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
As a Machine Learning Engineer at Capgemini, you will play a critical role in the development, integration, enhancement, and optimization of machine learning solutions that support business decision-making and operational excellence.
You will collaborate closely with data scientists, business stakeholders, and subject matter experts (SMEs) to translate business requirements into scalable technical solutions. This role requires strong Python programming skills, machine learning expertise, cloud experience in Google Cloud Platform (GCP), and the ability to work independently in a fast-paced, data-driven environment.

Responsibilities & Scope
Develop, enhance,



and maintain machine learning solutions and predictive analytics models.
Support the integration, deployment, monitoring, and upgrading of ML models in production environments.
Translate business requirements into actionable technical solutions and implementation plans.
Collaborate with SMEs and business stakeholders to understand operational processes and technical requirements.
Develop and optimize data processing workflows using Python, SQL, Pandas, and NumPy.
Build and maintain data visualizations and reporting solutions using Bokeh.
Ensure data quality, reliability, and consistency throughout the machine learning lifecycle.
Manage source code and collaborative development processes using Git.
Participate in testing, validation, and quality assurance activities related to data and machine learning solutions.
Support troubleshooting, performance optimization, and enhancement of deployed analytics appli

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