Key Responsibilities

• Solution development: Translate high-level requirements into detailed subproblems, crafting comprehensive solutions that address the overall problem. These solutions may extend beyond machine learning, provided they effectively resolve the issues. 

• Machine Learning model development: Own the process of model development and fine-tuning for downstream tasks, including model architecture design, optimization techniques, and especially data crawling and cleaning. 

• Model Deployment: Deploy ML models (or participate in the deployment process) across various environments, including cloud, on-premises, mobile, and edge devices. 

• Work closely with Project Managers on both external and internal tasks. 

• Stay fresh and update your and team’s knowledge on state-of-the-arts AI methodologies and apply them to projects. 

Qualifications

• Bachelor’s, Master’s or PhD degree in Computer Science, Data Science, Machine Learning, or a related field, or equivalent working experience. 

• 3+ years of experience in software development, particularly in machine learning-related projects. 

• Knowledge in Generative AI, including Large Language Models (LLMs) and diffusion models. 

• Proficiency in Python. 

• Extensive experience with API development using frameworks such as Flask, Django, and FastAPI. 

• Experience with asynchronous programming and tools like asyncio and Celery. 

• Proficiency with API documentation tools such as Swagger (OpenAPI) and Postman. 

• Experience with MLOps and integrating machine learning models with APIs. 

• Hands-on experience with databases, including SQL, NoSQL, vector databases and features stores. 

• Working knowledge of containerisation technologies like Docker and Kubernetes. 

• Good professional English communication skill. 

Preferred Qualifications:  

• Proficiency with machine learning frameworks such as PyTorch, NumPy, Pandas, and LangChain. 

• Familiarity with CI/CD pipelines and tools such as Jenkins, GitLab CI, or GitHub Actions. 

• Experience with deploying ML models to edge devices, mobile devices. 

• Experience in frontend development. 

• Familiarity with computing cluster management tools such as SLURM. 

Benefits

• Up to 20 annual leave days
• Yearly career/performance evolution
• Extra Healthcare Insurance (MIC)
• A flat organization (respect, teamwork, flexibility, transparency)
• 13th salary bonus/ competitive salary
• Great activities (Team Building, Company Trip, Weekly Happy Friday, …)