Loader gif

Innoplexus Online Hackathon: Machine Learning Challenge

About the Event

Participate in the Innoplexus Online Hackathon where you will have the opportunity to solve a real-world business problem that leading global organizations face & they are looking for data-driven solutions for faster, empowered and inspired decision making.

The best participants showcasing their ML skills will be short listed for interviews with Innoplexus and additionally the winner will receive an all-expenses paid trip to an international AI Summit June 18thin Frankfurt am Main in Germany on Campus of Frankfurt School of Finance & Management, subject to visa approval and ticket availability. More information about the AI Summit organized by Innoplexus and Frankfurt School:www.ai-summit.de

About Innoplexus

At INNOPLEXUS we are helping organisations move to continuous decision-making by generating insights from structured and unstructured private and public data leveraging cutting edge Artificial Intelligence and Deep Learning technologies. We aim to transform batch decision making in enterprises into a continuum. We continuously develop our products to enable broader, deeper and faster insights and best-found decision-making.

We focus on industries that need to constantly evaluate and improve their efficiency, reduce cost and mitigate risk to keep up with the changing business environment. That’s why we leverage Artificial Intelligence and advanced analytics to shape the future of global finance, life sciences and pharmaceutical organisations.

Our Data as a Service (DaaS) and Continuous Analytics as a Service (CaaS) solutions are helping Fortune 500 companies drive business outcomes. We automate the collection, curation, aggregation and analysis, of billions of data points from thousands of data sources, using machine learning, network analysis, ontologies, computer vision and entity normalization.

Founded in 2011, INNOPLEXUS AG is headquartered in Frankfurt, Germany with offices in Pune, India, and New Jersey, USA.

Learn more atwww.innoplexus.com

Prizes:

  1. An all-expenses paid trip to an international AI summit
  2. Interview opportunities with the firm

Skills Required:

At Innoplexus we enable customers in Europe and Americas to succeed in acompetitive market by delivering real time access to full picture of relevant data. We make accessing and consuming data seamless and offer continual insights via intuitive interfaces. We leverage Artificial Intelligence and advanced analytics to shape the future of global finance, life sciences and pharmaceutical organizations.

Innoplexus is a place where people with varied industry and functional backgrounds and experience join to do their best work. To strengthen our team in Pune, we are looking for an Senior Data Scientist.


You are the right person in our team if:

  • You are enthusiastic about developing scalable, intuitive product
  • You are an out of the box thinker
  • You have strong problem solver skills
  • You are extremely good in data structures
  • You own a PhD, Master or Bachelor Degree in Computer Science or Engineering

We need you to:

  • Develop solutions for real - world noisy data, large-scale problems.
  • Develop highly scalable deep learning algorithms to improve our products.
  • Develop state-of-the-art machine learning and neural network methodologies to improve our intelligence platform.

To excel in this job you must bring hands-on experience in

  • Hands-on experience in machine learning
  • Strong track record in AI / ML publications in renowned scientific journals or conferences.
  • Experience in any of the following: Computer Vision, Image Processing, Speech Recognition, Natural Language Understanding, Machine Learning, Deep Learning, HCI, Text Mining, Computational Genomics, Bioinformatics, other Machine Intelligence/Artificial Intelligence related areas.
  • Programming experience in one or more of the following: C, C++, Python

Nice to have would be if

  • Experience of working with life sciences or healthcare datasets
  • Experience of solving real world ML problems
  • Experience with either of the major NoSQL products

We believe in the power of collaboration. You will work alongside creative thinkers and can grow with your team and turn great ideas into reality. We support you to develop your skill with training courses, knowledge sharing and learn while you work.

Participate in Discussion

0/100
Loading...

0/1000

no comment

Registration Details

1893

Total registered

0

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!

logo

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!

logo

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!

logo

10.4K

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.

We use cookies essential for this site to function well. Please click to help us improve its usefulness with additional cookies. Learn about our use of cookies in our Privacy Policy & Cookies Policy.

Show details