AI Software Engineer

• 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.

Requirements

• 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.

• Experience with cloud platforms like AWS, Azure, and GCP.

• Good professional English communication skill.

Preferred Qualifications:

• Experience in team leadership.
• 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.
• Experience with DataBricks.
• Familiarity with computing cluster management tools such as SLURM.
• Experience in research (yes we encourage it) and publishing to scientific conferences.

Additional information

Benefits:

• 20 annual leave days alongside Vietnamese public holidays
• Competitive Salary & Bonus
• Free Kindergarten for staff’s kids
• Lunch Allowance
• Two-day weekend: Sat and Sun
• Premium Health Care PVI
• Yearly career/ performance evolution
• A flat organization (respect, teamwork, flexibility, transparency)
• 13th salary bonus/ competitive salary
• Cutting-edge technologies/ Scrum methodology/ Agile development
• Udemy/ LeAcademy/ English training course
• Great activities (Team Building, Company Trip, Weekly Happy Friday, …)
• Good work environment and good colleague (parties, holidays, team building activities)
• Self-organize project team
• Work with high profile multinational companies