Medior Computer Vision Data Scientist
Proximus
- Brussel
- Vast
- Voltijds
- Demystify AI & represent our computer vision expertise to our clients (presentation, events, training).
- Drive AI innovation in Proximus Ada & work on internal projects
- Help clients identify needs that could be answered by leveraging AI models.
- Answer RFP's to get new projects
- Go through research papers to identify best way to tackle problems.
- Design AI solution architecture on prem or in the cloud
- Mentor interns
- Fully manage AI project from inception to production on your own:
- Translate business requests into data requirements.
- Scope the project and support business case creation,
- Build a project roadmap with the requestor, provide accurate time estimates, and manage expectations.
- Collect, extract, analyse and prepare data,
- Develop predictive models using state-of-the-art machine learning and statistical methods,
- Pilot prototypes in production processes to demonstrate their value,
- Deploy the ML flow to production in a fully secured way,
- implement feedback loop and ensure model proper monitoring & retraining,
- Present your results along the way in a clear & accurate manner,
- You will accomplish all this by working in close collaboration with business experts (e.g., for requirement gathering, data source identification, data and process understanding, feature engineering, result validation, etc.), with IT (e.g., for ETL, deployment to production, etc.) and with other data scientists of the team (e.g., for knowledge sharing)
- PhD or Master's degree in a quantitative field (Artificial Intelligence, Computer Science, Engineering, Statistics, Mathematics, etc.)
- 3+ years of work experience in computer vision / image recognition
- Previous consultancy experience would be ideal but is not required.
- Strong knowledge of Computer vision algorithms, concepts, and techniques.
- Strong knowledge of state-of-the-art machine learning and statistical methods.
- Hands-on experience with Python and its machine learning ecosystem.
- Hands-on Experience with Cloud technology (Azure)
- Deep learning framework (e.g. Tensorflow, PyTorch) & big data (e.g. PySpark, Hadoop)
- Hands-on experience with Linux and Hadoop commands
- MLOps practices, e.g. orchestration with Airflow, Gitlab CI/CD, etc.
- Any experience with the following elements is a big plus:
- Generative AI
- Containerized deployment of ML products - e.g. docker, podman, Kubernetes
- AI regulations & privacy (GDPR, AI act, …)
- Explainable AI
- Experience in project management, stakeholder management and expectations management
- Strong communication and presentation skills
- Familiarity with agile framework
- Passionate about data science & constant learner
- Proactive, can-do and solution oriented
- Capable of driving a project even in a blurry context
- Result-oriented and highly efficient in transforming data into actionable insights that create business value
- Able to manage data science projects in an autonomous and professional way and drive collaboration with external domain experts, data engineers and other data scientists.
- Team player
- Organised and structured
- Flexible
- Interested to work on many different short projects.
- Integrity & trust while managing confidential information.
- Very fluent in English and French.(mandatory)
- Fluent in Dutch is a big plus.