Deep Learning Engineer jobs in Brussel

Data Wizards

Machine Learning Engineer Don’t settle for just any consulting company, choose the one that’s right for you! We’re on the lookout for a Machine Learning Engineer to join our expanding AI & Data start‑up. Responsibilities Translating business needs into technical ML requirements Designing, deploying,

NORRIQ Financial Services

Overview NORRIQ is an international group based in Denmark and Belgium, comprising over 350 consultants dedicated to unlocking the full business potential of companies through technology and digital transformation. Role ML OPS Engineer / AI Engineer Role Overview As an MLOps Engineer / AI Engineer,

Capgemini

ML Engineers contribute to Machine Learning projects by: Working with the Data Scientists to define and develop the target solution with production constraints in mind. This allows to select the correct run infrastructure and serving model (e.g. data ingestion scheme, API synchronicity, …) to addres

They’re now hiring a Senior ML / AI Engineer to join a high-impact R&D team focused on improving how large language models are deployed and used in production. The team is solving complex challenges around LLM selection, inference optimisation, performance, and cost efficiency across Kubernetes envi

dataroots, a Talan company

At Dataroots, our consulting services are focused on designing and delivering AI‑powered solutions tailored to optimize business processes. As an Expert Machine Learning Engineer , you'll join a collaborative team focused on building machine learning models that bring production‑ready solutions to l

Sia

Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We’re optimists for change and we help clients initiate, navigate an

BNP Paribas Fortis

As a Senior AI Machine Learning Engineer, you drive the industrialization of AI solutions, ensuring they are reliable, scalable, and aligned with technical best practices. You act as the key interface between Data Scientists and IT teams, bridging technical constraints (latency, volumetry, APIs) wit

Capgemini

The Machine Learning Engineer plays a key role in enabling the industrialization of Machine Learning and AI solutions within the enterprise. The mission of the role is to promote and apply best practices in production-ready ML development, ensuring that AI solutions are robust, scalable, monitored,

Praktika.ai

A language learning technology firm is seeking a Senior Full-stack Engineer to own and evolve web-facing assets. Responsibilities include driving product decisions, developing user-friendly experiences, and integrating backend services. The ideal candidate has extensive experience in Typescript, Rea

EngiFlex

Taken en verantwoordelijkheden Je werkt in een tweetalige IT-omgeving met een informele cultuur, waar multidisciplinaire teams volgens Agile SAFe samenwerken. Machine-learningoplossingen worden ingezet om processen te optimaliseren, besluitvorming te ondersteunen en digitale dienstverlening te verst

Keystone Solutions

Mission Overview As a Keystone Solutions consultant, you will be deployed on a consultancy mission at the client, delivering robust, scalable, and maintainable machine learning solutions integrated into existing systems and data flows in both Azure cloud and on‑premise environments. The client is a

In4Matic

We're looking for a skilled professional to join our client's team, where innovation meets technology in a collaborative environment. The organization fosters an informal culture and operates in a bilingual setting, engaging both Dutch and French‑speaking stakeholders. The focus is on implementing m

Creativeskills.be

BNP Paribas Fortis Senior AI Machine Learning Engineer As a Senior AI Machine Learning Engineer, you drive the industrialization of AI solutions, ensuring they are reliable, scalable, and aligned with technical best practices. You act as the key interface between Data Scientists and IT teams, bridgi

Cast AI

About the role In the AI Enabler team, our day is usually full of R&D challenges. Have you ever encountered a situation where you need to expand your AI infrastructure so that the applications can automatically pick the right large language models (LLMs) that are both more cost‑efficient and better

Eneba

At Eneba, we’re building an open, safe and sustainable marketplace for the gamers of today and tomorrow. Our marketplace supports close to 20m+ active users (and growing fast!), provides a level of trust, safety and market accessibility unparalleled to none. We’re proud of what we’ve accomplished in

Eneba

At Eneba, we’re building an open, safe and sustainable marketplace for the gamers of today and tomorrow. Our marketplace supports close to 20m+ active users (and growing fast!), provides a level of trust, safety and market accessibility unparalleled to none. We’re proud of what we’ve accomplished in

Randstad Digital Belgium

Jouw verantwoordelijkheden Verwerken, analyseren en voorbereiden van data uit verschillende interne en externe bronnen Ontwerpen, trainen, testen en tunen van machine learning-modellen voor use cases zoals classificatie, regressie, forecasting, detectie of scoring Vertalen van modellen en experiment

AXA Group

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

OPTIMUS IT SERVICES

Design and implement real-time streaming voice pipelines , including audio ingestion, VAD / endpointing , Speech-to-Text (STT) , LLM orchestration , and streaming Text-to-Speech (TTS) . Own and optimize turn-taking mechanisms , including barge-in , interruption handling, silence detection, endpoint

BNP Paribas Fortis

Your job in a nutshell As a Senior AI Machine Learning Engineer, you drive the industrialization of AI solutions, ensuring they are reliable, scalable, and aligned with technical best practices. You act as the key interface between Data Scientists and IT teams, bridging technical constraints (latenc