HubMub
-
Sansaone

Machine Learning Engineer (SNS01117)

Sansaone
Belgium · Full-time · Entry
Job Description

Responsibility

  • Applies existing machine learning techniques to new problems and datasets.
  • Evaluates the outcomes and performance of machine learning systems.
  • Identifies issues and recommends improvements to machine learning systems and the data they use.
  • Designs, codes, verifies, tests, documents, amends and refactors moderately complex programs/scripts.
  • Applies agreed standards and tools to achieve a well-engineered result.
  • Monitors and reports on progress.
  • Identifies issues related to ML development activities.
  • Proposes practical ML solutions to resolve issues.
  • Collaborates in reviews of work with others as appropriate.
  • Elicits requirements for systems and software / ML life cycle working practices and automation.
  • Selects systems and software / ML life cycle working practices forcomponents and micro-services.
  • Deploys automation to achieve well-engineered and secure outcomes. Systems integration and build
  • Defines the ML modules needed for an integration build and produces a build definition for each generation of the solution.
  • Accepts completed ML modules, ensuring that they meet defined criteria.
  • Applies existing data science techniques to new problems and datasets using specialised programming techniques.
  • Evaluates the outcomes and performance of data science models.
  • Identifies and implements opportunities to train and improve models and the data they use.
  • Applies data engineering standards and tools to create and maintain data pipelines and extract, transform and load data.
  • Supports monitoring of the external environment and assessment of emerging technologies.
  • Contributes to the creation of reports, technology road mapping and the sharing of knowledge and insights.

Requirements

  • Strong understanding of machine learning concepts, statistical analysis techniques and ability to effectively explain them to both technical and non-technical colleagues.
  • Hands-on experience in programming, machine learning and software engineering.
  • Application of state-of-the-art data science and analytical tools and relevant programming languages (python with its Data Science frameworks, e/g/ pytorch/tensorflow, huggingface, langchain, autogen, pandas/polars, pySpark, scikit-learn…)
  • Additionally, at least 3 of the following items to be met:
  • Experience with developing, optimizing and maintaining AI pipelines.
  • Experience in measuring model performance and assessments.
  • Experience in using and applying the pre-trained machine learning models (for example Generative AI) for specific use case.
  • Experience with Version Control, MLOps (train, package, deploy, monitor) and CI/CD.
  • Experience with container technologies (e.g. Docker) and orchestration (Kubernetes).
  • Experience with workflow orchestration (e.g. Airflow, Argo etc.).
  • Experience with REST API development.
  • Experience with front-end development

Hiring Team Member

Avula Srivalli

Recruitment Coordinator

  • LinkedIn
  • Mail

Key Skills

Ranked by relevance

machine learning ai python docker mlops
Login to Apply
🇧🇪

Country Guide

Belgium

International hub for EU careers

Posted
Mar 05, 2025
Type
Full-time
Level
Entry
Location
Brussels
Company
Sansaone

Industries

IT Services IT Consulting

Categories

Engineering Information Technology

Related Jobs

3 roles aligned with this opportunity

View all jobs
View Job Details
ThermoVault
Related

Software Engineer (Python) - IoT & Energy Flexibility Markets

2026-05-28

Full-time
Entry
Belgium
Renewable Energy Semiconductor Manufacturing
Information Technology
View Job Details
Sansaone
Related

Data Scientist

2026-04-09

Full-time
Mid-Senior
Germany
IT Services
Information Technology
View Job Details
Atruvia AG
Related

System Engineer/Site Reliability Engineer (m/w/d)

2026-06-09

Full-time
Not Applicable
Germany
IT Services
Engineering