Head – Machine Learning, Hiring Domain start-up (8-14 yrs)

Kunal Jain Last Updated : 20 Mar, 2014
< 1 min read

If you get excited by working on cutting edge analytics, have passion to build analytics infrastructure from scratch and are not worried by working in a start-up environment, this is the opportunity for you.
Designation – VP, Engineering

Location – Mumbai

About employer – Its a funded startup ,looking to disrupt the recruitment industry in India. Confidential.

Responsibility – Build and deliver a recommendation engine for delivering personalization for clients of this funded start-up. Aim is to send only qualified relevant CVs to clients.

Recommended Work Experience – 8 – 14 years. PhD or MS Computer Science, in Algorithms, Data Analytics, Machine Learning or related fields

Skills required:

  • Candidate has spent the last few years working with data infrastructure, machine learning, and back-end architecture, preferably applied in Hiring domain
  • Strong Product Architecture & Development experience.
  • Theoretical knowledge of Mathematical Modeling/Discrete Mathematics.
  • Expertise on Information Extraction and Big Data frameworks like Hadoop.

You can find more details about the job and apply here: http://goo.gl/YXNpce

Kunal Jain is the Founder and CEO of Analytics Vidhya, one of the world's leading communities of Al professionals. With over 17 years of experience in the field, Kunal has been instrumental in shaping the global Al landscape. His expertise spans diverse markets, from developed economies like the UK to emerging ones like India, where he has successfully led and delivered complex data-driven solutions. As a recognized thought leader, Kunal has empowered countless individuals to realize their Al ambitions through his visionary approach to Al education and community building. Before founding Analytics Vidhya, Kunal earned both his undergraduate and postgraduate degrees from IIT Bombay and held key roles at Capital One and Aviva Life Insurance across multiple geographies. His passion lies at the intersection of analytics, Al, and fostering a thriving community of data science professionals.

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