Machine Learning Engineer Consultant

Keystone Solutions; Brussel Hoofdstad; Sur place; EUR 70 000 - 110 000; Plein temps

Résumé du poste

Keystone Solutions is seeking a Machine Learning Engineer for a client-site consultancy in Belgium. You will develop production-ready ML pipelines and deploy AI services while ensuring robust monitoring and seamless integration into industrial environments.

Collaborate with Data Scientists and IT Production, support CI/CD, containerization, and data/versioning. English is mandatory; Dutch/French are a plus. This role combines on-site and remote work (50/50) to deliver measurable business value.

Qualifications

• At least 4 years of relevant experience in ML and software environments.
• Knowledge of agile methodologies and project delivery in a consultancy setting.
• Strong communication and problem-solving abilities.

Responsabilités

• Develop production-ready ML pipelines and deploy AI services.
• Collaborate with Data Scientists to define solutions with production constraints.
• Automate ML pipeline elements for deployment and testing (CI/CD, Docker/VM images).
• Support IT Production in parameterizing environments and monitoring models in production.
• Ensure models retrain as needed and monitored from IT and business perspectives.

Connaissances

Python advanced

Data versioning

Agile methodology knowledge

Communication skills

Attention to detail

Creativity & problem solving

Continuous learning

Willingness to work across teams

Outils

Docker

VMs/Virtualization

GitLab CI

PostgreSQL

AI platforms & IDEs

Code, model & data versioning

Description du poste

Mission Overview

The Machine Learning Engineer position is a consultancy mission at a client site, representing Keystone Solutions. As a Keystone Solutions consultant, you will be hired to work on client projects, bringing your expertise and values to every engagement.

Role Description

Machine Learning Engineers promote the adoption of best standards in industrial code development across the ML and AI community. You will develop ML pipelines that are production-ready by design or integrate existing ML solutions into industrial pipelines. Responsibilities include developing, deploying, and monitoring AI services, contributing to data quality checks, data flow design, model design, and integration into production environments. You will facilitate communication between AI & Analytics teams and IT production regarding ML model deployment, ensuring models in production are equipped with appropriate data pipelines and monitoring.

Function Description

As a Machine Learning Engineer, you will contribute to Machine Learning projects by:

• Working with Data Scientists to define and develop target solutions with production constraints in mind, selecting the correct infrastructure and serving model to address business requirements.
• Contributing to the automation of ML pipeline elements for integration and deployment in production environments (e.g., building Docker/VM images, preparing unitary, regression, and integration tests).
• Supporting Data Scientists in using existing industrial solutions to build and monitor AI services (CI/CD tools).
• Supporting IT Production in parameterizing the target environment.
• Ensuring models run without errors, are retrained as needed (including automatically), and are monitored from both IT and business perspectives.

Language Requirements

• Dutch: is a plus
• French: is a plus
• English: is mandatory

Telework

• Expectation: 50% on site & 50% homeworking

Required Experience / Knowledge

• At least 4 years of relevant experience

Technical Experience (Mandatory)

• Containerization / virtualization
• AI platforms & IDEs
• CI/CD (gitlab-ci)
• Code, model & data versioning
• Python advanced
• Usage of package management tools and experience in dependency management
• PostgreSQL

Technical Experience (Preferable)

• Experience with integration using different technologies (distributed/mainframe) and infrastructure components
• Model compression techniques
• ELT / ETL tools
• Big data tools (Spark)
• Data flow processing
• Data visualization tools

Business Experience (Mandatory)

• Knowledge of agile methodology

Soft Skills

• Communication skills - oral & written
• Ability to deliver/results driven
• Attention to detail/rigor
• Creativity & innovation/problem solving
• Proactively invests time in continuous learning and knowledge improvement
• Demonstrates awareness of efficiency and efficacy
• Thinks out of the box outside existing processes and frameworks
• Works with energy and empowerment to deliver great results and contribute to company success
• Is constructive by being open to changes and others’ opinions, ideas, and feedback

Keystone Solutions Advantages

• Embrace the consultancy nature of the role, working on-site and representing Keystone Solutions at the client.
• Engage in dynamic projects, facing diverse challenges across various client environments.
• Benefit from turbo-charged learning, with opportunities for professional development and broad learning experiences.
• Experience skyrocketing ambition, with a commitment to career growth within the Keystone Solutions framework.
• Bring core values as a “K-Stone” to every engagement, ensuring excellence and integrity in all missions.