Job description
🤖 The Job
At Dataroots, we couple our excellent consulting services with our technical expertise to build cutting-edge machine learning models to improve business processes across a variety of industries, with a strong focus on DataOps and MLOps. As a Machine Learning Engineer, you'll be an integral part of our in-house team of AI specialists, designing and implementing models that deliver robust, data-driven solutions for our clients.
You’re passionate about data, and you enjoy diving deep into it to unlock actionable insights. Your expertise lies in developing and fine-tuning machine learning models that directly improve client operations. You’ll experiment with different approaches to ensure top-tier results, and collaborate closely with Data Engineers and Cloud Architects to deliver tailored solutions, always with a quality-focused, end-to-end perspective.
You’ll also have the opportunity to mentor colleagues, share knowledge, and stay on top of industry developments through a range of initiatives we support internally.
🎉 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,... 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 [https://dataroots.io/our-dna].
💼 What we’re looking for
- A deep passion for Machine Learning and a Master’s or PhD in a quantitative discipline.
- Strong foundation in software design principles.
- A minimum of 2 years of experience in a field related to machine learning and big data.
- Expertise in machine learning and deep learning, with both a theoretical and practical grasp.
- Proficiency in Python is a must; experience with SQL is a big plus, and knowledge of R or Scala is an advantage.
- Experience deploying machine learning models and familiarity with MLOps practices.
- Basic understanding of cloud engineering.
- Enthusiasm for working with large datasets and a pragmatic approach to problem-solving.
- Strong communication skills and the ability to simplify complex technical concepts for clients.
- Fluency in both English and Dutch.
Don't worry if you don’t meet every requirement from the start. Most of all we are looking for colleagues with the same passion for personal and team development as the rest of us.
đź’° 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
+ Meal vouchers
+ ...
- Diverse and welcoming work environment, where you’ll collaborate & unwind with colleagues from different cultures and disciplines. The organization 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 shape the future of AI as a Machine Learning Engineer with us? We’re looking forward to hearing from you! Apply now and start a new chapter with Dataroots! 🎉
