Senior AI / MLOps Engineer - H/F

📋 Description

• Design and implement robust, scalable MLOps architectures on AWS
• Industrialize the model lifecycle (training, validation, packaging, deployment, monitoring
• Set up CI/CD pipelines for ML workflows (Infrastructure as Code + ML pipelines)
• Automate deployment and integration processes for models in production
• Implement model monitoring strategies (data drift, model drift, performance, observability)
• Collaborate closely with Data Science, Data Engineering, and Cloud teams

🎯 Requirements

• Cloud AWS (Amazon SageMaker, Amazon EKS/ECS, AWS Lambda, AWS Step Functions)
• Python (MLFlow, NumPy, Pandas, Scikit-Learn, TensorFlow, PyTorch), PySpark
• Infrastructure as Code: Terraform, CloudFormation
• CI/CD: GitLabCI, Jenkins
• Containers: Docker, Kubernetes
• Versioning: Git

🎁 Benefits

• AI-Driven Company, partner of major technology partners (Google, AWS, Microsoft, ServiceNow)
• Learning Company with continuous learning at its core
• At least one in-person interview
• Reference check required; possible technical, English, and personality tests