Model development & experimentation
Develop, train, fine-tune, and evaluate ML models (e.g., classification, forecasting, NLP, recommender systems).
Apply prompt engineering, fine-tuning, and retrieval-augmented generation (RAG) for LLM-based applications when relevant.
Define evaluation metrics and run controlled experiments (A/B tests, offline benchmarks).
Production deployment (MLOps)
Build scalable inference services (batch and real-time) and deploy to cloud/on-prem environments.
Implement CI/CD for ML, model versioning, reproducible training pipelines, and automated monitoring.
Monitor model performance, drift, latency, cost, and reliability; respond to incidents and regressions.
Data & pipeline engineering
Design data pipelines for feature creation, labeling, validation, and governance.
Work with structured/unstructured data (SQL, logs, text, images) and ensure data quality.
System integration
Integrate AI services into existing products via APIs, SDKs, and microservices.
Optimize model and system performance (quantization, distillation, caching, vector search tuning).
Responsible AI
Address privacy, security, bias, explainability, and compliance requirements.
Document model behavior, limitations, and operational playbooks.
Successful candidates will be part of a friendly, motivated and committed talent teams with various benefits and attractive offers:
• “FPT care” health insurance for FPT employees.
• Company shuttle buses provide convenient way of transportation for all employees.
• Other allowances: lunch allowance, working on-site allowance, etc.
• F-Town Campus provides many facilities for FPT employees such as football ground, basketball & volleyball, gym center, restaurant, cafeteria, etc.
Contact: NgaNT40@fpt.com- Zalo: 0388.747.888