AIML Engineer

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

• Must have experience with Machine Learning Model Development
• Expert Level Proficiency in Data Handling (SQL)
• Hands-on with Model Engineering and Improvement
• Strong experience in Model Deployment and Productionlization
  
  

Your Profile

• 4-14 years of experience in developing and implementing machine learning, Deep Learning, NLP models across various domains.
• Strong proficiency in Python, including relevant libraries and frameworks for machine learning, such as scikit-learn, XGBoost and Keras.
• Proven experience in enhancing model accuracy through engineering techniques, such as feature engineering, feature selection, and data augmentation.
• Strong expertise in deploying machine learning models to production systems.
  
  

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, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.