Machine Learning Engineer

Context

Our client is looking for a Machine Learning Engineer to help industrialize AI and analytics solutions. The role focuses on building and integrating production-ready ML pipelines, supporting the development, deployment, and monitoring of AI services, and ensuring smooth collaboration between AI & Analytics teams and IT Production.

The Machine Learning Engineer will contribute to data quality checks, data flow design, model integration, and monitoring to make sure ML models operate reliably in production and continue to deliver business value over time.

Responsibilities

Work closely with Data Scientists to define and develop ML solutions while taking production constraints into account
Help select the appropriate run infrastructure and serving model based on business needs such as real-time responses and processing volumes
Automate the different components of the ML pipeline for integration and deployment into production environments
Build and manage Docker or virtual machine images as part of deployment processes
Prepare and support unit, regression, and integration testing
Support Data Scientists in using existing industrial solutions and CI/CD tools to build and monitor AI services
Support IT Production in the parameterization of the target environment
Ensure models run without errors in production
Ensure models are retrained when needed, including automated retraining where relevant
Monitor models from both an IT performance and business performance perspective
Contribute to improving industrial code development standards across the ML & AI community

Technical skills

Must have

At least 4 years of relevant experience
Advanced Python skills
Experience with containerization / virtualization
Experience with AI platforms and IDEs
Experience with CI/CD, especially gitlab-ci
Knowledge of code, model, and data versioning
Experience with package management tools and dependency management
Knowledge of PostgreSQL
Knowledge of Agile methodology
Strong communication skills, both oral and written
Results-driven mindset and ability to deliver
Strong attention to detail and rigor
Problem-solving mindset with creativity and innovation
Continuous learning attitude and willingness to improve knowledge
Awareness of efficiency and effectiveness
Ability to collaborate constructively and stay open to change, feedback, and new ideas

Should have

Experience with integration using different technologies, including distributed systems and mainframe-related environments
Experience with ELT / ETL tools
Experience with Big Data tools, especially Spark
Knowledge of data flow processing
Experience with data visualization tools
Ability to think outside existing processes and frameworks
Proactive and empowered approach to contributing to team and company success

Nice to have

Knowledge of model compression techniques
Dutch language skills
French language skills

Who we are

Community Consulting goes beyond traditional consulting; it’s all about fostering connections in an atmosphere of trust and confidence.

Transparency & Honesty : We say things as they are. Clear communication for seamless collaboration.

#COMMUNITEAM : Work independently, but never alone. Collective intelligence drives us further, faster.

Total Commitment : Always present, always engaged. We find solutions and make sure everyone moves forward together.

Guaranteed Efficiency : No fluff, just results. We act fast, keep our promises, and deliver top quality.

This is our DNA. This is how we make a difference.

Type

Permanent or Freelance

Contract

Full-time

Location

Brussels

Homeworking

2 days per week

Sector

Bank & Finance

Keywords

You Career Advisor

Lena Vandecnocke

Lead Talent Management & Business Ops

l.vandecnocke@communityconsulting.be

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