Full Stack AI & ML Engineer

Best Course News; Dadri; On-site; INR 133,920 - 3,348,000; Full time

Job summary

A technology-focused organization is looking for Full Stack AI & ML Engineer trainees in Noida, Uttar Pradesh. This role, with a structured training period starting January 5, 2026, offers exposure to AI applications, full-stack development, and cloud technologies. Candidates from the graduating batch of 2026 with a Bachelor's or Master's degree in relevant fields and strong academic records are encouraged to apply. Compensation includes a training stipend of ₹12,000 and a post-training CTC of ₹3 LPA.

Qualifications

• Graduating batch 2026 required.
• Minimum 60% marks throughout academics.
• No active backlogs on the date of joining.

Responsibilities

• Develop, test, and maintain high-quality software solutions.
• Work on AI/ML models and full-stack applications.
• Participate in client meetings to understand requirements.

Skills

Machine Learning

Supervised & Unsupervised Learning

Python

JavaScript

ReactJS

Education

Bachelor's or Master’s degree in Computer Science or related fields

Tools

scikit-learn

pandas

GitHub

Job description

#### Full Stack AI & ML Engineer##### Inzint Pvt. Ltd.* Noida#### Description\*Job Description\*\*Full Stack AI & ML Engineer – Trainee\*\*Company Name\* : Inzint Pvt. Ltd.\*Location\* : B111, B Block, Sector 65, Noida, Uttar Pradesh\*Job Type\* : Full-Time | Trainee Program\*Work Mode\* : Work from Office (No WFH/Remote during training)\*Commencement Date\* : January 05, 2026\*About Inzint\*Inzint Pvt. Ltd. is a technology-driven organization focused on building innovative AI-powered and full-stack solutions. We work on real-world problems using cutting-edge technologies across Artificial Intelligence, Machine Learning, Data Science, Cloud, and Full Stack Development.\*About the Role\*We are looking for enthusiastic, motivated, and self-driven Full Stack AI & ML Engineer – Trainees from the Graduating Batch of 2026. This role offers hands-on exposure to real-world AI applications, full-stack development, and cloud technologies.The initial six months will be a Training Period, during which selected candidates will receive structured training in:\* Data Science\* Artificial Intelligence & Machine Learning\* Full Stack Development\* DevOps & AWSSuccessful trainees will transition into a full-time role after completion of training.\*Primary Responsibilities\*\* Develop, test, and maintain high-quality software solutions following coding standards\* Work on AI/ML models and full-stack applications\* Participate in client meetings to understand requirements and provide technical insights\* Prepare regular progress reports and technical documentation\* Collaborate with cross-functional teams including designers, QA, and project managers\* Ensure timely delivery and smooth execution of projects\*Eligibility Criteria\*\* Graduating batch 2026\* Bachelor’s or Master’s degree (full-time, regular) in:\* Computer Science\* Information Technology\* Data Science\* Or related fields\* Minimum 60% marks throughout academics\* No active backlogs on the date of joining\* Must have studied Mathematics in:\* 10th\* 12th\* Graduation (at least two semesters)\* Must have completed projects in:\* Full Stack Web Application or\* Mobile Application or\* AI/ML Project\*Required Skills\*\*Machine Learning\*\* Supervised & Unsupervised Learning\* Model Selection & Evaluation\* Core Mathematical Foundations\* Common ML Algorithms\*Programming Languages\*\* Python\* JavaScript\*Frontend\*\* ReactJS\*Backend\*\* REST API development using Flask, Django, FastAPI, or Node.js\*Databases\*\* SQL & NoSQL\*AI/ML Libraries\*\* scikit-learn, pandas, numpy, TensorFlow\*Version Control\*\* GitHub\*Deployment Platforms\* :\* Vercel, Render, Railway\*Good-to-Have Skills\*\* Advanced ML concepts: Feature Engineering, Bias-Variance Tradeoff, Overfitting & Generalization\* Cloud Services: AWS (EC2, Lambda, Amplify)\* Big Data Technologies: Apache Spark, Hadoop, AWS S3\* Data Engineering: ETL processes, data pipelines, vector databases\*Compensation\*\* During Training: ₹12,000 per month (stipend)\*Post Training\*\* CTC: ₹3 LPA\* Fixed: ₹2.4 LPA\* Variable: ₹0.6 LPA\*Service Bond\*\* Duration: 18 months\* Security : Undated signed cheque of ₹1.5 lakh (refundable after bond completion)\*Bond Exemptions (If Applicable)\*\* Unsatisfactory performance during training\* Long-term disability affecting work capability\* Significant change in job role within the company\* Admission to a Top 200 QS-ranked global university\*Employment with\*\* Fortune 500 company\* Unicorn startup\* Permanent government employment (Central/State, direct payroll)#### Role and Responsibilities* \* Develop, test, and maintain high-quality software solutions following coding standards \* Work on AI/ML models and full-stack applications \* Participate in client meetings to understand requirements and provide technical insights \* Prepare regular progress reports and technical documentation \* Collaborate with cross-functional teams including designers, QA, and project managers \* Ensure timely delivery and smooth execution of projects| Designation | : | Full Stack AI & ML Engineer || Work experience | : | 0-1 |### Skills: