Young Graduates - ML Engineer/ Data Scientist at Devoteam

Machelen, Flanders, Belgium -

Full Time

Start Date

Immediate

Expiry Date

19 Jun, 26

Salary

0.0

Posted On

21 Mar, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Pandas, Scikit-learn, PyTorch, TensorFlow, SQL, Statistics, Probability, Machine Learning Algorithms, NLP, Deep Learning, MLflow, Generative AI, LLMs, RAG, MLOps

Industry

Business Consulting and Services

Description

Company Description About Devoteam Devoteam is a leading consulting firm focused on digital transformation. We help our clients leverage technology to achieve their business goals. Our longstanding partnerships with leaders like AWS, Google Cloud, Microsoft, and ServiceNow amplify our capabilities, allowing us to deliver top-tier expertise and award-winning services. For 30 years, we have always been on the next tech wave. Devoteam has guided organizations through the Internet and cloud. The next revolution? AI. With 11,000 tech natives working in 25+ countries, we bring you highly skilled IT experts across Europe At Devoteam, tech is in our DNA, and it’s the people we empower with tech. Now, with responsible AI, we’re ready to unlock a future where technology drives positive change. Job Description The Mission: Build AI That Matters As a Young Graduate, you will work at the intersection of mathematical theory and cloud engineering. Your journey will involve: End-to-End ML Lifecycles: Learn to use MLflow to track experiments, manage model versions, and deploy high-performing models into production. Feature Engineering & Pipelines: Collaborate with our Data Engineers to build automated pipelines that transform raw data into "Gold" features for your models. Generative AI & LLMs: Get hands-on with Mosaic AI and RAG (Retrieval-Augmented Generation) to build intelligent agents and fine-tune Large Language Models. Advanced Analytics: Apply statistical modeling, NLP, and Deep Learning to solve real-world problems—from predictive maintenance to personalized customer journeys. Model Monitoring: Learn the "Ops" in MLOps—ensuring models remain accurate, ethical, and scalable once they hit the real world. Qualifications Are You Our Next Tech Native? Education: A Master’s Degree in Data Science, Artificial Intelligence, Mathematics, Physics, or Computer Science. The Toolbox: Strong proficiency in Python (Pandas, Scikit-learn, PyTorch/TensorFlow). Knowledge of SQL. Mathematical Core: A solid understanding of statistics, probability, and machine learning algorithms (Random Forests, Gradient Boosting, Neural Networks). Curiosity: You are obsessed with the "Why" and stay up-to-date with the latest AI research and Databricks features. Languages: Fluency in English and proficiency in Dutch or French is mandatory. Why Start Your Career Here? The AI Accelerator: A structured onboarding program with official Databricks Machine Learning Professional certifications. The Databricks Advantage: Work with the world’s leading Data & AI platform, gaining skills that are in massive demand globally. Innovation & Fun: An entrepreneurial culture where we value Frankness, Respect, and Ambition, all in an eco-friendly and inspiring workspace. Growth: A competitive graduate salary and a clear career path toward Senior Data Scientist or AI Architect. Additional Information Why choose us? Thrive in a fast-growing, entrepreneurial environment Work with innovative and impactful Cloud, Data & AI projects for industry-leading clients Connect with extraordinary talents in a collaborative and diverse culture Enjoy a healthy work-life balance in an inspiring, eco-friendly workplace Competitive compensation package At Devoteam, we combine strong values – respect, frankness, ambition, entrepreneurship & collaboration – with a fun and supportive environment that empowers you to innovate, grow, and succeed in the fast-paced world of Cloud, Data & AI. Contract type: Permanent contract

Responsibilities

The role involves working at the intersection of mathematical theory and cloud engineering, focusing on the end-to-end Machine Learning lifecycle, including tracking experiments with MLflow and deploying high-performing models into production. Responsibilities also include building automated feature engineering pipelines, utilizing Generative AI and LLMs via Mosaic AI and RAG, and applying advanced analytics like NLP and Deep Learning to solve real-world problems.