Machine Learning Engineer
Core
Implementing and operationalizing AI/Machine Learning solutions for the Wine & Spirits industry, focusing on MLOps, scalable pipelines, and production services.
Role type
Machine Learning Engineer (MLOps & Production)
Builds
Scalable ML pipelines, production-quality services, and MLOps infrastructure for group AI projects.
Domain
Wine & Spirits industry, Generative AI, Large Language Models (LLMs), and Agents.
Deliverable
production ML models | product features | infrastructure
Required skills
Python, Java, C/C++, Microsoft Azure, GenAI/LLMs/Agents, CI/CD pipelines, Docker, MLOps practices (Azure ML Studio, Mlflow), API design, machine learning algorithms (Pandas, Scikit-learn, PyTorch).
Preferred skills
PhD in CS/Engineering/Quantitative Science, French language proficiency.
Technologies
Python, Java, C/C++, Microsoft Azure, Docker, Azure ML Studio, Mlflow, Pandas, Scikit-learn, PyTorch.
Responsibilities
Contribute to MLOps process implementation to maintain ML models in production; collaborate to deploy or improve scalable and efficient ML pipelines; develop production-quality services with Unit & Integration testing, CI/CD & devOps; identify opportunities to improve go-to-production MLOps processes; apply software development practices to ensure code quality; maintain an active role in the software development life cycle.
Seniority
Mid-level (2+ years experience), hands-on IC.