AI/ML Engineering Manager (Python,AI,OOP)

Top 3 reasons to join us

• Highly competitive Salary & Benefits
• Provide Macbook and other necessary equipment
• Opportunity to be on site International Market

Job description

Objective:

• Design, develop, and implement artificial intelligence solutions, including machine learning models and algorithms.
• Work with large datasets, build and optimize AI systems and collaborate with software engineers and data scientists.

Responsibilities:

1. Design, develop and deploy AI/ML models for applications in Generative AI, Computer Vision and predictive analytics
2. Fine-tune and customize LLMs (e.g., GPT, LLaMA,…) for internal use cases such as document processing, chatbots and knowledge automation
3. Develop computer vision models for object detection, quality inspection, anomaly detection
4. Build and deploy forecasting models (time series, demand prediction, trend analysis,…).
5. Design and implement recommender systems (content-based, collaborative filtering, hybrid approaches)
6. Build and deploy AI Agents using frameworks such as Google AI Development Kit (ADK), LangChain, and other state-of-the-art tools
7. Collaborate with cross-functional teams (Software, DevOps, Product) to integrate AI models into production systems
8. Evaluate and select appropriate tools, frameworks and platforms for AI development and deployment
9. Monitor model performance and implement continuous improvements based on real-world data
10. Document system architecture, workflows and technical decisions

Your skills and experience

1. Bachelor or higher degree in Computer Science or related fields.
   1+ years of experience in Generative AI (LLMs, Diffusion models, Prompt Engineering), machine learning and deep learning (CNNs, RNNs, Transformers,…), NLP and computer vision
2. Proficiency in Python programming, Object-Oriented Programming (OOP) and data structures & algorithms
3. Experience in AI/ML frameworks (e.g. PyTorch, TensorFlow) and LLM platforms/ APIs (e.g. OpenAI GPT) and tools such as GitHub Copilot.
4. Proven experience in developing and refining prompts for AI applications
5. Experience with Retrieval-Augmented Generation (RAG) techniques is highly desirable
6. Familiarity with MLOps, version control (Git), and containerization (Docker)

Preferred Qualifications

1. Knowledge of data pipeline tools and APIs for integration (RESTful APIs, ETL tools)
2. Publications or contributions to open-source AI/ML projects is a plus

Why you'll love working here

• 13th-month salary calculated based on actual working time 
• Moon cake, Tet Gift
• Laptop and monitor provided for work.
• Learning and certification support.