Data Scientist

ph3Mission Overview: /h3 pAs 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. /p h3Key

Responsibilities:
/h3 ul liDevelop and maintain machine learning pipelines. /li liDeploy AI models primarily on-premise. /li liImplement best programming and machine learning standards. /li liConduct technological monitoring in MLOps and machine learning. /li /ul h3Profile Required: /h3 pYou 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: /p ul liOn-premise and cloud development: Expertise in developing and deploying AI solutions on-premise and in the cloud (Azure, AWS, GCP). /li li3+ years of industry

experience:
Experience in ML, MLOps, and big data with a focus on large-scale deployment. /li liTheoretical background and practical expertise in ML and deep learning. /li liDatabase Paradigm (SQL NoSQL): Advanced knowledge in relational and non-relational databases (SQL and NoSQL) including PostGres, MySQL, Milvus, Neo4J, etc. /li liML MLOps: Demonstrable experience in deploying ML models and expertise in MLOps. /li liFocus on big data: Experience in handling large structured and unstructured datasets. /li liContainerization and deployment: Experience with Docker and Kubernetes, as well as orchestration tools like Kubeflow. Mastery of ML pipelines (Kubeflow, MLflow, SageMaker, etc.). /li liCI/CD for ML: Mastery of implementing CI/CD for ML models and associated code. /li liData Storage: Experience with various data storage solutions (data lakes, data warehouses, object storage (S3)). /li liSystem architecture: Ability to design an end-to-end ML system considering scalability, robustness, maintenance, and hardware constraints. /li /ul h3Hard

Skills:
/h3 ul liDatabases: MySQL, PostgreSQL, Neo4j, Milvus /li liAI Framework: huggingface, mlflow, PyTorch, tensorflow, sklearn, OpenCV, vllm /li liProgramming Languages: Python (R is a plus) /li liOrchestration and containerization: Docker, Kubernetes, Kubeflow /li liSoftware engineering: uv, ruff, black /li liCloud Platforms: Azure, AWS /li liVersioning (code and models): MlFlow, Git, Github, Gitlab /li /ul h3Languages: /h3 pYou are proficient in English and one of the two national languages (NL/FR). /p h3Soft

Skills:
/h3 ul liAbility to unite diverse profiles around a common goal. /li liPrioritization

skills:
Identify critical tasks to achieve objectives while maintaining a long-term vision. /li liClear and spontaneous communication: Effectively convey the right message at the right time and level. /li liProblem-solving and analytical thinking: Approach problems systematically and propose pragmatic solutions. /liliCollaboration: Work constructively with all stakeholders, fostering exchanges and co-construction of solutions. /li liAttention to detail: Ensure quality in code, model robustness, and compliance with organizational standards. /li liRigor: Apply best practices and methodologies consistently, documenting work accurately. /li /ul h3Why Join Keystone Solutions: /h3 pAt 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. /p pbDuration: /b 12/10/2026
- 31/12/2026 3 months (full time) /p h3Skills required: /h3 ul libAzure /b
- Level: Confirmed
- Most recent: Any time /li libDocker /b
- Level: Confirmed
- Most recent: Any time /li libGIT /b
- Level: Confirmed
- Most recent: Any time /li libGitHub /b
- Level: Confirmed
- Most recent: Any time /li libGitlab /b
- Level: Confirmed
- Most recent: Any time /li libhuggingface /b
- Level: Confirmed
- Most recent: Any time /li libkubeflow /b
- Level: Confirmed
- Most recent: Any time /li libKubernetes /b
- Level: Confirmed
- Most recent: Any time /li libmilvus /b
- Level: Confirmed
- Most recent: Any time /li libmlflow /b
- Level: Confirmed
- Most recent: Any time /li libMySql /b
- Level: Confirmed
- Most recent: Any time /li libNeo4J /b
- Level: Confirmed
- Most recent: Any time /li libPostgreSQL /b
- Level: Confirmed
- Most recent: Any time /li libPython /b -