We are looking for a tech entrepreneur who has experience building & setting up of startups into technology space (IoT & Machine learning).
He would act as a Director for our R&D Division in India, Bengaluru. Where he will be part of an early start-up team, which is working on cutting edge technology such as large-scale cloud system, connected device and machine learning.
Responsibilities :
- Head the R&D Division and Deliver anything/everything to build great products in Industrial Automation Domain.
- Lead the architecture, design, development and production of our products and services
- Coach and lead a team of engineers and grow the team for future growth
- Coordinate and work closely with cross-border teams
- Participate as a hands-on contributing software team member
- Establish best engineering practices through compact design decisions, process, and tools
- Measure and improve product quality continuously work with hardware engineering at a technical level
- Prepare budgets, resource estimates, and schedules for development for new software releases, features and products
- Hire, inspire and lead the high-performing team.
You would fit if, you are :
- Tech Entrepreneur with 10+ Years of experience in Building Scaling Products.
- Successfully built start-ups or Product Teams from the scratch.
- Must be PhD, MS, or Any equivalent Computer Science Graduation.
- Must be hands on Developer/Architect/Technical Leader
- Demonstrated ability to build and launch large-scale, distributed cloud backend products
- Experience in building data analytics platform/solutions, machine learning, or advanced algorithms applications
- Extensive development experience with at least one major cloud stack
- Passion for building beautiful and easy to use the web and mobile applications
- Ideally from Electronics Design, Mechanical Engineering Background.
- 2+ years work experience in the US at a product based company is a plus.
- Past experience/interest in designing and developing hardware or connected devices
- Mathematical inclination and familiarity with statistics
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