On-Prem ML Scientist & MLOps Architect

Keystone Solutions; Brussel; À distance; EUR 78 000 - 100 000; Plein temps

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

ML

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

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.