Full-Time Machine Learning Engineer
Capgemini is hiring a remote Full-Time Machine Learning Engineer. The career level for this job opening is Experienced and is accepting USA based applicants remotely. Read complete job description before applying.
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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.
Strong programming skills in Python and experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Familiarity with MLOps tools (e.g., MLflow, SageMaker, Kubeflow). Solid understanding of model evaluation, versioning, and deployment strategies. Experience with monitoring tools and logging frameworks for ML systems.
Key Responsibilities
- Model Deployment: Design and implement scalable, production-ready pipelines for deploying machine learning models. Ensure seamless integration of models into real-world applications and services.
- Infrastructure & Automation: Build and maintain robust infrastructure for model training, testing, and deployment using cloud platforms and MLOps tools. Automate workflows to streamline the ML lifecycle.