Machine Learning Engineer

For a leading company based in Amsterdam, I’m looking for an experienced Machine Learning Engineer.

Organization

This company is a large international company and a global market leader. The company is currently in a large transition where data and IT are key to its operations. The company offers great working conditions with flexible working hours, room for sports and not to forget, a challenging and fun environment. The company works with multidisciplinary teams, which are very international.

Function

As a Machine Learning Engineer, you are responsible for end-to-end solutions, Machine Learning cases, implementations, tuning, optimization and putting complex models in production. In this project you will be responsible for professionalizing the production environment, monitor performance of models and improving the MLOps way of work.
You will bring the team to a higher level by sharing your insights and knowledge. You have knowledge of high-level Machine Learning Algorithms and understand MLOps/DevOps. You have experience with AWS ecosystems, and you are efficient with Python and PySpark. Preferably you also have knowledge of Docker and Kubernetes deployment. The ideal candidate is professional and has an understanding of software engineering and is interested in Deep Learning. It is beneficial if you have knowledge of E-Commerce, Supply chain- or network optimization. The team you are going to work in consists of Frontend/Backend Engineers and a Product Owner.

Function requirements

• Experienced Machine Learning Engineer/Data Scientist

• Deep understanding of MLOps/DevOps

• Building end-to-end solutions

• Machine Learning algorithms

• AWS, Python, PySpark

• Docker and Kubernetes deployment

• Deep Learning (beneficial)

• Supply chain- or network optimization (beneficial)

Offered

• Project of at least 6 months

• Large chance of project extension

• International and challenging environment

• Remote work and later 3 days on location

• Flexible conditions including sports

• Flexible working hours

• Starting date is flexible

• 32-40 hours per week

Apply

Do you want to apply? Attach your CV and I will contact you as fast as possible.

FREELANCE ONLY