AI & Data Engineer (Machine Learning)

Responsibilities

• Support Data Science teams by providing comprehensive ML environments and supporting code implementation from data ingestion to model deployment.
• Collaborate with data engineers, software developers, and product owners to seamlessly integrate ML solutions into products.
• Deploy and manage robust MLOps pipelines for continuous integration, delivery, monitoring, and model retraining.
• Profile, debug, and optimize the performance, latency, and resource consumption of production models and data pipelines.
• Partner with the MLOps platform team to translate product needs into feature requests for continuous platform improvement.
• Mentor and share knowledge with other engineers within the team.
• Participate actively in Agile ceremonies and teamwork to achieve sprint objectives.

Requirements

• 5+ years of experience in MLOps, DevOps, or cloud infrastructure roles, specifically focused on deploying and scaling machine learning systems.
• Demonstrated expertise in Python, including the ability to refactor existing code and implement best practices.
• Experience with DevOps practices such as CI/CD, containerization, infrastructure as code, and version control (Git).
• Proficiency with cloud platforms (AWS or GCP) for deploying and managing scalable ML models.
• Hands-on experience with MLOps tools such as MLflow, Airflow, AWS SageMaker, and container tools like Docker or Podman.
• Fluency in both English and French (written and spoken).

Preferred Qualifications

• Experience with Python environments and dependency management tools like poetry or uv.
• Strong analytical and problem-solving skills to align technical solutions with business goals.
• Ability to explain complex technical concepts to diverse stakeholders.

About the Company

Air Liquide is a world leader in gases, technologies, and services for Industry and Health. We leverage energy and environmental transitions, healthcare changes, and digitization to deliver value to our stakeholders through innovation and industrial excellence.