As an early member of the engineering team, you will play a key role in developing the core software and maintaining & upholding the culture of brilliance in our tightly knit organization.

You will:

• Participate in the design, development and deployment of AI systems that are on par with the state-of-the-art available in the market today.
• Develop high quality software across all applications of the product.
• Indulge in the full product design, development, and deployment cycle by working closely with the business, product and engineering teams.
• This is an exceptional opportunity to bring an entire industry to the forefront of the digital age, and we are excited to work together with like-minded and ambitious leaders like you to realize this potential.

WHO YOU ARE

• You are passionate about working in a fast paced, dynamic, friendly team and are looking for a challenging and rewarding opportunity to build a top-tier product. You agree with the following:
• You have an entrepreneurial spirit and are excited by the opportunity to shape the development of a young business.
• You are passionate about developing state-of-the-art AI, Computer Vision and NLP technologies.
• You are eager to keep yourself up to date with the latest developments, tools and frameworks in AI.
• You are detail-oriented and meticulous, but also understand the importance of rapid iteration in an agile development environment.
• You are knowledgeable about how digitization & automation has impacted other industries and are excited to find new applications for technology in construction.
• You are not afraid to get your hands dirty and believe that no task is beneath you when it comes to delivering a world-class product.
• You love to learn and are especially good at picking up new concepts quickly.
• You are self-driven and take pride in your work.
• You are willing to occasionally make yourself available outside regular IST working hours to accommodate collaboration with a globally distributed team.

WHAT YOU WILL DO

• Design and develop Computer Vision, NLP, and Recommendation Systems for our app.
• Develop, train and deploy deep learning and machine learning models.
• Research and implement novel deep learning architectures.
• Integrate in the cycle of product design, development, integration and testing for our apps.
• Own and develop product features from concept to implementation.
• Develop products which will be cutting edge & highly scalable to deal with huge data volumes and extensible to onboard new clients.
• Work closely with product managers, UX designers and end-users for integrating software and AI components into a fully functional system.
• Design complete end-to-end data and ML pipelines
• Uphold our culture of engineering excellence.
• Collaborate with the leadership team in research and development efforts.

WHAT DOES YOUR ARSENAL LOOK LIKE

Required

• Bachelor’s or master’s degree in Science or Engineering field and excellent programming, critical thinking and analytical skills
• Strong conceptual understanding of machine learning and deep learning. Deep learning expertise in Computer Vision or Natural Language Processing
• Experience with implementing ML projects in Python and working knowledge of Python libraries like numpy, sklearn, matplotlib, pandas, etc
• Experience with implementing and training deep learning models in TensorFlow/Keras or Pytorch
• Ability to write clean, efficient, and bug-free code.
• Ability to lead an initiative from concept to operation, navigating all stages and roadblocks on the way.

Preferred but Optional

• Experience working with applications hosted on AWS and Django web framework.
• Experience with databases and web application architecture
• Experience with programming in C/C++
• Experience working with OCR and PDF processing libraries.
• Good knowledge of algorithms and data structures
• Completed academic or online specializations in Machine Learning and Deep Learning
• Participation in competitive programming, Kaggle competitions, contribution to open-source projects, etc.
• Experience working with geographically distributed teams across multiple time-zones.