Medior AI Engineer

Proximus Ada; Brussel; Sur place; EUR 70 000 - 110 000; Plein temps

Résumé du poste

Proximus Ada is seeking a skilled AI/ML engineer to design and implement AI-driven applications, translating business needs into scalable solutions and piloting prototypes in real production contexts.

You will collaborate with data scientists, data engineers, and analytics translators within Proximus' AI and Cybersecurity center of excellence, leveraging Azure, Langchain, Langgraph, and modern MLOps tools to deliver reliable, scalable systems.

Qualifications

• PhD or Master’s degree in AI/CS/Engineering or related field.
• Proven experience (2+ years) in AI/ML engineering with a strong focus on deploying and integrating AI.

Responsabilités

• Develop AI applications using state-of-the-art (Gen)AI technology.
• Translate business requests into AI applications.
• Pilot prototypes in production processes to demonstrate their value.
• Deploy prototypes to production to obtain reliable, scalable systems.
• Present your results in a clear manner and discuss them with multi-functional project teams.
• Work in close collaboration with business experts and other AI engineers in the team.

Connaissances

Python

AI/ML engineering

Deploying AI in production

Langchain/LlamaIndex

Azure Cloud

Version control

CI/CD pipelines

MLOps

Agentic AI frameworks

Langgraph

Kubeflow

TFX

Formation

Master's degree in Artificial Intelligence, Computer Science, Engineering, or related field

Outils

Langchain

LlamaIndex

Langgraph

AutoGen

CrewAI

MLflow

Kubeflow

TFX

Azure Data & AI services

Description du poste

Are you passionate about #AI or #cybersecurity? You love working with high profile teams with a sure taste for challenge and variety? You dream to join a fast-growing company with start-up mentality? Eager to learn continuously? Join Proximus Ada! Within Proximus’ centre of excellence for AI and Cybersecurity, a team of data scientists, data engineers and analytics translators supports the Proximus group in designing, developing and deploying internal AI-driven applications in line with the business needs.

Responsibilities

• Develop AI applications using state-of-the-art (Gen)AI technology.
• Translate business requests into AI applications.
• Pilot prototypes in production processes to demonstrate their value.
• Deploy prototypes to production to obtain reliable, scalable systems.
• Present your results in a clear manner and discuss them with multi-functional project teams.
• Work in close collaboration with business experts (e.g. for requirement gathering, data source identification, data and process understanding, feature engineering, result validation, etc.), and with other AI engineers in the team (e.g.forknowledgesharing).

Profile

• PhD or Master's degree in Artificial Intelligence, Computer Science, Engineering, or a related technical field.
• Proven experience (2+ years) in AI/ML engineering with a strong focus on deploying and integrating AI

Technical Skills

• Strong expertise in Python
• Strong knowledge of state-of-the-art AI and statistical methods
• Proven proficiencywith deploying scalable AI applications to production
• Experience using LLM’s and commonly used libraries to interact with LLM’s (Langchain, Llamaindex, ...)
• Hands-on experience with Azure Cloud, and Azure Data & AI services
• Strong Expertise with version control (Git, GitHub)
• Expertise with CI/CD pipelines, and modern software development best practices
• Experience with Agentic AI frameworks (Langgraph, AutoGen, CrewAI, …) is a big plus
• Experience with MLOps tools and frameworks (g. MLflow, Kubeflow, TFX) is a big plus

Attitudes/Behavior

• Excellent problem-solving skills.
• Collaboration: Strong interpersonal skills to work effectively with diverse stakeholders from data science, engineering, and business units.
• Excellence: Strong commitment to excellence by consistently striving for high-quality outcomes, embracing continuous improvement, and maintaining a proactive, detail-oriented approach in all tasks.
• Innovation Mindset: Willingness to explore new technologies and methodologies to drive continuous improvement.
• Resilience: Capacity to troubleshoot and resolve issues in complex changing environments while maintaining a focus on quality and user experience.
• Communication: Ability to convey complex technical concepts to non-technical audiences and provide clear documentation.

Languages

• Fluent in English + French and/or Dutch