AI Fresher (Computer Vision & Video Analytics)

Motorola Solutions
Vietnam
Workplace: OnsiteInternshipFunction: Data Analytics & Business IntelligenceEducation: bachelorsSkills: ["Analytical mindset","Detail-oriented","Problem-solving","Creativity","Proactive","Teamwork"]

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.

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FursaFursa
Motorola Solutions
Motorola Solutions
1 month 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: 40 days 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
Glassdoor: 3.7
WebsiteLinkedIn