Data & Ai Engineer (Computer Vision & Forecasting)

Mức lương: Thỏa thuận
Địa điểm: Hồ Chí Minh
Kinh nghiệm: Trên 3 năm
Bằng cấp: Trung cấp - Nghề trở lên

Hạn nộp hồ sơ: 30/06/2026 (Còn 26 ngày)

Công Ty Cổ Phần Greenfeed Việt Nam

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Thông tin
Việc làm

Địa điểm làm việc:

Hồ Chí Minh

72 - 74 Nguyễn Thị Minh Khai, Võ Thị Sáu, Quận 3, Hồ Chí Minh

(Trước sáp nhập: Quận 3, Hồ Chí Minh | Sau sáp nhập: Xuân Hòa, Hồ Chí Minh)

CV CỦA BẠN CÓ PHÙ HỢP VỚI VIỆC LÀM NÀY?

Chi Tiết Công Việc

Mô tả công việc:

We are seeking a highly technical Data & AI Engineer with strong expertise in Computer Vision, Time-series Forecasting, and high-performance backend systems.
You will be responsible for building end-to-end AI systems, from model development to production deployment at scale, especially in real-time and data-intensive environments.
AI/ML Development: Develop AI/ML solutions for: Computer Vision: detection, segmentation, tracking, OCR; Forecasting: demand prediction, anomaly detection, predictive analytics.
Build and optimize deep learning models (CNNs, Transformers, LSTM).
Productionize research models into scalable systems.
System & Backend Development: Build high-performance AI services using: Node.js / Go / Rust / C++.
Develop real-time inference pipelines and streaming systems.
Optimize latency, throughput, and resource utilization.
Computer Vision & Real-time Systems: Design and deploy real-time video/camera processing systems.
Optimize models for GPU and edge devices (TensorRT, ONNX).
Handle large-scale image/video processing pipelines.
Forecasting & Data Science: Apply: Statistical models: ARIMA, Prophet; ML/DL models: XGBoost, LSTM, Transformer.
Perform feature engineering on time-series data.
Evaluate models using metrics such as MAPE, RMSE, MAE.
Data Engineering & MLOps: Build scalable data pipelines (batch & streaming: Kafka, Spark).
Implement MLOps practices (CI/CD, model versioning, monitoring).
Deploy systems using Docker, Kubernetes, and cloud platforms.
Architecture & Collaboration: Design distributed systems and microservices architecture.
Ensure system scalability, reliability, and observability.
Collaborate with Product, Data, and Engineering teams.
Mentor junior engineers and conduct code/architecture reviews.

Yêu cầu công việc:

Core Technical Skills (Must-have): Strong programming skills: Python (PyTorch, TensorFlow); At least one system-level language: C++ / Rust / Go.
Experience with: Computer Vision (OpenCV, YOLO, Detectron2); Time-series forecasting & predictive modeling.
Solid understanding of: ML/DL algorithms and optimization; System design and distributed systems.
Backend & Systems: Experience building: Microservices architecture; High-performance systems (low latency, high throughput).
Familiar with: REST APIs, gRPC; Asynchronous / concurrent programming.
MLOps & Data: Hands-on experience with: ML pipelines (MLflow, Kubeflow); Data pipelines (Airflow, Kafka, Spark); Containerization (Docker, Kubernetes).
Preferred Qualifications: Experience with edge AI (NVIDIA Jetson, TensorRT).
Experience with real-time systems or video analytics.
Familiarity with multimodal or GenAI models.
Education & Experience: Bachelor’s or Master’s degree in Computer Science, AI, or related fields.
Minimum 3+ years of experience in AI/Data Engineering.
Proven experience deploying production AI systems.

Kỹ năng:

Data Warehouse , SQL , Big Data