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Tata Steel AI Hackathon 2026 Win ₹1 Lakh

Tata Steel has officially announced the Tata Steel AI Hackathon 2026, a large-scale talent discovery and innovation challenge focused on Artificial Intelligence and Machine Learning. This exciting event gives students, freelancers, and working professionals the chance to solve real-world industrial AI problems while competing for full-time opportunities, mentorship, and attractive rewards.

The hackathon is designed to identify high-potential AI and ML talent capable of building practical and impactful solutions for industrial transformation. Participants will work on industry-inspired problem statements and move through multiple technical evaluation rounds focused on machine learning, agentic AI systems, and business problem-solving.

If you are passionate about AI, machine learning, data science, automation, or intelligent systems, this is one of the best opportunities in 2026 to showcase your talent on a national platform.

Tata Steel AI Hackathon 2026 Win ₹1 Lakh

About Tata Steel

Tata Steel is one of the world’s leading integrated steel manufacturing companies with operations across India, the UK, the Netherlands, and Thailand. The company is widely recognized for innovation, sustainability, and digital transformation initiatives.

Tata Steel has been actively adopting Artificial Intelligence, Industry 4.0 technologies, automation systems, and advanced analytics to transform manufacturing and operational efficiency. Through this AI Hackathon, the company aims to engage talented individuals who can contribute to the future of intelligent industrial systems.

Tata Steel AI Hackathon 2026 Overview

DetailsInformation
Program NameTata Steel AI Hackathon 2026
Conducted ByTata Steel
Eligible Candidates2026 Students, Professionals, Freelancers
ModeOnline
Registration FeeFree
Registration Deadline31 May 2026
Round 1 Duration22 May – 31 May 2026
Final Interviews22 June – 26 June 2026
Job OpportunitiesUp to 20 Full-Time Offers
Bonus Reward₹1 Lakh Joining Bonus for Top 3 Winners

Why You Should Participate

The Tata Steel AI Hackathon is not just another coding competition. It is a career-focused initiative designed to evaluate practical AI skills and connect participants with industry leaders.

Participants will get:

  • Exposure to real industrial AI use cases
  • Opportunity to work on Machine Learning and Agentic AI problems
  • Mentorship from Tata Steel experts
  • Networking with AI professionals and leaders
  • Potential Pre-Placement Interview (PPI) opportunities
  • Full-time career opportunities at Tata Steel
  • Recognition on the HackerEarth platform
  • Chance to win a ₹1 lakh joining bonus

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Hackathon Rounds and Selection Process

Round 1 – Machine Learning Challenge

This stage focuses on building machine learning models using datasets provided by Tata Steel. Participants can make multiple submissions and improve leaderboard rankings throughout the challenge period.

Evaluation Criteria:

  • Model accuracy
  • Optimization approach
  • Problem-solving ability
  • Technical implementation

AI Leadership Connect

Selected participants will get an opportunity to interact with Tata Steel’s AI and industry leaders. This session will provide valuable insights into real-world AI implementation in industrial environments.

Round 2 – Agentic AI Challenge

This is an advanced challenge where participants will build intelligent systems capable of autonomous decision-making and problem-solving.

This round emphasizes:

  • Agentic workflows
  • AI reasoning systems
  • Real-world applicability
  • Innovation and scalability

Final Interview Round

Shortlisted participants will undergo technical and business interviews where they will be evaluated on:

  • AI/ML fundamentals
  • Problem-solving
  • Industry understanding
  • Communication skills
  • Business impact of solutions

Eligibility Criteria

Candidates from the following categories can apply:

  • Final-year students graduating in 2026
  • Working professionals
  • Freelancers interested in AI/ML

Strong fundamentals in:

  • Machine Learning
  • Artificial Intelligence
  • Data Science
  • Deep Learning
  • Problem Solving

will be highly beneficial during the selection process.

Important Dates

EventDate
Registration Deadline31 May 2026
ML Challenge22 May – 31 May 2026
Leadership Connect4 June 2026
Agentic AI Challenge5 June – 15 June 2026
Final Interviews22 June – 26 June 2026

Rewards and Opportunities

One of the biggest highlights of this hackathon is the direct career opportunity attached to the competition.

Selected candidates may receive:

  • Full-time offers from Tata Steel
  • Pre-Placement Interviews (PPI)
  • Mentorship from industry leaders
  • Recognition across AI communities
  • ₹1 lakh joining bonus for top 3 winners

Up to 20 candidates may receive full-time opportunities based on overall performance.

Skills That Can Help You Perform Better

Participants with knowledge in the following areas may have an advantage:

  • Python Programming
  • Machine Learning
  • Deep Learning
  • NLP
  • Computer Vision
  • Agentic AI Systems
  • Prompt Engineering
  • Data Analytics
  • Model Optimization
  • AI Workflow Design

Having project experience or participation in previous AI competitions can also strengthen your performance.

How to Apply

Interested candidates can register for the Tata Steel AI Hackathon 2026 through the official hackathon platform before the deadline.

Before applying:

  • Prepare your resume and project portfolio
  • Brush up on ML and AI concepts
  • Practice model-building challenges
  • Review real-world AI case studies
  • Improve problem-solving and analytical skills

Candidates who perform consistently across all rounds will have better chances of receiving interview opportunities and full-time offers.

Disclaimer:
This information is collected from official/public sources for informational purposes only. We do not charge any fee for job or hackathon updates and do not guarantee selection or recruitment. Candidates are advised to verify details from the official source before applying.

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