Machine Learning Engineer (Remote)

ROLE SUMMARY

As an early member of the AI team, you will play a key role in developing the core software and also 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
• Work on cutting edge data science problems and expose yourself to the world of LLMs & NLP.
• Indulge in the full product design, development and deployment cycle by working closely with the business, product and engineering teams
• Be at the forefront of cutting-edge technologies and get to learn best practices from some of the best minds in the industry

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 individuals like you to realize this potential. It is preferred if the applicant(s) are located in Bengaluru and can report regularly to the office.

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 a minimum and relevant work experience of 3+ years in this field
• 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, NLP & LLMs.
• You are well versed with deployments on different platforms such as AWS & GCP and don’t fear getting your hands dirty.
• 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 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 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