If you are an engineering graduate or an early career professional passionate about bridging the gap between intelligent artificial intelligence models and rock-solid full stack web development, this opening will definitely grab your attention. Global engineering giant Quest Global is currently looking for an enthusiastic AI-ML Full Stack Developer to join their innovative engineering team. Whether you are a fresher with strong personal projects and solid fundamentals or an engineer with 1 to 3 years of hands-on work, this position provides a solid platform to work on real-world engineering challenges.
Quick Job Overview
| Hiring Company | Quest Global |
| Job Role | AI-ML Full Stack Developer |
| Work Experience | 0 - 3 Years (Freshers & Junior Professionals) |
| Eligible Batches | 2023, 2024, 2025, 2026 Batch Graduates |
| Educational Qualification | B.E / B.Tech / M.E / M.Tech / MCA in CS, IT, AI, ML, or related disciplines |
| Job Location | Bangalore / Hyderabad / Pune / Hybrid (India) |
| Salary / Package | ₹5.5 LPA - ₹9.5 LPA (Expected based on skills & experience) |
| Application Status | Actively Accepting Applications |
About Quest Global
Quest Global is one of the world's leading engineering services and technology solutions providers. Founded with a vision to solve some of the toughest technical and mechanical challenges in the industry, the firm has spent over two decades partnering with fortune 500 corporations worldwide. Their multidisciplinary engineering presence touches high-stake sectors such as Aerospace & Defence, Automotive, Energy, Hi-Tech, MedTech & Healthcare, Rail, and Semiconductors.
What makes Quest Global special is their philosophy around building polymath engineers. They strongly believe that the modern world requires minds that connect diverse dots, taking inspiration from nature, architecture, art, and cutting-edge software to solve complex industrial issues. With delivery centers spread across the Americas, Europe, and Asia-Pacific, employees get exposure to multinational engineering cultures, industry mentors, and hands-on technological challenges that few ordinary service companies can offer.
Role Summary & Key Responsibilities
As an AI-ML Full Stack Developer, your job is not confined just to writing static web components or merely training machine learning models on a Jupyter notebook. You will bridge both worlds. You will be responsible for creating modern user interfaces, writing clean backend microservices, serving machine learning inference pipelines efficiently, and deploying end-to-end intelligent systems.
- End-to-End Application Development: Architect and develop clean front-end interfaces using modern libraries like React or Angular, while integrating them seamlessly with responsive backends.
- Model Integration & Deployment: Take trained Machine Learning and Deep Learning models from proof-of-concept stages and package them into fast, scalable production APIs via FastAPI, Flask, or Node.js.
- Data Pipeline Engineering: Build data ingestion, cleaning, and transformation pipelines to ensure real-time and batch datasets feed into your prediction engines seamlessly.
- Performance Optimization: Monitor system performance, reduce API latency, handle load spikes, and optimize deep learning inference models using containerization and model quantization.
- Database Management: Design normalized relational database schemas using PostgreSQL or MySQL, while leveraging document stores like MongoDB for unstructured JSON payloads and vector databases for AI embeddings.
- Collaborative Engineering: Work in cross-functional agile squads alongside domain experts, data scientists, UX designers, and cloud infrastructure engineers to turn enterprise problem statements into deployable code.
- Automated Testing & CI/CD: Write comprehensive unit, integration, and performance test suites to maintain high code reliability across all delivery pipelines.
Detailed Eligibility Criteria
- Academic Degree: Full-time B.E / B.Tech / M.E / M.Tech / MCA / M.Sc degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, Electronics, or related fields.
- Eligible Batches: 2023, 2024, 2025, and passing-out 2026 students are welcome to apply provided they can demonstrate practical implementation skills.
- Academic Record: Consistent academic track record (preferably 60% or 6.0 CGPA and above throughout 10th, 12th, and graduation) with no active backlogs at the time of joining.
- Experience Level: 0 to 3 years of software engineering experience. Freshers with strong portfolio repositories, open-source pull requests, or solid internship experience are encouraged to submit applications.
Required Technical & Soft Skills
Companies hiring for full stack AI roles evaluate candidates on practical implementation ability. Here is the skill set you should highlight on your resume:
- Programming Mastery: Strong command over Python is mandatory. Familiarity with modern JavaScript or TypeScript will give you an added edge for web framework engineering.
- AI & Machine Learning Concepts: Sound understanding of supervised and unsupervised learning, regression, classification, clustering, neural networks, and popular libraries such as Scikit-Learn, PyTorch, TensorFlow, and Hugging Face Transformers.
- Frontend Frameworks: Working experience in building intuitive, responsive web applications using React.js, Angular, or Vue.js along with modern CSS frameworks like Tailwind or Bootstrap.
- Backend Architecture: Proficiency in building asynchronous and synchronous RESTful APIs using Python frameworks like FastAPI, Flask, Django REST framework, or Express / Node.js.
- Database Know-How: Familiarity with relational databases (PostgreSQL, MySQL) and NoSQL stores (MongoDB, Redis). Basic understanding of Vector Databases (ChromaDB, Pinecone, FAISS) is a major bonus.
- Containerization & DevOps Basics: Hands-on knowledge of Docker for containerizing apps, Git for team version control, and basic exposure to cloud environments such as AWS, Azure, or Google Cloud Platform.
- Problem Solving & Communication: Good analytical thought process, clean coding ethics, curiosity to learn new tech stacks quickly, and fluent verbal/written communication skills.
Perks & Employee Benefits at Quest Global
Quest Global takes employee well-being seriously with a structured benefits package crafted to help engineers maintain a healthy work-life balance:
- Comprehensive Group Medical, Term Life, and Personal Accident Insurance coverage.
- Staff loan facilities and salary advance support during emergencies.
- Organized corporate transportation facilities and car lease assistance programs.
- Attractive employee referral bonuses and childcare reimbursement support.
- Access to global continuous learning platforms and industry certification sponsorships.
- Formal recognition of service milestones, team outings, and curated wellness programs.
Recruitment & Selection Process
While the exact timeline can vary depending on hiring team schedules, candidates typically go through four main rounds:
- Online Profile Screening: The talent acquisition team screens your resume, checking your educational background, listed skills, and portfolio projects.
- Online Technical Assessment: A computer-based test featuring MCQs on data structures, algorithmic coding, Python logic, and foundational machine learning concepts.
- Technical Interview (1 or 2 Rounds): An in-depth discussion covering your previous projects, hands-on live coding, system design basics, API integration, and how you deploy machine learning models in real-world scenarios.
- Managerial & HR Round: A final interaction to evaluate your culture fit, communication style, salary expectations, role clarity, and work location preferences.
Tips to Clear This Interview
- Showcase Live Demos: Keep at least two full stack AI/ML projects hosted live on Vercel, Render, or Hugging Face Spaces. Make sure your GitHub repository has a readable README explaining how the project works.
- Know Your Architecture: Be ready to explain how your frontend interacts with your machine learning API endpoints. Interviewers love asking how you manage latency when running complex predictions.
- Brush up Core Computer Science: Revise object-oriented programming (OOPs), basic database queries, and popular data structures (Arrays, Trees, Hash Maps).
How to Apply
Interested candidates should apply directly through the official Quest Global careers page. Follow these simple steps to submit your profile:
- Click on the Apply Online button provided below to navigate straight to the official job listing.
- Read through the job summary and click the official 'Apply Now' button on the Quest Global portal.
- Create an account or sign in with your existing credentials.
- Fill out your contact details, education history, and current employment/internship status.
- Upload your updated resume (PDF format is recommended, ensuring your active GitHub and LinkedIn profiles are clickable).
- Review your details carefully and submit the application form. Keep an eye on your email inbox (including spam folder) for further updates regarding assessment tests.
Note: Quest Global never charges any recruitment fee or security deposit at any stage of the hiring process. Always apply through official company links to stay safe from job scams.