Expert Machine Learning Engineer

Job description

πŸ€– The Job

Dataroots specialises in crafting robust AI solutions and platforms across diverse sectors, with a keen focus on DataOps and MLOps. As an Expert Machine Learning Engineer, you'll be an integral part of our dedicated in-house team of AI specialists. Your role entails constructing and refining machine learning models that culminate in resilient, production-ready solutions aimed at optimising company processes.

You possess an unwavering passion for data, adept at unraveling its intricacies to unveil its hidden insights. With extensive experience in handling big data, you excel in developing and implementing a wide spectrum of statistical and machine learning models. Your responsibility extends to meticulously overseeing the performance of your models' output, constantly striving to experiment with novel approaches to deliver best-in-class solutions to clients. Collaboration with our data engineers and cloud architects across projects spanning various sectors is paramount, always adhering to a quality-centric, end-to-end approach. The ultimate outcome? Empowering our clients with a dependable foundation for data-driven decision-making

As a senior member, you'll play a pivotal role in fostering knowledge-sharing initiatives within the team. Through a plethora of avenues, you'll actively contribute to disseminating expertise while staying abreast of the latest advancements in the field.

πŸŽ‰ What you can expect at Dataroots

Dataroots was founded in 2016 and, since its beginnings, has focused on helping its customers achieve excellence in their data-driven operations. The only way to do this sustainably is by investing in team well-being, diversity, knowledge sharing and customer experience. This quality-first focus has allowed sustained and healthy growth over the years. Join a team where you can have an impact on our growth story. Read up more on our DNA over at [].

πŸ’ͺ The Skills

You bring these qualities and experiences to the job:

  • Mastery in Machine Learning, backed by a Master's or Doctorate in a quantitative field.
  • A profound understanding and strong opinions on software design principles.
  • Extensive industry experience, with a minimum of 4+ years in machine learning and big data.
  • Strong theoretical grounding and practical expertise in general machine learning and deep learning.
  • Excellency in both Python & SQL is a must, with additional familiarity in Scala/R.
  • Demonstrated proficiency in deploying ML models and expertise in MLOps.
  • Comprehensive understanding of cloud engineering.
  • Familiarity with GenAI is a big plus.
  • Enthusiasm for working with substantial datasets.
  • Pragmatic problem-solving approach.
  • Exceptional communication skills, capable of translating complex solutions into lucid explanations.
  • Thorough comprehension of the (big) data ecosystem.
  • Experience in the consultancy sector is a big plus.
  • Fluency in English. Speaking Dutch or French fluently is a big plus.
  • You have EU citizenship or a permanent VISA.

πŸ’° The Offer

  • An attractive salary package with extralegal benefits such as a company car & fuel card or mobility budget, hospitalisation insurance, group insurance, and a high-end laptop and a smartphone.
  • A personal & team training budget to further your professional career.
  • Your innovation budget to work on cool, educational, challenging and open-source projects within your guild.
  • Team Buildings, team gatherings to let off steam and be part of our sports initiatives.

πŸ‡§πŸ‡ͺ Our main offices are in Leuven, Ghent and Utrecht πŸ‡³πŸ‡±, with co-working spaces in Charleroi and Antwerp. These locations are always available for brainstorming sessions or team events. As a Dataroots consultant, much work can be performed remotely, but you will most likely also visit our clients on-site.

Ready for a new chapter as an Expert Machine Learning Engineer at Dataroots? Super! Apply now! πŸŽ‰

Please let the company know that you found this position on this Job Board as a way to support us, so we can keep posting cool jobs.