Machine Learning Engineer - Data Scientist

Job description

In AI&Analytics Solutions team, we want to ensure that we’re bringing smart decision making (human augmentation or automated) to the forefront of our processes/journeys by establishing a data and experimentation culture that could ultimately become a competitive advantage in today’s fast-changing world.

Do you have a passion for uncovering insights from data and turning them into impactful solutions? Are you excited to create business value out of data?

As Machine Learning Engineer - Data Scientist on our team, you will:

• Work closely with business stakeholders to understand and frame their challenges as analytical problems.
• Apply machine learning, statistical methods, and optimization techniques to develop innovative solutions that drive business impact.
• Design, build, and evaluate predictive and prescriptive models, ensuring their reliability and robustness.
• Fine-tune, adapt, and evaluate open-weight Large Language Models (LLMs) and Vision-Language Models (VLMs) for enterprise use cases, leveraging techniques such as supervised fine-tuning, parameter-efficient tuning (LoRA/QLoRA), instruction tuning, and model evaluation.
• Lead the end-to-end lifecycle of ML products: from ideation and prototyping to deployment and ongoing evaluation in production.
• Collaborate with fellow Data Scientists to share knowledge, best practices, and continuously improve our methodologies.
• Ensure the quality and performance of your solutions through rigorous testing and continuous monitoring post-deployment.
• Contribute to our data science community by developing reusable assets, sharing your expertise, and participating in innovation initiatives.

Profile

As Machine Learning Engineer – Data Scientist, you have:

• At least 2 years of experience as a Data Scientist/ML engineer or a similar analytical role.
• Master’s degree in a relevant field (e.g., Applied Mathematics, Statistics, Data Science, Physics, Computer Science).
• Strong practical knowledge of machine learning, statistics, and optimization techniques, with hands-on experience in applying them to real-world problems. Experience in developing, evaluating, and deploying end-to-end data science solutions.
• Hands-on experience with foundation models, including fine-tuning, adapting, evaluating, and deploying open-weight Large Language Models (LLMs) and/or Vision-Language Models (VLMs).
• Familiarity with modern GenAI frameworks and techniques such as Hugging Face, Transformers, PEFT/LoRA, model serving, retrieval-augmented generation (RAG), and LLM evaluation methodologies.

• Proficiency in Python and common data science and machine learning libraries.
• Familiarity with cloud computing environments and MLOps/LLMOps practices.
• Excellent communication skills, with the ability to explain complex concepts to both technical and non-technical audiences.
• Fluent in English, as well as French or Dutch

And you are also:

• Passionate about solving business problems with data and analytics.
• Outcome-focused, able to balance technical excellence with business needs.
• Curious and eager to continuously learn and experiment with new techniques.
• Collaborative and thrive in team environments.
• Proactive, analytical, and solution-oriented.