Machine Learning Engineer

NORRIQ Financial Services; Brussel; Sur place; EUR 60 000 - 80 000; Plein temps

Avantages offerts par ce poste

Competitive salary package

Company car

Extensive training in Belgium and Denmark

Access to new technologies and innovative equipment

Résumé du poste

A fast-growing international company based in Belgium is seeking an experienced MLOps Engineer / AI Engineer to design, deploy, and scale AI solutions for financial services clients. The ideal candidate will bridge Data Science and IT Operations, manage ML/AI model deployment, and oversee performance. A bachelor's degree in a relevant field and proficiency in Python, Kubernetes, and CI/CD practices are essential. This position offers a competitive salary including allowances and extensive training in Belgium and Denmark.

Qualifications

• Strong background in programming, system engineering, or DevOps is highly valued.

Responsabilités

• Deploy secure, scalable, and reliable ML/AI models into production.
• Automate testing, packaging, and deployment for data and model workflows.
• Design and maintain efficient data flows across storage systems, databases, and platforms.
• Manage dependencies for smooth project onboarding.
• Deploy and maintain containerized AI components using Kubernetes.
• Oversee model/application performance and resolve incidents.

Connaissances

Strong proficiency in Python

Experience with REST APIs and Git

Hands-on expertise in CI/CD and MLOps/DevOps practices

Practical experience with Docker and Kubernetes

Familiarity with Linux

Software testing

Modern software engineering workflows

SQL/PostgreSQL, MLflow, Helm or related tooling

Formation

Bachelor’s degree in Computer Science, Engineering, or a related field

Description du poste

Overview

NORRIQ is an international group based in Denmark and Belgium, comprising over 350 consultants dedicated to unlocking the full business potential of companies through technology and digital transformation.

Role

ML OPS Engineer / AI Engineer

Role Overview

As an MLOps Engineer / AI Engineer, you will play a central role in bridging Data Science and IT Operations. You will design, deploy, and scale production-grade machine learning and AI solutions for our financial services clients. Your mission is to ensure robust, secure, and efficient AI operations—covering deployment, observability, lifecycle management, and continuous improvement.

This role is ideal for someone who loves building AI infrastructure, optimizing performance, and enabling data scientists to move faster and safer.

Key Responsibilities

• Deploy ML/AI Models: Work with Data Scientists to deploy secure, scalable, and reliable models into production.
• Build CI/CD Pipelines: Automate testing, packaging, and deployment for data and model workflows.
• Manage Data Pipelines: Design and maintain efficient data flows across storage systems, databases, and platforms.
• Set Up Environments: Manage dependencies, development environments, and tooling for smooth project onboarding.
• Operate Kubernetes: Deploy and maintain containerized AI components using Kubernetes.
• Monitor & Troubleshoot: Oversee model/application performance, resolve incidents, and conduct root-cause analyses.
• Optimize & Innovate: Identify improvements, adopt new technologies, and enhance AI engineering practices.

Requirements

Education

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• Strong background in programming, system engineering, or DevOps is highly valued.

Technical Skills

• Strong proficiency in Python.
• Experience with REST APIs and Git.
• Hands-on expertise in CI/CD and MLOps/DevOps practices.
• Practical experience with Docker and Kubernetes.
• Familiarity with Linux, software testing, and modern software engineering workflows.
• Nice to have: SQL/PostgreSQL, MLflow, Helm, or related tooling.

Soft Skills

• Collaborative and team-oriented mindset.
• Proactive, solution-driven, and comfortable working in dynamic environments.
• Strong communication, analytical, and problem-solving abilities.

Languages

• Fluent in English (spoken and written).
• Knowledge of additional languages (Dutch or French) is a plus.

Why Joining Us?

• You will be part of a fast growing international company with a unique people culture
• A very competitive salary package including a company car, iPhone and different allowances
• You will get extensive trainings in Belgium and Denmark on technical matters, as well as soft skills and project management, and you will have access to new technologies and innovative equipment.
• You will join a dynamic and growing team with a great mix of young and experienced professionals focusing on financial services.