Job description
Machine learning Engineer - 12+ Months - Paris, France
Global Enterprise Partners is currently looking for an experienced Machine Learning Engineer ready to take on their next challenge with one of our clients in the Consumer Goods industry. The project will work in a hybrid capacity from my clients HQ in Paris, France.
Our client is looking for a Machine Learning Engineer who will contribute to the MLOps process implementation to maintain ML models in production. You will collaborate with the team to deploy or improve scalable and efficient ML pipelines using best MLOps practices. Collaborating with the team on production-quality service development with Unit & Integration testing, CI/CD & devOps for these services. You will identify new opportunities to improve go-to-production, MLOps processes and apply software development practices and standards to enhance and ensure the code quality of our applications. You will maintain an active role in every part of the software development life cycle and actively contribute to Data platform community.
Machine Learning Engineer Requirements
- More than 3 years implementation experience with high-level languages, such as Python, Scala, Java, C/C++.
- Knowledge and experience with cloud and deployment technologies. Knowing Microsoft Azure is a plus.
- Experience in building or improving CI/CD pipelines.
- Knowledge and experience with container tools such as Docker.
- You are familiar with MLOps practices (Azure ML Studio, Mlfow)
- You have knowledge and experience in designing and building APIs with Python
- You have first experiences in data science and applying machine learning algorithms and libraries (Pandas, Scikit-learn, Pytorch ...)
- You are fluent in English
Contact Details
Start date: ASAP
Duration: 12+ months initial contract
Rate: Please indicate your salary expectations
Location: Paris, France (Hybrid flexibility)
Interviews: Ongoing
If you are interested in this role or know someone who might be, please get in touch with Ryan Donovan via +31625264036 or send an email to r.donovan(a)globalenterprisepartners.com with an updated CV.
