Capgemini Data Engineer & ML Specialist

Capgemini is searching for a Data Machine Learning Engineer to enhance a key engagement at a leading Canadian bank. Focus on building scalable ML inference pipelines while leveraging cloud technology. In this role, you will design and automate data workflows, ensuring a robust and stable production environment. The ideal candidate will have a strong foundation in both data and machine learning engineering, specifically in cloud platforms like AWS. Engage with diverse teams to uphold data quality and operational performance across the organization. Key Responsibilities Design and maintain ML inference and data transformation pipelines Support migration of ML models into AWS Ensure production stability through collaboration Follow best practices for CICD and data engineering Use AWS Glue, SageMaker, and Airflow in projects Requirements 3+ years in programming (Python or Java) Experience in big data technologies (Spark, Hadoop) 3+ years in machine learning model management Experience with Apache Airflow Proficient with AWS services (Glue, SageMaker) Bring your passion for data and machine learning to Capgemini and help create impactful solutions. J-18808-Ljbffr