AV - Hiring Hackathon
About the Event
About the Hiring Hackathon
Join the Analytics Vidhya Hiring Hackathon - your gateway to high-impact roles in Artificial Intelligence, Machine Learning, and Data Science. This is your chance to solve real-world problems, showcase your technical excellence, and land an opportunity with one of the most dynamic and fast-growing teams in the industry.
Whether you're an expert in Data Science, Machine Learning, or Data Engineering, this hackathon is designed to identify top talent ready to drive innovation and shape the future of AI.
Top performers will be shortlisted for interview opportunities with Analytics Vidhya.
About Analytics Vidhya
Analytics Vidhya is India’s largest and one of the world’s leading communities for data science and AI professionals. With over 1.5 million monthly visits and a vibrant community of 100,000+ active users, we aim to empower learners, professionals, and enthusiasts through high-quality content, industry-relevant training, and cutting-edge hackathons.
Our platform brings together the brightest minds in data science through articles, forums, webinars, online courses, and hands-on competitions, helping professionals sharpen their skills and stay ahead of the curve.
Roles We’re Hiring For
This hiring hackathon is focused on identifying talent for roles such as:
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Generative AI Scientist / Machine Learning Engineer
- Data Scientist
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Gen AI Intern
- Data Engineer
If you’re passionate about building with AI, solving complex problems using data, and deploying impactful solutions at scale, we’re looking for you!
What We’re Looking For
We're seeking individuals who:
- Are skilled in tools like Python, Hugging Face, LangChain, PyTorch, TensorFlow, etc.
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Have hands-on experience with Advanced ML techniques, GenAI, or LLMs.
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Can build, fine-tune, or evaluate AI/ML models with strong business context
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Have a strong understanding of data pipelines, experimentation, and model evaluation
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Demonstrate curiosity, creativity, and an eagerness to learn
What You Can Expect
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A chance to interview with top AI/ML teams
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Challenges inspired by real-world business problems
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An opportunity to apply your skills and build portfolio-worthy projects
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Support from Analytics Vidhya’s community and mentors
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A fast-track path to impactful AI roles
Who Should Participate?
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Students, professionals, and data enthusiasts.
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Data scientists and analysts, eager to solve real-world challenges.
Rules of Participation
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The hackathon starts on Saturday, 14th June 2025, 00:00:00 (IST). The dataset and problem statement will be released at that time.
- The hackathon will end on Sunday, 22nd June 2025, 23:59:59 (IST)
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Submissions after the deadline will not be accepted.
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You can participate individually only.
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Use of external datasets or future data is not allowed.
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Participation is free of charge.
Final Submission Requirements
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Final submission is mandatory to be considered for shortlisting.
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A code file must be submitted in .py or .ipynb format.
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Your code file must match your final submitted solution.
Code of Conduct
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Respect fellow participants and uphold high standards of integrity.
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Any use of foul language, plagiarism, or fraudulent activity will result in disqualification.
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Analytics Vidhya reserves the right to disqualify any participant at any stage if misconduct is suspected.
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Registration Details
00 :00 :00 :00
Till event ends
Registered till now
Number of teams
Know where you stand
Spaces You Can Join
Data Science
Over here, you can engage in discussions, ask questions, share insights, and converse about all things Data Science, from regression models to LLMs!
10.4K
Generative AI
Over here, you can engage in discussions, ask questions, share insights, and converse about all things Data Science, from regression models to LLMs!
10.4K
Data Engineering
Over here, you can engage in discussions, ask questions, share insights, and converse about all things Data Science, from regression models to LLMs!
10.4K
Frequently Asked Questions
Find the answers for the most frequently asked questions
There are no specific requirements to register for the hackathon, although it is recommended to have some basic knowledge of the relevant topics, such as Data Science, Machine Learning, or Deep Learning, along with proficiency in a coding language, preferably Python.
Depending on the type of competition, you can participate individually or in a team.
You can access the problem statement under the "Problem Statement" tab once the Hackathon is live.
Participants benefit from one-on-one feedback, publication on a respected platform, recognition from a global audience, and monetary rewards for each published article. Additionally, the top articles receive special rewards.
Each article must be original, and pass plagiarism and not AI generated content checks. You can submit multiple articles as long as each is distinct. Proper citation of all references and image sources is mandatory.
In the Blogathon, an article typically explores a specific topic or idea within Data Science or Generative AI and is required to be at least 1000 words long. A guide, on the other hand, is a more comprehensive resource, covering all aspects of a particular subject in data science, and must be at least 2500 words long. Guides aim to serve as a one-stop resource, providing detailed insights and practical applications, whereas articles might focus on narrower or more specific topics.
Multiple submissions of the same article are prohibited and could lead to disqualification. Articles failing to meet the required length, originality, or citation standards will be rejected.
AVCC is a community for authors who have had three or more articles published in the Blogathons. Members benefit from monetary rewards for each published article and get the opportunity to showcase their work to a larger audience.
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