How To Engage Machine Learning Developers

Machine Learning developers have unique needs from the ecosystem. They face challenges that developers from another stream are largely insulated from. Firstly, ML is fast changing domain. The rate of innovation currently is extremely high for some of the top developers to keep pace with. A state-of-art innovation project that you are working on for months, just got redundant because someone open sourced a complete library for it.

Secondly, ML developers need handholding from not just the technology aspect but from a myriad of other fields like statistics, mathematics etc. This unique need makes them look out for content and engagement from a different lens.

This year’s edition of the Machine Learning Developers Summit or MLDS 2020 brought together India’s leading Machine Learning innovators and practitioners who shared ideas and experiences about artificial intelligence (AI) and machine learning (ML) technologies, and developments in the AI/ML space.

MLDS 2020, held in Bangalore and Hyderabad in January 2020, was well attended and received by the Developer community. A survey was launched to all participants to gauge the pulse of ML developers and the larger developer community – the survey covered questions that helped gain insights on the critical needs of the larger developer ecosystem, including the training formats the developer prefer, the platforms the developers favor to interact and collaborate on, and so on. The survey respondents covered students, research scholars, and novice to senior-experienced professionals. The average work-experience of the respondents of the survey was 7.4 years.

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