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, ML engineers and analytics translators, supports the Proximus group and its partners 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 customer requests into fit-for-purpose AI solution architectures aligned with customer needs.
- Pilot prototypes in production processes to demonstrate their value.
- Deploy robust, scalable AI solutions that integrate smoothly into customers’ existing systems and processes.
- Present your results in a clear manner and discuss them with multi-functional project teams without technical background.
- Work in close collaboration with customer business experts, including flexibility to work at the customers’ location.
- PhD or Master's degree in Artificial Intelligence, Computer Science, Engineering, or a related technical field.
- Proven experience (5+ years) in AI/ML engineering with a strong focus on deploying and integrating AI.
- Proven experience with B2B customer deliveries.
Technical skills
- Strong expertise in Python.
- Strong knowledge of state-of-the-art AI and statistical methods.
- Proven proficiency with 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 additional Cloud services (AWS, GCP…) is a big plus.
- Experience with MLOps tools and frameworks (g. MLflow, Kubeflow, TFX) is a big plus.
Attitudes/Behaviour
- Excellent problem‑solving skills.
- Collaboration: Strong interpersonal skills to work effectively with diverse stakeholders from data science to commercial and business profiles.
- Excellence: Strong commitment to excellence by consistently striving for high‑quality outcomes, embracing continuous improvement, and maintaining a proactive, detail‑oriented approach.
- Resilience: Capacity to troubleshoot and resolve issues in complex, changing environments while maintaining a focus on quality and user experience.
- Communication: Ability to clearly articulate complex technical concepts in a structured and accessible way, adapting the message to different audiences (technical, business, or executive).
- Customer Focus: Strong customer mindset, seeking to understand business challenges, anticipate needs, and translate them into impactful AI solutions that deliver measurable value.
- Versatility & Learning Drive: Highly adaptable professional, eager to learn new tools, technologies, and methodologies.
- Delivery Mindset: Pragmatic, hands‑on, and driven by quick, high‑quality delivery with a strong can‑do attitude.
Languages
- Fluent in English + French and/or Dutch.
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