Machine Learning Engineer

Machine Learning EngineerRemote (Europe) – Company based in Paris, FranceEnterprise AI | Machine Learning | MLOps | AI PlatformsOur client, an innovative Enterprise AI company based in Paris, is looking for a Machine Learning Engineer to bridge the gap between data science and production engineering. You'll help transform cutting-edge machine learning models into robust, scalable services used by enterprise customers across Europe.What You'll Be Working On• Developing and productionising machine learning models for enterprise AI applications• Building automated training, validation, deployment, and monitoring pipelines• Deploying machine learning workloads on Kubernetes-based infrastructure• Managing experiment tracking, model versioning, and lifecycle management using MLflow• Optimising model performance, inference latency, scalability, and operational reliability• Collaborating with Data Scientists to transition research models into production-ready services• Building APIs and deployment services for machine learning applications using Python• Monitoring model performance, data quality, and model drift across production environments• Improving automation, reproducibility, and operational excellence throughout the machine learning lifecycle• Helping shape the architecture of a modern enterprise AI platformExperience Required• 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 systemsNice 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