- Design develop and optimize AI/ML solutions for computer vision including: Object detection classification tracking PPE detection fall detection and hazard recognition
- Build and improve end-to-end ML workflows (Data preprocessing dataset labeling training validation deployment)
- Develop scalable ML pipelines for real-time video analytics using: NVIDIA DeepStream TensorRT CUDA
- Implement inference on edge devices and/or cloud environments with low-latency performance
- Evaluate and tune models for accuracy recall/precision latency and robustness in real-world scenarios
- Integrate models into production systems via APIs streaming pipelines or event workflows
- Work closely with product software and domain teams to convert safety-related requirements into technical solutions
- Write clean maintainable code following best practices; contribute to technical documentation
- Stay updated on latest ML advancements especially in computer vision
Qualifications :
Requirement:
- Intermediate English proficiency or better
- 1 years experience in AI/ML or Computer Vision engineering
- Strong experience with Python; familiarity with C or JS is a plus
- Hands-on experience with PyTorch or TensorFlow
- Experience with object detection / tracking models (YOLO SSD Faster-RCNN SORT/DeepSORT)
- Knowledge of:
- OpenCV GStreamer FFmpeg or similar libraries
- GPU acceleration; familiarity with CUDA TensorRT DeepStream is a strong plus
- Experience with model performance tuning and evaluation metrics
- Good problem-solving and communication skills
- Growth mindset; eager to learn and work in real-world applied ML
Nice to have:
- Experience deploying models to production (cloud or edge)
- Experience with edge devices (Jetson Xavier Orin)
- Familiarity with ONNX
- Experience with MLOps tools (MLflow ClearML Airflow Kubeflow) and Cloud services (AWS / GCP / Azure)
- Experience with annotation/data management platforms (Label Studio Roboflow)
Additional Information :
Perks Youll Enjoy
- Working in one of the Best Places to Work in Vietnam
- Building large-scale & global software products
- Working & growing with Passionate & Talented Team
- Diverse careers opportunities with Software Outsourcing Software Product Development IT Solutions & Consulting
- Attractive Salary and Benefits
- Performance appraisals every year and performance bonus
- Onsite opportunities: short-term and long-term assignments in North American (U.S Canada) Europe Asia.
- Flexible working time
- Various training on hot-trend technologies best practices and soft skills
- Premium healthcare insurance for you and your loved ones
- Company trip big annual year-end party every year team building etc.
- Fitness & sport activities: football tennis table-tennis badminton yoga swimming
- Joining community development activities: 1% Pledge charity every quarter blood donation public seminars career orientation talks
- Free in-house entertainment facilities (foosball ping pong gym) coffee and snack (instant noodles cookies candies)
And much more join us and let yourself explore other fantastic things!
Remote Work :
No
Employment Type :
Full-time
Design develop and optimize AI/ML solutions for computer vision including: Object detection classification tracking PPE detection fall detection and hazard recognitionBuild and improve end-to-end ML workflows (Data preprocessing dataset labeling training validation deployment)Develop scalable ML pip...
- Design develop and optimize AI/ML solutions for computer vision including: Object detection classification tracking PPE detection fall detection and hazard recognition
- Build and improve end-to-end ML workflows (Data preprocessing dataset labeling training validation deployment)
- Develop scalable ML pipelines for real-time video analytics using: NVIDIA DeepStream TensorRT CUDA
- Implement inference on edge devices and/or cloud environments with low-latency performance
- Evaluate and tune models for accuracy recall/precision latency and robustness in real-world scenarios
- Integrate models into production systems via APIs streaming pipelines or event workflows
- Work closely with product software and domain teams to convert safety-related requirements into technical solutions
- Write clean maintainable code following best practices; contribute to technical documentation
- Stay updated on latest ML advancements especially in computer vision
Qualifications :
Requirement:
- Intermediate English proficiency or better
- 1 years experience in AI/ML or Computer Vision engineering
- Strong experience with Python; familiarity with C or JS is a plus
- Hands-on experience with PyTorch or TensorFlow
- Experience with object detection / tracking models (YOLO SSD Faster-RCNN SORT/DeepSORT)
- Knowledge of:
- OpenCV GStreamer FFmpeg or similar libraries
- GPU acceleration; familiarity with CUDA TensorRT DeepStream is a strong plus
- Experience with model performance tuning and evaluation metrics
- Good problem-solving and communication skills
- Growth mindset; eager to learn and work in real-world applied ML
Nice to have:
- Experience deploying models to production (cloud or edge)
- Experience with edge devices (Jetson Xavier Orin)
- Familiarity with ONNX
- Experience with MLOps tools (MLflow ClearML Airflow Kubeflow) and Cloud services (AWS / GCP / Azure)
- Experience with annotation/data management platforms (Label Studio Roboflow)
Additional Information :
Perks Youll Enjoy
- Working in one of the Best Places to Work in Vietnam
- Building large-scale & global software products
- Working & growing with Passionate & Talented Team
- Diverse careers opportunities with Software Outsourcing Software Product Development IT Solutions & Consulting
- Attractive Salary and Benefits
- Performance appraisals every year and performance bonus
- Onsite opportunities: short-term and long-term assignments in North American (U.S Canada) Europe Asia.
- Flexible working time
- Various training on hot-trend technologies best practices and soft skills
- Premium healthcare insurance for you and your loved ones
- Company trip big annual year-end party every year team building etc.
- Fitness & sport activities: football tennis table-tennis badminton yoga swimming
- Joining community development activities: 1% Pledge charity every quarter blood donation public seminars career orientation talks
- Free in-house entertainment facilities (foosball ping pong gym) coffee and snack (instant noodles cookies candies)
And much more join us and let yourself explore other fantastic things!
Remote Work :
No
Employment Type :
Full-time
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