Junior AI ML Engineer

Role overview

Responsibilities

• check_circle Evaluate and select publicly available machine learning models to address use cases such as text analysis, document processing or content classification
• check_circle Integrate selected models into Python-based services exposed through containerized APIs
• check_circle Adapt, fine-tune or develop machine learning models according to project requirements
• check_circle Design and prototype innovative AI-driven applications in an exploratory and iterative manner
• check_circle Deploy solutions within an on‑premise infrastructure and ensure smooth integration with existing systems
• check_circle Collaborate with technical and non-technical stakeholders to translate business needs into AI solutions
• check_circle Contribute to continuous improvement of development and deployment practices

Basic qualifications

• Master’s degree in computer science, data science or a related engineering field
• Between 1 and 3 years of professional experience in machine learning or AI-related roles
• Solid hands-on experience with model development and fine-tuning using PyTorch
• Good programming skills in Python and general software development practices
• Understanding of web application fundamentals (APIs, HTTP communication, backend/frontend separation)
• Familiarity with containerization tools and development workflows (Docker, Git, CI/CD)
• Basic knowledge of SQL; exposure to Kubernetes or automation tools is an advantage
• Fluent in English; French is considered a plus, along with a strong interest in impactful, mission-driven projects