AI Fresher (Computer Vision & Video Analytics)

Company Overview

At Motorola Solutions, we believe that everything starts with our people. We’re a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. We build and connect technologies to help protect people, property and places. Our solutions foster the collaboration that’s critical for safer communities, safer schools, safer hospitals, safer businesses, and ultimately, safer nations. Connect with a career that matters, and help us build a safer future.

Department Overview

Job Description

• Support the team in data collection, curation, annotation quality control, and edge case analysis to improve model robustness for Video Analytics problems.

• Research and train lightweight/experimental AI models (CNNs, Object Detection/Tracking, Vision Transformers, VLMs) to build PoCs (Proof of Concepts) for new ideas.

• Assist in optimizing and converting AI models using frameworks like PyTorch, TensorFlow/TensorFlow Lite, ONNX, or TensorRT for deployment.

• Conduct initial benchmarking and performance analysis of Computer Vision models on target device platforms (e.g., NVIDIA, Intel, edge hardware).

• Work closely with senior engineers to debug data/model issues, implement fixes, and optimize inference pipelines.

• Document experiment workflows, data findings, edge case insights, and PoC results to contribute to team knowledge sharing.

Basic 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) and Image Processing libraries (OpenCV).

• Strong analytical mindset, detail-oriented, and effective at identifying data anomalies or edge cases.

• High creativity, eager to learn, proactive attitude, and capable of solving problems both independently and within a team.

• Good reading and writing skills in English (capable of reading technical papers, documentation, and writing reports).

Preferred Qualifications

• Relevant coursework, personal projects, or prior internships in Computer Vision, Image Processing, or Video Analytics (e.g., Object Detection, Tracking, Action Recognition, Re-ID).

• Experience with model conversion/quantization tools (ONNX, TensorRT, OpenVINO, TFLite) or basic C/C++/CUDA programming is a plus.

• Active participation in tech communities, AI/ML hackathons, or Kaggle competitions.

• **Please state your internship period in the resume**

Travel Requirements

Relocation Provided

Position Type

Referral Payment Plan

EEO Statement

Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic. 

We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If you’d like to join our team but feel that you don’t quite meet all of the preferred skills, we’d still love to hear why you think you’d be a great addition to our team.