Quest Global Internship 2027 | AI Engineering Intern | Thiruvananthapuram — Apply Now

Quest Global Internship 2027 – full job details

The Quest Global Internship 2027 listing is a single internship seat inside Quest Global’s Agentic Edge AI Studio at its Trivandrum centre. The portal title simply reads “Intern”, but the work described is squarely AI engineering: getting trained models to run efficiently on small, power-limited devices.

Quest Global is an engineering services firm working for aerospace, automotive, energy, MedTech, rail and semiconductor clients. Interns here sit with delivery engineers, so the Quest Global Trivandrum internship is a good fit for students who want hands-on edge AI exposure rather than classroom-style training.

What you will do in the Quest Global Internship 2027 role

• Study the toolchains used to deploy AI models on edge hardware
• Build automated pipelines that push models to edge devices
• Check model compatibility, validate outputs and report performance
• Help design AI-agent logic that diagnoses problems and triggers fixes automatically
• Shrink and speed up models through pruning, quantization and compilation
• Test models on simulators and on real target boards
• Measure accuracy, latency and memory use, and log the numbers
• Write documentation, reports and proof-of-concept demos

Quest Global Internship 2027 eligibility

For the Quest Global Internship 2027, Quest Global has not published a degree, branch, CGPA or graduation year. Based on the skills listed, students from CS, IT, ECE, EEE, AI/ML and data science backgrounds are the most likely fit, but treat that as our reading, not an official rule.

• Required: machine learning and deep learning basics, Python, at least one of TensorFlow, PyTorch or ONNX, software development and debugging, comfort with Linux, solid problem solving
• Preferred: edge AI deployment, quantization or pruning, embedded systems or microcontrollers, AI agents or agentic workflows, MLOps, Git
• Not stated: batch, CGPA cut-off, backlog rule, duration, stipend

Quest Global Internship 2027 selection process

The selection process for the Quest Global Internship 2027 is not published. Plan for the rounds Quest Global commonly uses for engineering interns:

1. Resume shortlist based on ML, Python and project fit
2. Online or technical screening covering Python, ML basics and debugging
3. Technical interview on your projects, model optimisation and Linux
4. HR discussion on availability, duration and stipend

Documents required

• Updated one-page resume (build one free with our Resume Builder)
• Latest marksheets or semester transcript
• College ID or bonafide certificate
• Government photo ID
• GitHub or project links showing ML or edge AI work

Preparation tips for the Quest Global Internship 2027

• Revise ML fundamentals: overfitting, loss functions, CNN basics and evaluation metrics
• Export a small PyTorch model to ONNX and run it with ONNX Runtime
• Try post-training quantization on a model and compare accuracy and latency
• Practise Linux commands, shell scripting and Git workflows
• Prepare a two-minute pitch about your best project — see our self introduction for interview guide
• Use our free career tools to polish your profile

Expected stipend

The Quest Global Internship 2027 stipend has not been disclosed by the company. Aggregator listings report roughly ₹10,000–25,000 per month for Quest Global interns, but those figures come from a small number of entries and may not match this AI role. Ask HR for the exact stipend in writing before you join.

How to apply for Quest Global Internship 2027

1. Open the official Quest Global careers page for P-124113
2. Click Apply Now and sign in or create a candidate profile
3. Upload your resume and fill in education and project details
4. Mention edge AI, model optimisation or embedded work in your summary
5. Submit and keep the Job ID P-124113 for follow-ups

About Quest Global

Quest Global is an engineering services company founded in 1997 with delivery centres across many countries, including several in India. It designs and tests products for aerospace and defence, automotive, energy, hi-tech, healthcare, rail and semiconductor customers. Its Trivandrum campus is one of its larger Indian engineering hubs.

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