MLOps Engineer

We're hiring a

Full-Time

MLOps Engineer

in

Bruxelles, Brussels

for

Tech

department

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Sagacify is growing and the quantity of machine learning projects the ML team has to manage is increasing rapidly.

To support this growth, it has become very important to build methodologies and systems to operationalize all tasks around ML model building, deployment in production, retraining and scaling. If you are an experienced software developer (with Python skills) or DevOps with a hands-on experience in machine learning, keep reading. At Sagacify, we develop the cutting-edge intelligent software solutions that are revolutionising society.

Role description:

  • Responsible for an up to date ML pipeline:
  • General data workflow management (Data management - Data versioning - AWS storage)
  • Data Control (gathering, cleaning, validating, assessing data quality, feature engineering)
  • Training + model management (versioning)
  • Ops - Deployment - CI - Shadow deployment
  • Offline retraining - inline on production data
  • Responsible for the python coding standards (i.e unit testing, linting, code test coverage, etc)
  • Responsible for the local training infrastructure
  • Ubuntu / Cuda update
  • User utilisation & management
  • Data sharing (Cloud - local, local - cloud, user access, ...)
  • Cloud infrastructure management
  • Cloud Testing
  • Cloud Training
  • Unification of workflow with offline – online
  • You are familiar with or interested about the current research papers in the field.
  • You are familiar with (big) data handling and processing.
  • You know how to interact with APIs and the external world.

Required technical qualifications

  • Docker  (Portainer / Kubernetes is a plus)
  • Linting standards (Black, Pep 8, ...)
  • Rest APIs (Flask / Fast API is a plus)
  • Jupyter Notebooks
  • Unit testing (Integration testing is a plus)
  • CI/CD (Github actions, Jenkins, CircleCi,  CML (Continuous Machine Learning))
  • Model/Data Versionning control (DVC)
  • AWS (SQS - SNS - S3 - ....)  (GCP is a plus)
  • Kafka / RabbitMQ is a plus
  • ML librairies (Tensorflow / Keras / Pytorch / Pandas / Scikit-Learn)
  • SQL / Postgres / Elastic Search / Redis

Required soft skills

  • Proficiency in English, with French and Dutch as a plus.
  • You are highly self-driven, responsible and keen to learn.
  • You care for the high-quality of the delivery of your team’s projects.
  • Being able to work autonomous and support your team where necessary.

Why you will love working with us

  • Be part of a passionate team of technology addicts.
  • Learn and develop your skills in different fields and technologies.
  • Take part to local tech meetups and international tech conferences.
  • Collaborate with the whole Sagacify team in a global way, bringing good ideas count more than hierarchies.
  • Work in an environment adapted to your needs with flexible hours. Remote work is also a part of our culture.
  • Get access to a competitive salary package and benefits.
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