Jobverse
Machine Learning Engineer · Belgium

Senior AI Engineer

datashift·Mechelen/Leuven/Gent, Vlaams Gewest, Belgium

View & apply on company site →

At Datashift, we’re looking for a Senior AI Engineer who excels in crafting challenging technical solutions that deliver business value. Do you build and leverage AI technologies as a means to solve real business problems? Do you have a proven track record of challenging assumptions on AI, uncovering the true need behind a client’s request, and developing tailored AI solutions that make a lasting impact?

As an AI Engineer, you’ll work closely with clients to reveal the core challenges before diving into solutions, selecting the best-fit approach—whether it’s generative AI, machine learning, statistical modeling, or something entirely different. You’ll build scalable applications from proof-of-concept to production.

As a Senior AI Engineer at Datashift, you’ll not only be delivering projects — you’ll also coach and guide junior colleagues, act as a technical sparring partner during presales, and help shape how the team and Datashift’s AI practice evolve. This role is a natural stepping stone towards Lead or Expert, depending on where your interests lie.

Responsibilities

  • We see AI as a means, not as a goal. We’re looking for a Senior AI engineer who always searches for the best technology to address specific data related business problems, whether it’s genAI, machine learning, statistical models, or other methods
  • Translate fuzzy client requirements into creative, pragmatic solutions, delivering rapid MVPs to quickly validate ideas and show business value
  • Scale and harden proven prototypes into robust, production-grade, and secure AI applications
  • Build solutions from POC to fully integrated applications, ensuring customer constraints such as security and privacy are met from the start
  • Understand business requirements and dare to challenge clients to clearly pinpoint the underlying problem
  • Ensure AI solutions are reliable and measurable, using structured evaluation, monitoring, and responsible AI practices (e.g. evaluation frameworks, guardrails, bias/quality checks)
  • Communicate effectively about your technical solution towards different stakeholders at all levels
  • Act as a mentor and technical coordinator for junior and medior colleagues, providing structured guidance rather than ad-hoc support
  • Initiate and participate in initiatives to share knowledge and leverage your expertise within the team
  • Support presales and business development as a technical sparring partner — helping scope solutions, estimate feasibility, and advise clients before a project even starts
View & apply on company site →

Sourced from a public career listing. Jobverse is an aggregator, not the employer.

← All Machine Learning Engineer jobs