Expert Machine Learning Engineer

Join to apply for the Expert Machine Learning Engineer role at dataroots, a Talan company At Dataroots, our consulting services are focused on designing and delivering AI‑powered solutions tailored to optimize business processes. As an Expert Machine Learning Engineer , you'll join a collaborative team focused on building machine learning models that bring production‑ready solutions to life. Your passion for data and its potential will allow you to develop, deploy, and optimize advanced machine learning models. You’ll experiment with the latest approaches to ensure that every client receives best‑in‑class solutions. Working closely with our Data Engineers, Cloud Architects, and Data Strategists, you’ll help execute projects across diverse industries with a comprehensive, quality‑driven, end‑to‑end approach. As a senior team member, you'll mentor your peers, share your expertise, and keep up with the latest advancements in the field, ensuring continuous growth for yourself and the team. What you'll find at Dataroots Since 2016, Dataroots has been committing its excellent consulting services to help clients excel in their data‑driven operations. Our approach focuses on team well‑being, fostering diversity, and promoting knowledge sharing. By focusing on these values, we've achieved healthy and sustainable growth over the years. Through our consulting services, we actively encourage professional growth by exposing our employees to different industries, tools, technologies, and broadening their scope in the process. As part of the Talan Group, we are able to take this approach to the next level, adding the element of international mobility to our employees’ career journey. Join a team where your work will have a direct impact on both our clients and our journey. Learn more about our DNA at ( You bring the following qualities & experiences to the role: Master’s or Doctorate in a quantitative field, with mastery in Machine Learning. 4+ years of industry experience in machine learning and big data. In‑depth understanding of software design principles . Strong theoretical grounding and practical expertise in general machine learning and deep learning. Strong skills in Python & SQL . Knowledge of an additional programming language is an advantage. Proven track record in deploying ML models and deep expertise in MLOps. Experience with containerization (Docker, Kubernetes) and orchestration tools like Airflow, Prefect or Dagster . Solid grasp of cloud‑ & data engineering . Proven experience with cloud services like AWS, Azure, or GCP. GenAI familiarity is a big advantage. Excited to work with large datasets and be able to tackle problems pragmatically. Excellent communication skills to translate complex solutions into clear client deliverables. Fluency in English. Speaking Dutch/French fluently is a very big advantage. Consulting experience is a big plus. The Offer An attractive salary with extralegal benefits, including: + Mobility budget or a company car with fuel/charging card + Hospitalisation and group insurance + High‑end laptop + Smartphone with subscription + Substantial amount of holidays + ... Diverse and welcoming work environment , where you’ll collaborate & unwind with colleagues from different cultures and disciplines. The organisation of both fun & professional events and initiatives is actively encouraged and supported. A training budget for individual and team learning opportunities. Tons of team‑building events and sports initiatives to stay connected and unwind. Where you’ll work Our main offices are in Leuven and Ghent , with co‑working spaces in Charleroi and Antwerp . These spaces are perfect for both focusing and unwinding with colleagues, as well as brainstorming sessions and team events. While much of your work can be performed remotely, you will also work on‑site with clients. Ready to join Dataroots? Excited to join Dataroots as an Expert Machine Learning Engineer ? We can’t wait to meet you—apply today Seniority level Mid‑Senior level Employment type Full‑time Job function Consulting and Information Technology Industries Data Infrastructure and Analytics, IT Services and IT Consulting, and Technology, Information and Media #J-18808-Ljbffr