Data/MLOps Engineer

Details

Status:
Gearchiveerd
Publicatiedatum:
3-2-2021
Weergaven:
37
Reacties:
1
Op locatie:
Amsterdam
FTE:
40 uur per week

Opdrachtomschrijving

Introduction

For a leading company based in Amsterdam, I’m looking for an experienced Data Engineer or MLOps 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 Data/Machine Learning Engineer, you are responsible for end-to-end solutions, within the Machine Learning team. The team is looking for a specialist who has experience with MLOps and DevOps. You will bring the team to a higher level by sharing your insights and knowledge, create pipelines, streamline processes and give advice on the MLOps part. You have experience with AWS ecosystems and are efficient with Python. Preferably you also have knowledge of Docker and Kubernetes deployment, containerization and validation and monitoring. 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.

Function requirements

  • Experienced Data/Machine Learning Engineer

  • Knowledge of MLOps/DevOps

  • Building end-to-end solutions

  • Knowledge of Machine Learning pipelines

  • Knowledge of AWS and Python

  • Knowledge of Docker and Kubernetes deployment

  • 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

  • Start date is flexible

  • 32-40 hours per week

Apply

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

FREELANCE ONLY

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