Company Overview Akridata is a US based early stage startup working in the area of providing data processing and data management solutions for certain edge to data center pipelines related to AI workloads catering to use cases generating data in the order of 100TB per day. We are a VC funded startup incorporated in May 2018 with all SW engineering done from the Bangalore center thus providing ample opportunities for ‘from-scratch’ design and development. Role We are in the process of setting up a “data science and algorithms” team and this role is for a lead engineer who will form the team and lead all development activities for this team. This team will develop high performance algorithms around the areas of data summarization and importance scoring on data. If you are excited with the idea of developing a data-science toolkit Vs using an existing toolkit, then this role would be an ideal match. What we are looking for Master’s degree with a background in statistics and computer science. Good foundation on theory around advanced linear algebra. Hands-on programming experience with Python in area of data science 4+ years of experience working with data science activities involving building models for analysing large amounts of data. Experience with publishing academic papers and/or implementing prototypes based on ongoing research ideas. Good to have Experience with developing high performance algorithms considering various system aspects like memory consumption, CPU utilization, synchronization overheads, communication overheads etc. Understanding of GPU architecture and experience implementing algorithms on GPUs. Experience leading a team of 2-3 data science engineers.
Akridata is an early stage startup in the area of processing large volumes of data around AI domain. We have engineering centre in Bangalore that fully owns all the SW engineering activities for the company thus providing great opportunities to build products from scratch. We are currently looking for passionate and enthusiastic entry level developers for QA automation team. Since, the QA automation team is just being set-up there is ample opportunity for from-scratch development. The ideal candidate needs to have strong CS fundamentals and good hands-on coding ability in any of the popular languages(python, Java, C++).