machine learning engineer

An innovative enterprise AI company based in Paris develops robust, scalable machine learning services and AI platforms used by enterprise customers across Europe.

• Develop and productionise machine learning models for enterprise AI applications;
• Build automated training, validation, deployment, and monitoring pipelines;
• Deploy machine learning workloads on Kubernetes-based infrastructure;
• Manage experiment tracking, model versioning, and lifecycle management using MLflow;
• Optimise model performance, inference latency, scalability, and operational reliability;
• Collaborate with Data Scientists to transition research models into production-ready services;
• Build APIs and deployment services for machine learning applications using Python;
• Monitor model performance, data quality, and model drift across production environments;
• Improve automation, reproducibility, and operational excellence throughout the machine learning lifecycle;
• Help shape the architecture of a modern enterprise AI platform.

• 4+ Years of experience in Machine Learning Engineering, MLOps, AI Platform Engineering, or Data Engineering;
• Strong commercial Python development experience;
• Hands-on experience building and deploying machine learning models using PyTorch;
• Experience managing machine learning lifecycles with MLflow or similar platforms;
• Commercial experience deploying containerised workloads on Kubernetes;
• Experience working with AWS cloud infrastructure and cloud-native architectures;
• Good understanding of software engineering principles, CI/CD, testing, and production operations;
• Passion for building reliable, scalable, and maintainable AI systems;
• Nice to have: experience deploying Large Language Models or Generative AI applications, knowledge of distributed training and GPU-based machine learning infrastructure, experience with feature stores, vector databases, or model serving platforms, familiarity with Infrastructure as Code using Terraform, experience with monitoring and observability tools such as Prometheus and Grafana, experience working in Enterprise AI, AI SaaS, or Machine Learning platform companies.

• No conditions specified