Machine Learning Engineer

Project Description

The client, based in Central Paris, France, is seeking a Machine Learning Engineer for a 6-month contract, with a hybrid working model of 3 days on-site and 2 days remote. The ideal candidate must be fluent in French and English and possess essential skills in Python, MLOps, DevOps, Databricks, AWS/Azure, GitHub, CI/CD, Terraform, and IaC, with a minimum of 3 years of experience. This medium to senior level role involves implementing MLOps principles, optimizing data science code templates, contributing to technological innovation, and participating in cross-functional collaborations. The candidate should excel in Python and software development, have experience with terraform and IaC, be proficient in deploying machine learning models on Azure/AWS, and demonstrate an appetite for software craftsmanship and clean code. Expertise in Git, DevOps, Azure, AWS, Databricks, and hexagonal architecture is desired, with confirmed competencies in Git, IAC, AWS Cloud, Python, MLOps, DevOps, Azure Cloud, Databricks, PySpark, and Terraform. The successful candidate will have at least 3 years of experience in Python development and 2 years in MLOps. With over 90 years of combined experience, NES Fircroft is a leading engineering staffing provider across various sectors globally, offering comprehensive support to contractors for a seamless and compliant collaboration with clients.