Data Scientist- Computer Vision

In this role, you will work with cutting-edge technologies, research new areas, think out of the box and inspire engineers working for you to do the same. You will create the technological future of the automotive insurance and small damage repair space. 

Responsibilities:

• Support the design & architecture of core AI/ML modules that power the highly differentiated products by leveraging Deep Learning, Classical Machine Learning and system architecture expertise.   
• Work with a highly energetic and qualified team of AI experts in a fast-paced environment. 
• Hold the responsibility for all deliverables produced by you. Conduct accuracy audits, stress testing to ensure that the AI models you deliver are robust, accurate and efficient.
• Keep abreast of the latest technological trends related to ML and AI. Prepare yourself to become a recognized thought leader in at least one niche of your interest. 
• Learn and grow as a well-rounded AI/ML practitioner by being exposed to a broad variety of AI/ML problems, the highest level of rigor and experience with owning some of the most challenging AI/ML projects in the field. 
• Be proud of the work you are doing and the impact it is having.  

Skills and Qualifications:

• Have BE / BTech / BS / ME / MS in engineering, mathematics or computer science. 
• Have 3+ years of experience as an AI/ML Developer with at least 1.5 years in OCR or NLP.  
• Have hands-on experience with at least two of Tensorflow, PyTorch, Caffe, Darknet, DeepStream, OpenVino.
• Have a strong foundation in core Computer Vision, Deep Learning, ML and Statistical Inference concepts, and are experienced with teaching / guiding junior members of the team. You’re also eager to pick up new technologies such as Reinforcement Learning on the job.
• Have the basic familiarity of Data Pipeline Engineering and ML-Ops Concepts. 
• Are proud to be a data-geek. You love going on a date with data; enjoy the long, winding, unpredictable explorations with data that often lead to game-changing insights or root cause of a failure mode or surprising patterns. 
• Are a math-majnu who loves dancing with the math. You can read a ML / AI paper, understand it in good depth, and quickly implement the core concept in a programming language of your choice. 
• Enjoy spending hours coding away on a terminal. Preferably in Python, C, C++. You think-through the design of your algorithm to avoid logical flaws and redundancies. You love brevity, but never trade readability for brevity. Git push is your hygiene routine, just like brushing your teeth every day. 
• Carry a healthy obsession for testing, reproducibility and rigor in general. For developing any new feature / module, you habitually start by first writing code for the test-cases _before_ you start writing the algorithm module. You always fret about 'reproducibility' of your results on “un-seen” data and put in the necessary mechanisms to ensure the same. 
• An owner’s mindset - you don’t shy away from the hard stuff.
• Scrappiness, can-do attitude, and the confidence to just get stuff done.

Added Value:

• Prior experience with automotive InsureTech, damage detection, small damage repairs domain is a plus. 
• Hands-on experience with deploying the models and algorithms on Azure ML is a plus. 
• Hands-on experience with Data Pipeline Engineering, and ML Ops is a plus.