Data Scientist

Position Title: Data Scientist

Location: Brussels, Belgium

Duration: 6 months

Languages: Dutch, French and English

Work mode: Hybrid

Job Description:

This function includes two complementary aspects, on the one hand one relating to the coordination of AI and Data Science projects and on the other hand the provision of technical expertise in the context of the implementation of the solutions.

As far as coordination is concerned, you will be the reference person within the organization for the implementation of AI initiatives. You will collaborate closely and regularly with the other IT and business profiles of the organization in order to translate operational needs into viable projects. In this context, you will also provide the technical lead on the AI and Data Science aspects of the projects in which you will participate by supervising all project phases, analysis, development, industrialization, monitoring and maintenance. You will also supervise the junior and medior technical profiles involved in the projects under your responsibility without systematically taking on the role of project manager.

In terms of implementation, you will participate directly in the design and development of AI and Data Science solutions designed to meet the operational and tactical needs of the judicial police. You will be responsible for building machine learning pipelines, as well as monitoring and maintaining them. As a senior member, you will ensure the implementation of the best standards in programming and machine learning within the team. You will carry out a technology watch in order to keep up to date with the latest developments in the fields of MLOps and machine learning, and will be able to advise your colleagues in their technological and programmatic choices.

Desired profile

You have a master's or PhD degree in computer science, AI or equivalent and can justify a minimum of 5 years of experience in the fields of data science, MLOps and ML

You have expertise in the following areas:

· On-premise and cloud development: Expertise in the development and deployment of on-premise and cloud AI solutions (Azure, AWS, GCP).

· 5+ years of industry experience: You have 4+ years of experience in the world of ML, MLOps, and big data.

· Theoretical background and practical expertise: in the field of ML and deep learning.

· Database Paradigm (SQL & NoSQL): Advanced knowledge of relational and non-relational DB (SQL and NoSQL) including PostGres, Mysql, Milvus, Neo4J, etc.

· ML MLOps: Demonstrable experience in deploying ML models and expertise in MLOps.

· Big data focus: experience in working with large structured and unstructured datasets.

· Containerization and deployment: Experience with Docker and Kubernetes as well as orchestration tools such as Kubeflow. Mastery of ML pipelines (Kubeflow, MLflow, SageMaker,..)

· CI/CD for ML: Proficiency in implementing CI/CD for ML models and related code.

· Data Storage: Experience with different solutions for data storage (data lakes, dataware house, object storage (S3))

· System architecture: Ability to designate an end-to-end ML system taking into account scalability, robustness, maintenance and hardware constraints.

Hard Skills

Databases: MySQL, PostgreSQL, Neo4j, Milvus

AI Framework: PyTorch, tensorflow, huggingface, mlflow, sklearn, OpenCV

Programming Languages: Python (R is a plus)

Databases Paradigms: NoSQL, SQL

Orchestration: Kubernetes, Kubeflow

Cloud Platforms : Azure, AWS

Versioning (code and templates): MlFlow, dvc, Neptune, Git, Github, Gitlab

Languages

Knowledge of languages: You have at least a command of English and one of the two national languages (NL/FR).

Skills

• Azure
• dvc
• huggingface
• Kubernetes
• MIFlow
• milvus
• mlflow
• MySql
• Neo4J
• Neptune
• noSQL
• PostgreSQL
• Python
• Pytorch
• SQL
• Tensorflow