Machine Learning Engineer - Computer Vision

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.

YOUR ROLE

• The position involves developing and deploying cloud-based computer vision systems that operate reliably at scale. Responsibilities include engineering both real-time and batch vision solutions — from training deep learning models to serving them through scalable cloud APIs.
• The role focuses on transforming AI models into production-ready services for on-premises and cloud environments, ensuring performance, security, and cost efficiency, and enabling applications in industries such as manufacturing, security, healthcare, and retail.
• Design, train, and optimize computer vision models for production use cases (object detection, image segmentation, OCR, video analytics, etc.).
• Package and deploy AI models to cloud environments for scalable, high-availability services.
• Implement pipelines for data ingestion, preprocessing, and inference in the cloud.
• Work closely with product and engineering teams to integrate AI features into customer-facing applications.

YOUR PROFILE

• Bachelor’s or Master’s in Computer Science, Engineering, or related field.
• Strong skills in Python and deep learning frameworks (PyTorch, TensorFlow).
• Hands-on experience with at least one cloud platform (AWS Sagemaker, Azure Machine Learning, Google Vertex AI, etc.).
• Experience building and deploying ML models using Docker, Kubernetes, or serverless services.
• Solid understanding of computer vision algorithms and real-world performance challenges.
• Familiarity with traditional machine learning methods (SVMs, decision trees, clustering, feature engineering).
• At least 5 years of experience in a similar role involving computer vision and AI/ML deployment.
• Experience with streaming/video analytics in the cloud.
• Knowledge of CI/CD for ML (MLOps).
• Exposure to Generative AI techniques and concepts.