AI Engineer Tech Talent Training Program

Company: AvePoint Industry: Software / AI / Cloud / SaaS Solutions Location: Ho Chi Minh City, Vietnam Level: Entry to Junior (0-3 years) Number of Openings: 3-5 positions Reports to: AI R&D Manager AvePoint is a global leader in data management, security, and digital transformation, serving over 25,000 enterprise clients in 100+ countries. The company builds AI-powered SaaS solutions to migrate, manage, and protect data across Microsoft 365, Google Workspace, and Salesforce.

It invests heavily in AI and SaaS R&D, with a major regional hub in Singapore and active expansion in Vietnam. Job Overview: As an AI Engineer, you will develop, optimize, and integrate machine learning models into AvePoint s SaaS systems. The role bridges data science, software engineering, and DevOps, applying AI to real-world use cases such as document classification, anomaly detection, and recommendation systems.

Key

Responsibilities: Design, train, and evaluate ML/DL models using frameworks like TensorFlow / PyTorch. Build data pipelines (ETL) and perform data preprocessing for large datasets. Implement and deploy trained models via APIs, Docker, or cloud platforms (AWS / Azure ML). Collaborate with engineers to integrate AI components into SaaS environments. Optimize models for scalability, latency, and cost efficiency. Research emerging AI technologies and propose new approaches to improve system intelligence.

Requirements: - Technical Bachelor's degree in Computer Science, AI, Data Science, or related field. js). Proficient in ML fundamentals, neural network architectures (CNN, RNN/LSTM, Transformers). Familiar with data structures, algorithms, and complexity optimization. Experience with Git, CI/CD pipelines, modular code design. Understanding of cloud deployment, serverless systems, and real-time inference.

- Soft Skills Able to explain complex AI models in practical, business-friendly terms. Strong team collaboration across R&D and product teams. High ownership and passion for using AI to solve real-world problems. Curious, adaptable, and capable of structured problem-solving. 000000.