UTS

UTS is hiring AI/ML Interns to work on advanced signal processing, radar data analysis, and machine learning applications. This role involves working with RF/IQ datasets, deep learning models, and real-world simulation environments, with opportunity for full-time conversion.

Verified from company hiring details.

Job Snapshot

Key Responsibilities

• Process and analyze RF/IQ and radar datasets using Python
• Build ML/DL models for signal classification and detection
• Work on spectrogram and time-frequency feature extraction
• Simulate radar and drone scenarios using synthetic data
• Integrate trained models into software systems
• Document experiments, results, and performance metrics

Required Skills

• Python, NumPy, Pandas, Matplotlib
• Machine Learning frameworks (Scikit-learn, PyTorch, TensorFlow)
• Deep Learning for classification and object detection
• Understanding of time-series data
• Strong analytical and problem-solving skills

Eligibility Checklist Before You Apply

• You meet the stated eligibility: Final Year / Recent Graduates (CSE, ECE, AI/ML, Data Science)
• You have checked location and work type expectations.
• You have verified the official application link opens correctly.
• You are ready with updated resume, marksheets, and ID proof.
• You noted deadline and saved confirmation after applying.

Preparation Tips for Better Shortlisting

• Read the complete eligibility criteria for Junior Application Engineer – AI/ML (Intern) before applying.
• Keep an updated resume in PDF format with role-relevant keywords.
• Apply early on the official portal to avoid last-day technical issues.
• Prepare 2-3 project explanations you can discuss in screening rounds.
• Never pay money to any third party for interview calls or job confirmation.

Important Notes

⚠️ Requires 12-month internship commitment or 24-month full-time agreement. 6-day work week (Mon–Sat).

Who Should Apply

• Candidates who match this eligibility: Final Year / Recent Graduates (CSE, ECE, AI/ML, Data Science).
• Applicants comfortable with Hyderabad, India and Internship / Full Time.
• People who can complete the application carefully on the official portal with valid documents.

Who Should Skip

• Anyone not matching the required qualification or graduation year criteria.
• Candidates unwilling to relocate or follow the work schedule mentioned by the employer.
• Applicants planning to use unofficial agents or paid referral promises.

Selection Process (Typical Flow)

• Application review and profile shortlisting.
• Online assessment, technical task, or aptitude round (varies by employer).
• Technical/functional interview and final HR discussion.
• Offer release directly by the employer for selected candidates.

How to Apply Safely

Use only the official application link below. Do not share sensitive documents outside the employer portal. If any person asks for payment for selection, treat it as a scam and report immediately.