Generative AI Engineer

Datashift; Oost-Vlaanderen; On-site; EUR 65,000 - 90,000; Full time

Benefits offered by this job

Company car

Fuel card

Meal vouchers

Bonus

Job summary

Datashift is seeking a GenAI Engineer to strengthen our Artificial Intelligence team. You will develop GenAI solutions, collaborate with domain experts, and contribute to proofs of concept to demonstrate business value.

Responsibilities include maintaining scalable ML codebases, deploying cloud-based pipelines, and iterating models based on stakeholder feedback. You will guide peers and occasionally lead projects in a fast-growing AI environment.

Qualifications

• 2-4 years of hands-on experience delivering ML projects in production.
• Deep knowledge of building and optimizing GenAI solutions.
• Proficient in Python and software development practices.
• Familiar with MLOps principles and CI/CD for ML.
• Experience with cloud platforms (AWS, Azure, etc.) and ML frameworks.
• Fluent in English; Dutch language skills are required.

Responsibilities

• Develop GenAI solutions to address business challenges in collaboration with domain experts.
• Maintain scalable codebase for training, testing, and deploying models in production.
• Deploy production-ready ML pipelines in the cloud.
• Experiment with new techniques to improve model performance and accuracy.
• Collaborate with software engineers and DevSecOps to integrate models into customer environments.
• Capture stakeholder feedback and iterate to maximize business value.
• Coach junior team members and act as tech-lead on projects.

Skills

GenAI Expertise

Python

MLOps

Cloud ML

English

Dutch

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.

Other responsibilities include:

• 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.