AI Engineer Machine Learning, Python

About the Role

As an AI Engineer, you will be at the forefront of developing and integrating advanced AI technologies into our products. You'll work on cutting-edge AI solutions such as personalized meal planning, food recognition, coaching copilot, and AI recommendation systems. Collaborating with cross-functional teams, you will design, implement, and deploy AI-driven systems that provide innovative, user-centric solutions.

What You'll Do

• Design, develop, and fine-tune machine learning and AI models, including
• Retrieval-Augmented Generation (RAG), LLMs, and recommendation systems.
• Build and maintain workflows for multi-agent systems, agent workflows, and Personal AI Assistants.
• Integrate and optimize personalized coaching and meal planning algorithms.
• Work with large datasets to preprocess, analyze, and extract meaningful insights.
• Collaborate with Product and Engineering teams to deploy AI models into production environments.
• Continuously experiment and innovate, leveraging the latest advancements inAI and data science.

Technologies We Use

• AI/ML Stack: Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), fine-tuning techniques, multi-agent systems, agent workflows.
• Development Languages: Python, TypeScript
• Infrastructure: TensorFlow, PyTorch, LangChain, Hugging Face, GCP, Serverless architecture
• Data & Tools: SQL, PostgreSQL, MongoDB, Redis, Pandas, NumPy
• Recommendation Systems: Personal AI Assistant, collaborative filtering,content-based filtering

Required Skills & Experience

• Educational Background: Bachelor's or Master's in Computer Science, Data Science, Machine Learning, or related field.
• Experience: 2+ years of professional experience in AI/ML or data scienceroles, with a proven track record of deploying AI solutions in production.
• Technical Expertise:

1. Proficient in machine learning, deep learning, and natural language processing techniques.
2. Experience working with LLMs, fine-tuning, and multi-agent systems.
3. Strong understanding of recommendation systems, including collaborative and content-based filtering.
4. Familiarity with AI workflows, including RAG, agent workflows, and personalization strategies.

• Programming Skills: Proficient in Python, with experience in AI/ML frameworks like TensorFlow, PyTorch, and LangChain.
• Data Handling: Experience working with large datasets, data preprocessing, and analytics using tools like Pandas and NumPy.
• Soft Skills: A team player with strong problem-solving skills, the ability to communicate complex ideas effectively, and a passion for innovation.

• Competitive salary and benefits.
• Generous leave policy:

1. Public holidays
2. 12 days annual leave
3. 3 additional Company Holidays (Christmas, Vietnamese Family Day, Birthday leave)

• Comprehensive insurance coverage and allowances (parking, transportation).
• Recreational facilities (billiards, table tennis) for a balanced work-life experience.