10 hours ago

AI Fresher (Computer Vision & Video Analytics)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 10 hours agoStatus: Live

Job Summary

Support Vietnam AI Engineering by collecting, curating, annotating, and validating video analytics data, including edge-case analysis to improve model robustness. Research and train lightweight/experimental computer vision models (CNNs, object detection/tracking, Vision Transformers, VLMs) to build proof-of-concepts. Optimize and convert models for deployment using PyTorch, TensorFlow Lite, ONNX, or TensorRT, benchmark performance on target devices, and document results while working with senior engineers to debug issues.

Location: Vietnam

Workplace: Onsite

Employment Type: Internship

Job Function: Data Analytics & Business Intelligence

Seniority: Intern level

Key Responsibilities

•Support data collection, curation, annotation quality control, and edge case analysis to improve video analytics model robustness.
•Research and train lightweight/experimental AI models (CNNs, object detection/tracking, Vision Transformers, VLMs) to build proof-of-concepts.
•Optimize and convert AI models for deployment using frameworks like PyTorch, TensorFlow Lite, ONNX, or TensorRT.
•Conduct initial benchmarking and performance analysis of computer vision models on target device platforms (e.g., NVIDIA, Intel, edge hardware).
•Work with senior engineers to debug data/model issues, implement fixes, optimize inference pipelines, and document experiment results.

Key Requirements

•Final-year student (Bachelor's degree) in Computer Science, Machine Learning, Data Science, or a related technical field.
•Basic understanding of Machine Learning and Computer Vision concepts/architectures (e.g., CNNs, YOLO, Vision Transformers/VLMs) including training and evaluation metrics.
•Proficiency in Python and familiarity with deep learning frameworks (PyTorch or TensorFlow) plus image processing libraries (OpenCV).
•Strong analytical mindset and attention to detail for identifying data anomalies and edge cases.
•Good reading and writing skills in English (able to read technical papers/documentation and write reports).

Education:Bachelor's in Computer Science, Machine Learning, Data Science, or a related technical field

Skills:Analytical mindsetDetail-orientedProblem-solvingCreativityProactiveTeamwork

Languages:English

Tech Stack:PythonPyTorchTensorFlowTensorFlow LiteONNXTensorRTOpenCVCUDAC++CNVIDIAIntelCNNsYOLOVision TransformersVLMsObject DetectionObject TrackingAction RecognitionRe-ID

Company Brief

Motorola Solutions

Provides mission-critical communications products and services, including radios, software, video security, and command center solutions for public safety, government, and enterprise customers worldwide.

Industry: Surveillance & Security Hardware

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Chicago, United States

Founded: 1928

Glassdoor: 3.7

Website LinkedIn

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Motorola Solutions

10 hours ago

AI Fresher (Computer Vision & Video Analytics)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 10 hours agoStatus: Live

Job Summary

Location: Vietnam

Workplace: Onsite

Employment Type: Internship

Job Function: Data Analytics & Business Intelligence

Seniority: Intern level

Key Responsibilities

•Support data collection, curation, annotation quality control, and edge case analysis to improve video analytics model robustness.
•Research and train lightweight/experimental AI models (CNNs, object detection/tracking, Vision Transformers, VLMs) to build proof-of-concepts.
•Optimize and convert AI models for deployment using frameworks like PyTorch, TensorFlow Lite, ONNX, or TensorRT.
•Conduct initial benchmarking and performance analysis of computer vision models on target device platforms (e.g., NVIDIA, Intel, edge hardware).
•Work with senior engineers to debug data/model issues, implement fixes, optimize inference pipelines, and document experiment results.

Key Requirements

•Final-year student (Bachelor's degree) in Computer Science, Machine Learning, Data Science, or a related technical field.
•Basic understanding of Machine Learning and Computer Vision concepts/architectures (e.g., CNNs, YOLO, Vision Transformers/VLMs) including training and evaluation metrics.
•Proficiency in Python and familiarity with deep learning frameworks (PyTorch or TensorFlow) plus image processing libraries (OpenCV).
•Strong analytical mindset and attention to detail for identifying data anomalies and edge cases.
•Good reading and writing skills in English (able to read technical papers/documentation and write reports).

Education:Bachelor's in Computer Science, Machine Learning, Data Science, or a related technical field

Skills:Analytical mindsetDetail-orientedProblem-solvingCreativityProactiveTeamwork

Languages:English

Tech Stack:PythonPyTorchTensorFlowTensorFlow LiteONNXTensorRTOpenCVCUDAC++CNVIDIAIntelCNNsYOLOVision TransformersVLMsObject DetectionObject TrackingAction RecognitionRe-ID

Company Brief

Motorola Solutions

Industry: Surveillance & Security Hardware

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Chicago, United States

Founded: 1928

Glassdoor: 3.7

Website LinkedIn