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Quest Global Internship 2026 – Quest Global is hiring Interns. Candidates must possess B.E/B.Tech qualifications. Candidates looking for an Internship opportunity in Thiruvananthapuram can utilise this offer. Interested and eligible candidates can apply online as soon as possible. The detailed eligibility criteria and application process are given below. Interested candidates can also try –> IBM Internship.
Quest Global Internship 2026 – Details:
| Job Role | Intern |
| Job Type | Internship |
| Qualification | B.E/B.Tech |
| Experience | Freshers/Experienced |
| Stipend | Best in Industry |
| Job Location | Thiruvananthapuram |
| Last Date | ASAP |
Detailed Eligibility:
Intern:
- Qualification must be B.E/B.Tech
Required Skills
- Basic understanding of Machine Learning and Deep Learning concepts.
- Programming experience in Python.
- Familiarity with AI frameworks such as TensorFlow, PyTorch, or ONNX.
- Understanding of software development practices and debugging techniques.
- Knowledge of Linux development environments.
- Good analytical and problem-solving skills.
Preferred Skills
- Exposure to Edge AI deployment workflows.
- Knowledge of model optimisation techniques such as quantization and pruning.
- Familiarity with embedded systems, MCUs, or edge computing platforms.
- Understanding of AI agents, agentic workflows, or MLOps concepts.
- Experience with Git and collaborative software development.
Learning Outcomes
During this internship, the candidate will gain practical experience in:
- Edge AI deployment automation.
- AI model optimisation techniques.
- Agentic AI system development.
- MLOps and deployment workflows.
- Embedded AI validation and benchmarking.
- Technical documentation and PoC development.
Deliverables
By the end of the internship, the intern is expected to contribute to:
- A working automated AI deployment workflow.
- Model compatibility and validation framework.
- Agent-assisted failure diagnosis and recovery mechanism.
- Hardware/simulator benchmarking results.
- Final demonstration, documentation, and user guide.
Key Responsibilities
- Study and understand existing AI deployment toolchains and workflows.
- Develop and integrate automated deployment pipelines for edge AI applications.
- Build workflows to perform model compatibility analysis, validation, and performance reporting.
- Assist in implementing AI agent-based mechanisms for automated diagnosis and corrective actions during deployment.
- Support model optimization activities such as pruning, quantization, and compilation.
- Validate deployed models using simulators and target hardware platforms.
- Measure and analyse deployment metrics including accuracy, latency, memory utilisation, and deployment effort.
- Document findings, create technical reports, and present PoC demonstrations.
Overview: We are looking for a motivated AI Engineering Intern to contribute to the development of an Agentic Edge AI Studio, a multi-agent framework designed to automate AI model deployment for edge devices. The internship offers hands-on exposure to AI/ML deployment, edge AI optimization, MLOps automation, and agent-based systems.
How to Apply for Quest Global Internship 2026?
Interested and eligible candidates can apply for this job online as soon as possible by following the link below.
For More Details & To Apply: Click here.
