Machine Learning Engineer- AI & Analytic

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.

About the job you’re considering

The Data Scientist / ML Engineer will demonstrate excellent knowledge of ML algorithms (e.g., Linear Regression, Logistic Regression, Clustering/Segmentation, Decision Tree, Random Forest, GBM, DNN, Naive Bayes, Support Vector Machine, etc.) to lead efforts, teams, projects, and engage with customer

Your Role

• Design, implement, and optimize machine learning models (supervised, unsupervised, and reinforcement learning).
• Work on projects involving NLP, computer vision, recommendation systems, and predictive analytics.
• Perform feature engineering, data preprocessing, and model selection.
• Collaborate with Data Engineers to acquire and preprocess large datasets.
• Build and maintain data pipelines to support model training, testing, and deployment.
• Ensure data quality, consistency, and reliability.
• Deploy ML models into production environments using CI/CD and MLOps practices.
• Monitor model performance, retrain models, and manage model versioning.
• Optimize inference performance and resource utilization.
• Stay current with emerging ML/AI technologies, frameworks, and research.
• Evaluate new algorithms, tools, and libraries to improve model performance.
• Experiment with novel approaches to solve complex business problems.
• Work with software engineers, data scientists, and product managers to integrate ML solutions into applications.
• Mentor junior engineers and share best practices in ML development and deployment.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility

Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick

• Leave Medical, dental, and vision coverage (or provincial healthcare coordination in Ca
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Ca
• Life and disability insurance
• Employee assistance pro
• Other benefits as provided by local policy and eligib