Artificial Intelligence (AI) Internship in Noida at URE Legal Advocates

About the Internship

Job Title:Machine Learning, AI & Full Stack Development Intern
Company: Young Thames LLP (Tech & Innovation Division)
Location:C-84, Sector 2, Noida – 201301 (Near Gate 3 Sector 15 Metro)
Mode: In-office Internship (Hybrid/Remote for exceptional candidates)
Duration: 6 Months | 5 or 6 Days/Week | Immediate Joiners Preferred
 
About the Role:
Join URE HR’s Tech & Innovation team as a Machine Learning, AI & Full Stack Development Intern—work on cutting-edge projects at the intersection of artificial intelligence and software engineering. You’ll collaborate with senior developers and data scientists to build, deploy, and scale intelligent solutions with real-world business applications.
 
Key Responsibilities:
Machine Learning & AI:
Assist in building, training, and evaluating ML models (classification, regression, NLP, computer vision).
Work with Python and frameworks such as scikit-learn, TensorFlow, PyTorch, and OpenAI APIs.
Contribute to automation, feature engineering, data pre-processing, and model optimization.
Full Stack Development:
Develop responsive web applications using modern front-end frameworks (React.js, Next.js, TypeScript, Redux, SCSS/CSS Modules).
Design, build, and maintain back-end services with Node.js, Express.js, Go (Golang), and RESTful/GraphQL APIs.
Integrate AI/ML models into production-ready web platforms.
Database & Cloud Integration:
Work with relational and NoSQL databases (PostgreSQL, MongoDB, Redis).
Deploy, monitor, and scale applications on AWS (EC2, S3, RDS, Lambda), Google Cloud, and manage infrastructure with Docker, Kubernetes, and Terraform.
DevOps, Monitoring & Automation:
Automate CI/CD pipelines using Jenkins and GitHub Actions.
Implement monitoring and analytics with Datadog, New Relic, and Sentry.
Collaboration & Documentation:
Work in agile teams using Jira, Trello, Notion, Slack, and Git (GitHub/GitLab) for version control.
Document technical solutions, ML experiments, and architectural decisions.
 
Key Tools & Technologies:
Area
Tools/Technologies
ML/AI
Python, scikit-learn, TensorFlow, PyTorch, OpenAI, NLTK, OpenCV
Frontend
React.js, Next.js, TypeScript, Redux, SCSS/CSS Modules
Backend
Node.js, Express.js, Go (Golang), Ruby on Rails (legacy), RESTful/GraphQL APIs
Database
PostgreSQL, MongoDB, Redis
Cloud/DevOps
AWS, Google Cloud, Docker, Kubernetes, Terraform, Jenkins, GitHub Actions
Monitoring
Sentry, Datadog, New Relic
Analytics
Segment, Mixpanel, Google Analytics
Version Control
Git, GitHub, GitLab
Collaboration
Slack, Jira, Trello, Notion
 
Who Can Apply:
BTech, MTech, MCA students/fresh graduates in CS, IT, Data Science, or related fields
Solid programming background (Python, JavaScript/TypeScript)
Experience with at least one ML/AI framework and basic web development
Familiarity with cloud services, DevOps tools, and database management
Strong problem-solving, analytical, and teamwork skills
Passionate about AI, automation, and building innovative digital products
 
Perks & Learning:
Hands-on exposure to real-world AI/ML and full stack projects
Direct mentorship from senior developers and data scientists
Access to the latest enterprise-grade tech stack and cloud platforms
Certificate, Letter of Recommendation, PPO for top performers
 
How to Apply:
Send your CV and a short cover letter (mentioning your ML/AI or full stack project experience) to Cv@youngthames.com and WhatsApp 9999644807
Subject: Application for Machine Learning, AI & Full Stack Development Intern
 

Number of Openings

4 openings

Perks of this Internship

Certificate Recommendation letter Informal dress code Free snacks

Other Requirements

1. are available for full time (in-office) internship

2. have relevant skills and interests

3. can start the internship between 16th Dec'25 and 20th Jan'26

4. are available for duration of 6 months

5. have already graduated or are currently in any year of study