We address the entire breadth ofbusinessneeds, from strategy and design to managing operations. To do this, we draw on deep industry expertise and a command of the fast-evolving fields of cloud, data artificial intelligence, connectivity, software, digital engineering, and platforms.
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way youd like, where youll be supported and inspired bya collaborative community of colleagues around the world, and where youll be able to reimagine whats possible. Join us and help the worlds leading organizationsunlock the value of technology and build a more sustainable, more inclusive world.
About The Role :
Design, develop, and deploy machine learning models and algorithms, ensuring alignment with business goals and requirements using both low-code and high-code methods (e.g., Python).
Handle data extraction, cleansing, manipulation, and transformation, ensuring proper data representation for effective machine learning models.
Run tests and experiments, analyze results, fine-tune models, and retrain systems as needed to improve functionality and performance.
Work closely with clients or internal teams to understand requirements, provide technical solutions, and support the shift towards Intelligent Automation (IA) and continuous upskilling.
Utilize strong analytical skills, mathematical and statistical knowledge to solve complex problems, innovate in AI/ML frameworks, and extend existing libraries.
Primary Skills
machine learning models using Python and related tools.
data manipulation, cleansing, and transformation for ML applications.
ML frameworks, algorithms, and
statistical analysis.
software development, with experience in
R, .Net, Java, and
Groovy.
NA
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