Data Engineer

Expleo; Elsene; Sur place; EUR 60 000 - 85 000; Plein temps

Avantages offerts par ce poste

Comprehensive benefits package

Flexible homeworking policy

Learning and development opportunities

Collaborative working environment

Meal and eco vouchers

Mobility package

32 vacation days

Résumé du poste

Expleo is seeking an experienced AI and Data Engineer in Brussels to drive innovative AI and data-driven solutions. Responsibilities include designing and deploying machine learning models, maintaining MLOps pipelines, and collaborating with teams to deliver impactful results. The ideal candidate has over 3 years of experience in machine learning and AI engineering, advanced proficiency in Python and SQL, and familiarity with cloud services. A commitment to ethical AI practices is essential, alongside strong communication skills in French or Dutch and English.

Qualifications

• 3+ years of proven experience in machine learning, AI engineering, or data science.
• Advanced proficiency in Python, SQL, and AI/ML frameworks like TensorFlow and PyTorch.
• Experience with MLOps tools and cloud ecosystems is essential.
• Fluent in French or Dutch with a strong command of English.

Responsabilités

• Identify and translate business needs into AI and data-driven solutions.
• Design and deploy machine learning and generative AI models.
• Collaborate with cross-functional teams for impactful outcomes.
• Ensure compliance with ethical AI practices.

Connaissances

Machine learning

AI engineering

Data science

Python

SQL

MLOps

Cloud services

Data visualisation

Outils

TensorFlow

PyTorch

Scikit-learn

MLflow

Docker

FastAPI

Airflow

Power BI

Tableau

Description du poste

Overview

Expleo is your transformative partner in technological innovation. As a cutting edge global engineering, technology, and consulting service provider, we empower talented professionals to drive groundbreaking solutions and shape the future of business. With a smart blend of bold thinking and reliable execution, we’re able to fast track innovation through each step of your value chain. We are strategically positioned to build value, with a global footprint across 30 countries. We are as global and local as you need us to be, with strong best in class pan-European technological centers and unique best-shoring capabilities. We leverage a network of high value-adding affiliates in consulting and industrial excellence, and leading partners across multiple sectors to provide you with the most comprehensive services and solutions in an ever changing environment.

Responsibilities

• Identify, analyze, and translate business needs and challenges into AI and data-driven solutions
• Collect, clean, and prepare data for analysis, modeling, and experimentation
• Design, develop, and deploy machine learning and Generative AI models
• Integrate AI solutions into digital products, APIs, and automated workflows
• Build, operate, and maintain MLOps pipelines for model training, deployment, monitoring, and lifecycle management
• Pioneer innovative approaches through advanced prompt engineering, state-of-the-art fine-tuning techniques, and cutting-edge LLM orchestration tools
• Evaluate and continuously optimize models for performance, scalability, reliability, and business value
• Ensure ethical AI practices, data governance, and compliance with regulatory and industry standards
• Communicate findings, insights, and recommendations clearly to both technical and non-technical stakeholders
• Be at the forefront of technological evolution by continuously exploring, researching, and mastering emerging trends, revolutionary tools, and industry-defining best practices in AI, machine learning, generative AI, and advanced data science technologies
• Collaborate closely with cross-functional teams and key stakeholders to deliver impactful business outcomes

Qualifications

• 3+ years of proven experience in machine learning, AI engineering, or data science
• Advanced proficiency in Python, SQL, and cutting-edge AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn), with a proven track record of innovative implementations
• Experience with MLOps tools (MLflow, Docker, FastAPI, Airflow, CI/CD pipelines, or cloud ML services)
• Proven experience with enterprise-scale cloud ecosystems and advanced cloud AI/ML services (Microsoft Azure, Amazon Web Services, Google Cloud Platform)
• Solid knowledge of data engineering and software engineering fundamentals
• Familiarity with LLMs, vector databases, and prompt design / orchestration frameworks
• Experience with data visualisation tools (Power BI, Tableau, or Matplotlib)
• Strong analytical mindset and ability to bridge technical and business needs
• Exceptional ability to communicate complex technical concepts clearly and demonstrate independent, creative problem-solving skills in high-pressure environments
• Fluent in FR or NL + strong command of English

Benefits

At Expleo, we are committed to providing a competitive salary and substantial benefits offering with unique wellbeing, financial and employee recognition programs.

We pride ourselves on our diverse and inclusive culture and offer a variety of family-friendly policies and enhanced leave to help you achieve a healthy work life balance.

By providing significant learning and development opportunities, we encourage individual growth and success throughout your career with us.

• Collaborative working environment - we stand shoulder to shoulder with our clients and our peers through good times and challenges
• We empower all passionate technology-loving professionals by allowing them to expand their skills and take part in inspiring projects
• Expleo Academy - enables you to acquire and develop the right skills by delivering a suite of accredited training courses
• Enjoy a comprehensive benefits package, including hospitalization and outpatient insurance, a pension and group insurance plan, employee wellbeing initiatives, sports and social events, gifts for special occasions, and much more!
• Enjoy meal and eco vouchers to support your daily needs and sustainable purchases
• Receive monthly representation fees to support work-related expenses
• 32 vacation days (20 + 12 for a 40-hour week).
• Mobility package offering flexibility: choose between a company car, full transportation coverage, or a housing allowance.
• Always working as one team, our people are not afraid to think big and question the status quo.
• Flexible homeworking policy - Balance your career and personal life

Our Commitment to Diversity

We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age.