Generative AI Engineer

Datashift

Gent

On-site

EUR 65,000 - 90,000

Full time

14 days+
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Benefits offered by this job

Company car
Fuel card
Meal vouchers
Bonus
Fringe benefits including training

Job summary

Datashift is seeking a GenAI Engineer to strengthen our AI team in Gent. You will develop GenAI solutions, collaborate with domain experts, and contribute to PoCs to prove business value.

You will maintain scalable ML pipelines, deploy production-ready models in the cloud, and stay ahead with new techniques to boost performance. You will work with software engineers and DevSecOps and mentor junior members.

Qualifications

  • 2–4 years of experience in machine learning projects.
  • Deep expertise in implementing, deploying and optimizing cloud-based AI solutions at scale.
  • GenAI experience and applications.
  • Proficient in Python and software development practices.
  • Familiar with MLOps principles and CI/CD for ML pipelines.
  • Experience with cloud solutions (AWS, Azure) and ML frameworks (TensorFlow, PyTorch).
  • Fluent in English and Dutch is a must.

Responsibilities

  • Maintain a scalable and efficient codebase for training, testing, and deploying ML models.
  • Deploy production-ready ML pipelines in the cloud.
  • Experiment with new techniques to improve model performance.
  • Collaborate with software engineers and DevSecOps to integrate models into customer environments.
  • Capture stakeholder feedback and iterate to increase value.
  • Coach junior team members and provide technical guidance.
  • Act as tech-lead on a per-project basis.

Skills

GenAI
Python
MLOps
Cloud computing
English
Dutch

Tools

TensorFlow
PyTorch
AWS
Azure

Job description

We are looking for a Generative AI Engineer (GenAI) to strengthen our Artificial Intelligence team at Datashift.

Your Responsibilities

As a GenAI Engineer, you will develop AI solutions to address specific business challenges with a focus on GenAI applications. You’ll do this in collaboration with other domain experts to understand requirements and identify the data required to deliver the expected value. You will also actively contribute to proof of concepts to demonstrate expected business value of AI use cases.

  • Maintaining a scalable and efficient codebase for training, testing, and deploying machine learning models in production environments
  • Deploying production ready ML pipelines in the cloud
  • Staying up to date and experiment with new techniques and algorithms to improve model performance and accuracy
  • Working closely with software engineers and DevSecOps to successfully integrate your models into existing customer environments
  • Capturing feedback from stakeholders on outcomes and iterate your solution to continuously improve value
  • Coaching junior team members and provide technical guidance and support
  • Acting as tech‑lead on a per‑project basis
Your Qualifications
  • Between 2 and 4 years of experience
  • Proven track record of successfully delivering multiple machine learning projects in production
  • Deep expertise in implementing, deploying and optimizing cloud‑based AI solutions at scale
  • Experience in GenAI and its applications
  • Proficient in Python and software development practices
  • Familiar with MLOps principles
  • Experience with cloud solutions (AWS, Azure, …) and ML frameworks (Tensorflow, PyTorch, …)
  • Fluent in English and Dutch is a must.
Our Offer
  • A highly entrepreneurial team
  • A no‑nonsense working environment with a focus on high quality
  • Excellent terms of employment (including company car, fuel card, meal vouchers & bonus)
  • Fringe benefits including continuous training that builds and extends professional, technical and management skills in all areas
  • The opportunity to grow together with Datashift in terms of capabilities as well as financial benefits
Interested?

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