Proximus Ada

Medior Computer Vision Data Scientist

Job description

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 growing company with start-up mentality? Eager to learn continuously? Join Proximus Ada! Within this Proximus’ centre of excellence for AI and Cybersecurity, the team of data scientists, data engineers and analytics translators, supports the Proximus group in designing, developing, and deploying AI-driven applications in line with the business needs.

The team you will join (AI business development) is responsible for the development & delivery of high-quality innovative AI solutions (E2E) the external customers of the Proximus Group. Our vision is to be a recognised, trusted, and valued partner for AI transformation and AI solution delivery & deployment on the Benelux market. If you are willing to contribute to our growth by inspiring and helping new customers with AI, this job is made for you.


Role description

As a Computer Vision Data Scientist, you will play a key role in the complete lifecycle of AI solution creation and delivery for computer vision and image recognition use cases. You will do so while understanding that machine learning is rarely a magic bullet and that clear planning, communication and managing clients’ expectations are vital for project success.

In the team, you will be the single point of contact with respect to computer vision and will be recognised as our internal expert in the field. You will collaborate with other data scientists to exchange best practices and with Analytics Translator to help them get new projects. Note that you will probably also work on other machine learning topics, but computer vision will be your primary focus.


Responsibilities

  • 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)


Degree & Experience

  • 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.


Technical skills

  • 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


Soft skills

  • Experience in project management, stakeholder management and expectations management
  • Strong communication and presentation skills
  • Familiarity with agile framework
  • Attitudes/Behaviour
  • 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.


Languages

  • Very fluent in English and French.(mandatory)
  • Fluent in Dutch is a big plus.

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