Artificial Intelligence (AI) - 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