Mô tả công việc
The AI Engineer is responsible for designing, developing, and deploying production-grade Artificial Intelligence solutions. The role focuses on leveraging Generative AI (LLMs) and Machine Learning to solve complex logistics and freight management challenges. Beyond model development, this position requires a strong grasp of MLOps to ensure that AI models are scalable, monitored, and seamlessly integrated into the enterprise ecosystem via APIs and middleware.
MLOps & Infrastructure
• Deployment & Orchestration: Containerize AI services using Docker and manage large-scale deployments on Kubernetes clusters.
• Pipeline Automation: Build and maintain robust CI/CD pipelines for automated model testing, deployment, and versioning.
• System Integration: Collaborate with System Architects to integrate AI modules into internal software and third-party vendor systems (Accounting, GPS, Freight Management) via APIs and Enterprise Service Bus (ESB) architectures.
Data Strategy & Monitoring
• Vector Infrastructure: Design and manage Vector Databases (e.g., Pinecone, Milvus, or Weaviate) to support semantic search and GenAI capabilities.
• Performance Monitoring: Develop telemetry dashboards to monitor model health, data drift, and hardware utilization (CPU/GPU/RAM).
Model Development & Innovation
• Architect AI Solutions: Design and implement Generative AI applications, specifically utilizing RAG (Retrieval-Augmented Generation) and Agentic workflows.
• Full-cycle ML: Lead the end-to-end development of ML models, from data collection and preprocessing to training, validation, and hyperparameter tuning.
• Model Optimization: Fine-tune open-source models (e.g., Llama, Mistral) and optimize inference speed for low-latency, real-time logistics applications.
• Model Reliability & Trust: Ensure AI outputs are accurate, grounded, and minimize "hallucinations" to maintain user trust in automated decision-making.
• System Responsiveness: Optimize inference latency to ensure AI features (such as chatbots or automated routing) meet the Real-Time requirements of logistics operations.
• User-Centric Feedback Loops: Collaborate with cross-functional teams to translate user feedback into technical model improvements and feature refinements.
• Quality Assurance: Proactively debug and resolve production issues that impact the end-user experience, ensuring high system availability and consistency.
Yêu cầu
• Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field.
• 2+ years of professional experience in
Software Engineering or AI/ML roles.
• Proven track record of deploying at least one AI-driven product into a production environment.
• Programming: Mastery of Python and its ecosystem (Pandas, NumPy, Scikit-learn).
• AI Frameworks: Deep experience with PyTorch or TensorFlow, and GenAI tools like LangChain, LlamaIndex, or HuggingFace.
• DevOps/MLOps: Proficiency in Docker, Kubernetes, and Git. Experience with ML lifecycle tools (e.g., MLflow, DVC, or BentoML) is highly preferred.
• Database Systems: Solid understanding of SQL/NoSQL and specialized experience with Vector Databases.
• APIs: Strong experience in developing and consuming RESTful APIs (FastAPI, Flask, or Django).
Language & Soft Skills
• English: Professional proficiency in reading and writing technical documentation and research papers.
• Strong analytical mindset with a focus on solving real-world operational problems.
• Proactive attitude toward learning and implementing emerging AI technologies.
Quyền lợi
Thưởng
Lương tháng 13 + Performance Bonus (+ Incentive)
Chăm sóc sức khoẻ
Bảo hiểm sức khỏe và Khám sức khỏe thường niên
Đào tạo
Các chương trình đào tạo nội bộ và thuê ngoài
Thông tin khác
NGÀY ĐĂNG
10/06/2026
CẤP BẬC
Nhân viên
NGÀNH NGHỀ
Công Nghệ Thông Tin/Viễn Thông > Data Engineer/Data Analyst/AI
KỸ NĂNG
SQL, Data Analysis, Data Engineer, AI, Machine Learning
LĨNH VỰC
Phần Mềm CNTT/Dịch vụ Phần mềm
NGÔN NGỮ TRÌNH BÀY HỒ SƠ
Bất kỳ
SỐ NĂM KINH NGHIỆM TỐI THIỂU
2
QUỐC TỊCH
Không hiển thị
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Thông tin chung
- Thu nhập: Từ $ 1,000 /tháng
Nơi làm việc
- 52 Đường Trường Sơn, Phường 2, Tân Bình, Hồ Chí Minh, Việt Nam
Cách thức ứng tuyển
Ứng viên nộp hồ sơ trực tuyến bằng cách bấm nút Ứng tuyển bên dưới:
Hạn nộp: 10/07/2026