GET THE FUTURE YOU WANT!
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
YOUR ROLE
Hiring for a Data Engineer for FS domain with Machine learning and MLOps background and proficiency in Python.
YOUR PROFILE
* Primary Skill: AWS Data Engineering, ML Engineering, ML-Ops, ECS, Sagemaker, Gitlab, Jenkins, CI/CD, AI Lifecycle, Experience in front-end development (HTML, Stream-lit, Flask.)
* Familiarity with model deployment and monitoring in cloud environments (AWS). Understanding of machine learning lifecycle and data pipelines.
* Proficiency with Python, Pyspark, Big-data ecosystems
* Hands-on experience with MLOps tools (e.g., MLflow, Airflow, Docker, Kubernetes)
* Secondary Skill : Experience with RESTful APIs and integrating backend services
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 350,000 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 2024 global revenues of €22.5 billion.
Get the future you want | www.capgemini.com