Data Scientist

Keystone Solutions

Brussel

À distance

EUR 78 000 - 100 000

Plein temps

Il y a 9 jours

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Résumé du poste

Keystone Solutions is seeking a Data Scientist to develop and deploy AI solutions for judicial police operations. You will design machine learning pipelines, monitor models, and deploy on-premise with best practices in ML engineering.

The role emphasizes security, ethics, and scalable system architecture. Ideal candidates hold a Master or PhD in CS/AI with 3+ years in data science, MLOps, and large-scale deployments across SQL/NoSQL databases and cloud platforms.

Qualifications

Master's or Doctorate in CS/AI or a related field.
Minimum 3 years in data science, MLOps, and ML.
Expertise in on-premise and cloud AI deployment (Azure, AWS, GCP).
Strong knowledge of SQL & NoSQL databases (PostgreSQL, MySQL, Milvus, Neo4J).
Experience with ML pipelines, orchestration (Kubeflow), and CI/CD for ML.

Responsabilités

Develop and maintain ML pipelines.
Deploy AI models on-premise and in cloud environments.
Adhere to best practices in ML engineering and software development.
Stay updated on MLOps and ML advancements, with focus on security and ethics.

Connaissances

MLOps

Big data

Python

English

Formation

Master or PhD in CS/AI

Outils

Docker

Kubernetes

Kubeflow

MLflow

SageMaker

Azure

AWS

GCP

PostgreSQL

MySQL

Neo4J

Milvus

PyTorch

TensorFlow

huggingface

Description du poste

Mission Overview:

As a Data Scientist, you will be engaged in a consultancy mission at a client site representing Keystone Solutions. You will directly participate in the design and development of AI and Data Science solutions to meet the operational and tactical needs of the judicial police. Your responsibilities will include the development of machine learning pipelines, as well as their monitoring and maintenance. You will also be responsible for deploying AI models for the organization, primarily on-premise, ensuring the implementation of best practices in programming and machine learning within your projects. Staying updated with the latest advancements in MLOps and machine learning will be essential. Attention to security, ethics, and legal aspects is a valued plus.

Key Responsibilities:

Develop and maintain machine learning pipelines.
Deploy AI models primarily on-premise.
Implement best programming and machine learning standards.
Conduct technological monitoring in MLOps and machine learning.

Profile Required:

You hold a master's or doctorate in computer science, AI, or a relevant field and have a minimum of 3 years of experience in data science, MLOps, and ML. You possess expertise in the following areas:

On-premise and cloud development: Expertise in developing and deploying AI solutions on-premise and in the cloud (Azure, AWS, GCP).
3+ years of industry experience: Experience in ML, MLOps, and big data with a focus on large-scale deployment.
Theoretical background and practical expertise in ML and deep learning.
Database Paradigm (SQL & NoSQL): Advanced knowledge in relational and non-relational databases (SQL and NoSQL) including PostGres, MySQL, Milvus, Neo4J, etc.
ML MLOps: Demonstrable experience in deploying ML models and expertise in MLOps.
Focus on big data: Experience in handling large structured and unstructured datasets.
Containerization and deployment: Experience with Docker and Kubernetes, as well as orchestration tools like Kubeflow. Mastery of ML pipelines (Kubeflow, MLflow, SageMaker, etc.).
CI/CD for ML: Mastery of implementing CI/CD for ML models and associated code.
Data Storage: Experience with various data storage solutions (data lakes, data warehouses, object storage (S3)).
System architecture: Ability to design an end-to-end ML system considering scalability, robustness, maintenance, and hardware constraints.

Hard Skills:

Databases: MySQL, PostgreSQL, Neo4j, Milvus
AI Framework: huggingface, mlflow, PyTorch, tensorflow, sklearn, OpenCV, vllm
Programming Languages: Python (R is a plus)
Orchestration and containerization: Docker, Kubernetes, Kubeflow
Software engineering: uv, ruff, black
Cloud Platforms: Azure, AWS
Versioning (code and models): MlFlow, Git, Github, Gitlab

Languages:

You are proficient in English and one of the two national languages (NL/FR).

Soft Skills:

Ability to unite diverse profiles around a common goal.
Prioritization skills: Identify critical tasks to achieve objectives while maintaining a long-term vision.
Clear and spontaneous communication: Effectively convey the right message at the right time and level.
Problem-solving and analytical thinking: Approach problems systematically and propose pragmatic solutions.
Collaboration: Work constructively with all stakeholders, fostering exchanges and co-construction of solutions.
Attention to detail: Ensure quality in code, model robustness, and compliance with organizational standards.
Rigor: Apply best practices and methodologies consistently, documenting work accurately.

Why Join Keystone Solutions:

At Keystone Solutions, you will experience a dynamic consultancy environment where you will work on diverse projects across various client settings. Our commitment to turbo-charged learning ensures that you will have ample opportunities for professional development and career growth.

Duration: 12/10/2026 - 31/12/2026 3 months (full time)

Skills required: