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Full Stack AI & ML Engineer

Inzint Pvt. Ltd
  • Noida
Salary: NA

Description

About Inzint Inzint Pvt. Ltd. is a fast-growing technology company focused on delivering AI-driven, full-stack software solutions. We are passionate about innovation and believe in empowering young talent to grow with us. Our work environment is fast-paced, collaborative, and geared towards continuous learning. About the Role We are looking for enthusiastic and self-driven Full Stack AI & ML Engineer – Trainees from the graduating batch of 2026. This opportunity is ideal for students who are passionate about Artificial Intelligence, Machine Learning, and Full Stack Development, and are eager to work on cutting-edge real-world applications. Selected candidates will undergo 6 months of intensive training in Data Science, AI/ML, DevOps, Cloud (AWS), and Full Stack Development, followed by placement into active project teams based on performance. Note: This is a full-time, in-office role. Remote or work-from-home options will not be available during the training period. Key Responsibilities Software Development: Design, develop, test, and maintain scalable software solutions in line with best coding practices. Client Interactions: Collaborate with clients to understand requirements and provide technical input. Project Reporting: Document development progress, prepare status reports, and communicate with internal stakeholders. Team Collaboration: Work closely with cross-functional teams including design, QA, DevOps, and project management. Eligibility Criteria Education: Final-year students graduating in 2026 with a Bachelor’s or Master’s degree in: Computer Science Information Technology Data Science Or related fields (Full-time, regular programs only) Academic Performance: Minimum 60% marks throughout 10th, 12th, and all semesters. No Active Backlogs at the time of joining (January 1, 2026). Mathematics Requirement: Mathematics must have been studied in 10th, 12th, and at least two semesters during graduation. Project Experience: Must have completed academic or personal projects in one or more of the following: Full Stack Web Application Mobile App Development AI/ML Projects Required Technical Skills Programming Languages: Python, JavaScript Frontend: ReactJS Backend: REST API development using Flask, Django, FastAPI, or Node.js Databases: SQL and NoSQL ML Concepts: Supervised & Unsupervised Learning, Model Evaluation, Algorithms, Mathematics for ML AI/ML Libraries: scikit-learn, pandas, numpy, TensorFlow Version Control: GitHub Deployment Platforms: Vercel, Render, Railway Preferred (Good-to-Have) Skills Advanced ML Techniques (Feature Engineering, Bias-Variance, etc.) Cloud: AWS (EC2, Lambda, Amplify) Big Data: Apache Spark, Hadoop, AWS S3 Data Engineering: ETL pipelines, Vector Databases Compensation & Benefits Training Period Stipend: ₹12,000 per month (first 6 months) Post-Training CTC: ₹3 LPA ₹2.4 LPA Fixed ₹0.6 LPA Variable Service Bond To safeguard the company’s investment in your training and development, selected candidates will be required to sign an 18-month service bond, along with submission of an undated cheque of ₹1.5 lakh as security, which will be returned upon successful completion of the bond period. Bond Waiver Criteria Exemptions may be considered under the following conditions: Unsatisfactory Performance during training Long-Term Disability affecting ability to work Admission to a Top-200 Global University (as per QS Rankings) Employment with a Fortune 500 Company or Unicorn Startup Full-time Government Employment under direct payroll Why Join Inzint? Hands-on experience with real-world AI/ML and full stack projects Personalized mentorship and training Opportunity to work with experienced engineers and industry professionals Exposure to the latest tech stacks and deployment platforms Clear path to full-time employment and career growth

Role and Responsibilities

  • Software Development: Design, develop, test, and maintain scalable software solutions in line with best coding practices. Client Interactions: Collaborate with clients to understand requirements and provide technical input. Project Reporting: Document development progress, prepare status reports, and communicate with internal stakeholders. Team Collaboration: Work closely with cross-functional teams including design, QA, DevOps, and project management.