India ML Hiring Hackathon 2019
About the Event
Why should you participate?
India Machine Learning Hiring Hackathon- 2019 is the ultimate opportunity for all analytics professionals to interview with top companies across India who are looking to hire the best talent for data science & machine learning roles. There are 100+ job openings with 20+ companies across various cities in India (including Bangalore, Pune, Delhi-NCR, Mumbai, Chennai, Hyderabad)
Who should participate?
Open for all data science professionals statisticians, data scientists, business analysts.
Prizes
100+ job openings with 20+ companies across various cities in India !
Position Name |
Location |
Experience Required |
Skill set Required |
No of openings |
Data Scientist |
Bangalore |
2 - 4 Years |
Predictive Modeling, Machine Learning, Python, R |
20 |
Data Scientist |
Chennai |
4 - 7 Years |
R/Python, and strong SQL skills, price optimization, propensity modelling. |
9 |
Data Scientist |
Bangalore |
4-7 Years |
R/Python, and strong SQL skills, price optimization, propensity modelling. |
15 |
Digital Marketing Data Scientist |
Bangalore |
4 - 7 Years |
Adobe Analytics, Tableau and/or Power BI, R, SAS, SPSS, Python, ARIMA |
3 |
Machine Learning Engineer |
Pune |
6 - 8 and 2 - 4 Years |
Proven experience as a Machine Learning Engineer or similar role. Understanding of data structures, data modeling and software architecture. Deep knowledge of math, probability, statistics and algorithms. Ability to write robust code in Python, Java and R. Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn) |
18 |
Senior Business Dashboard Developer |
Gurgaon |
5 + Years |
Tableau - Mode - Sisense - Power BI |
6 |
Senior Data Scientist |
Gurgaon |
5 + Years |
Predictive modeling, Machine Learning, Python, NLP, and Logistic Industry |
9 |
Junior Business Dashboard Developer |
Gurgaon |
2 - 3 Years |
Tableau - Mode - Sisense - Power BI |
9 |
Lead Data Scientist |
Bangalore |
6 - 10 Years |
Clustering, Regression/Classification, Time Series |
3 |
Rules of Participation
- The contest starts on Thursday, 15th August 2019, 00:00:00 (IST).The data set and the problem statement will be released at the same time.
- Entries submitted after the contest is closed, will not be considered.
- Only Individual participation is allowed in the hackathon
- Use of external dataset is not allowed.
- Participation is free-of-charge.
- Throughout the hackathon, you are expected to respect fellow hackers and act with high integrity.
- Slack Live Chat admins hold the right to block any participant found to use foul/disrespectful language.
- Analytics Vidhya holds the right to disqualify any participant at any stage of the competition if the participant(s) are deemed to be acting fraudulently.
- In case of any dispute over rankings and leaderboard, decision of Analytics Vidhya shall be final.
- Interview shortlisting will be done by specific companies basis their own criteria (apart from leaderboard ranking)
Participate in Discussion
Registration Details
Total registered
Number of teams
Know where you stand
Spaces You Can Join
Frequently Asked Questions
Find the answers for the most frequently asked questions
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.
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.
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.
Depending on the type of competition, you can participate individually or in a team.
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.
You can access the problem statement under the "Problem Statement" tab once the Hackathon is live.
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