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Innoplexus Online Hiring Hackathon

About the Event

Innoplexus Online Hiring Hackathon: Take the Artificial Intelligence (AI) Challenge

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

The best participants showcasing their skills will be shortlisted for interviews with Innoplexus and additionally the winners will receive exciting prizes.

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 at www.innoplexus.com

Registration: Free

Prizes:

  1. An AI powered smartphone - Google Pixel 2
  2. Interview opportunities with Innoplexus
  3. Other smart AI powered prizes

We are hiring for:

Innoplexus is a place where people with varied industry and functional backgrounds and experience join to do their best. To strengthen our team in Pune, we are looking for Data Scientists at various levels.

You are the right person in our team if you are:

  • Enthusiastic about developing scalable, intuitive product
  • An out-of-the-box thinker
  • Strong problem solver
  • Extremely good in data structures
  • A PhD, Master or Bachelor in Computer Science or Engineering

Role and responsibilities:

  • 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 have:

  • 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.

You will earn brownie points if you have experience in:

  • Working with life sciences or healthcare datasets.
  • Solving real world ML problems.
  • Either of the major NoSQL products.

We believe in the power of collaboration. You will work alongside industry’s best 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.

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Registration Details

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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!

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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!

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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!

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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.

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