governance, compliance, and data security

Your Profile

Understanding of data structures, data modeling, software architecture and computer architecture
Hands-on experience with ML frameworks, libraries, agile environments, and deploying machine learning solutions using DevOps principles
Strong programming and coding languages such as Python, SQL, Java, C++, R, JavaScript , etc.
Experience with machine learning frameworks, libraries and packages like Tensorflow, Keras, PyTorch, scikit-learn, NumPy, Pandas, etc.
Good understand on the tools serving different purposes in the MLOps pipelines, including Continuous Integration servers, Configuration management, Deployment automation, Containers, Infrastructure Orchestration, Monitoring and analytics, Testing and Cloud Quality tools, as well as network protocols
Should have good hands-on and know-how of DevOps and MLOps life cycles
Must know how to automate the entire DevOps pipeline, including app performance monitoring, infrastructure settings, and configurations
Exposure in at least one cloud (AWS/GCP/Azure) platforms

What you will love about working here

We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance.
At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities.
Equip yourself with valuable certifications in the latest technologies such as Generative AI.

About Capgemini

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, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.

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