Summary

JOB RESPONSIBILITIES

1. 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.
2. 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.
3. Model Deployment: Deploy ML models (or participate in the deployment process) across various environments, including cloud, on-premises, mobile, and edge devices.
4. Work closely with Project Managers on both external and internal tasks.
5. Take part in Presales activities for solution architecture and consultant.
6. Lead junior AI Engineers in project tasks and support their professional development.
7. Stay fresh and update your and team’s knowledge on state-of-the-arts AI methodologies and apply them to projects.

JOB REQUIREMENTS

1. Bachelor’s, Master’s or PhD degree in Computer Science, Data Science, Machine Learning, or a related field, or equivalent working experience.
2. 5+ years of experience in software development, particularly in machine learning-related projects.
3. Proficiency in Python.
4. Extensive experience with API development using frameworks such as Flask, Django, and FastAPI.
5. Experience with asynchronous programming and tools like asyncio and Celery.
6. Proficiency with API documentation tools such as Swagger (OpenAPI) and Postman.
7. Experience with MLOps and integrating machine learning models with APIs.
8. Hands-on experience with databases, including SQL, NoSQL, vector databases and features stores.
9. Working knowledge of containerisation technologies like Docker and Kubernetes.
10. Experience with cloud platforms like AWS, Azure, and GCP.
11. Knowledge in Generative AI, including Large Language Models (LLMs) and diffusion models.
12. Good professional English communication skill.

Preferred Qualifications:

1. Experience in team leadership.
2. Proficiency with machine learning frameworks such as PyTorch, NumPy, Pandas, and LangChain.
3. Familiarity with CI/CD pipelines and tools such as Jenkins, GitLab CI, or GitHub Actions.
4. Experience with deploying ML models to edge devices, and mobile devices.
5. Experience in front-end development.
6. Experience with DataBricks.
7. Familiarity with computing cluster management tools such as SLURM.
8. Experience in research (yes we encourage it) and publishing to scientific conferences.

BENEFITS

1. Fringe benefits (20 leave days/ Kindergarten & lunch allowance)
2. Yearly career/ performance evolution
3. Premium Extra Healthcare Insurance
4. A flat organization (respect, teamwork, flexibility, transparency)
5. 13th salary bonus/ competitive salary
6. Cutting-edge technologies/ Scrum methodology/ Agile development
7. Udemy/ LeAcademy/ English training course
8. Great activities (Team Building, Company Trip, Weekly Happy Friday, …)

Skills

• AWS
• Communications Skills
• Database Management
• Development
• Leadership
• Machine Learning
• Python
• SQL