Ml Ops Engineer

 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 whats 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 stakeholders 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.