Senior AI Engineer

Datashift; Vlaanderen; Sur place; EUR 70 000 - 120 000; Plein temps

Résumé du poste

Datashift is seeking a Senior (gen)AI Engineer to bridge business needs and technical solutions in Belgium. You’ll work with clients to uncover core challenges and select the best-fit AI approach, from genAI to traditional ML and statistical modeling.

You’ll build scalable applications from proof-of-concept to production, while prioritizing security and privacy, and collaborating with Datashift experts in an agile environment. Fluency in English is required; Dutch or French is a plus.

Qualifications

• At least 4 years of industry experience, consultancy preferred.
• Background in business engineering, civil engineering, or related field.
• Proven track record delivering data & AI projects in production.
• Strong experience with AI technologies and applying them in a business context.
• Excellent communication and teamwork skills.
• Experience with cloud solutions (AWS, Azure, Google).
• Familiar with monitoring tools (e.g., MLFlow).
• Strong Python software engineering practices including testing and evaluation of AI solutions.
• Fluent in English; Dutch or French a plus.

Responsabilités

• Understand business requirements and challenge clients to pinpoint the underlying problem.
• Reveal the underlying business problem before diving into the solution.
• Apply versatile AI approaches (genAI, ML, statistical models) to data-related problems.
• Work in an agile way and adapt to changing business needs.
• Build solutions from POC to production-ready applications with Datashift experts.
• Ensure security and privacy requirements are met from the start.
• Communicate technical solutions to stakeholders at all levels.
• Participate as a technical expert in pre-sales meetings.

Connaissances

AI technologies

Cloud platforms

Python

Communication

Pre-sales

Team collaboration

English fluency

Formation

Business/Civil engineering background

Outils

MLFlow

Description du poste

Are you a versatile AI expert who sees technology as a means to solve real business problems, not just as an end in itself? Do you enjoy challenging assumptions, uncovering the true needs behind a client’s request, and crafting tailored solutions that make a lasting impact?

At Datashift, we’re looking for a Senior (gen)AI Engineer who thrives at the intersection of business and technology. 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, always keeping security and privacy top of mind.

Responsibilities

• Understand business requirements and dare to challenge clients to clearly pinpoint the underlying problem
• Reveal the underlying business problem before diving into the solution.
• We see AI -in the broad sense- as a means, not as goal. We’re looking for a versatile engineer that dares to come out of the comfort zone and searches for the best technology to address specific data related business problems, whether it’s genAI, machine learning, statistical models, or other methods.
• Work in an agile way and adapt to changing business needs.
• Build solutions from POC to fully integrated applications, together with other Datashift experts.
• Ensure customer constraints such as security and privacy are met as from the start when developing solutions.
• Communicate effectively about your technical solution towards different stakeholders at all levels.
• Participate as a technical expert in pre-sales meetings.

Qualifications

• At least 4 years of experience in industry, including experience in consultancy (preferred)
• Background in business engineering, civil engineering, or related field
• Proven track record of successfully delivering multiple data & AI projects in production
• In-depth knowledge of one or more AI-technologies, with the ability to understand how these technologies can be adopted in a business context.
• Excellent communication skills, and proven success in contributing to a team-oriented environment
• Strong experience with cloud solutions (AWS, Azure, Google)
• Experience with one or more monitoring tools is a plus (e.g. MLFlow)
• Strong affinity with software engineering best practices (in python), including testing & evaluation of AI solutions.
• Fluent in English. Fluency in Dutch or French is considered as a big plus.

Interested?