Lead AI Computer Vision Scientist

Key Responsibilities:

Build computer vision applications for the data captured from fixed cameras or drones.

Should be able to analyze the images for industrial complex like power plants, power distribution, refineries, petrochemical etc.

Ability to select the appropriate classified image libraries and algorithms to develop anomaly detection application

Should be able to program the application to automate the detection.

Should be well versed with various imaging formats.

Assist in installation and running of product demonstrations.

Test and reform algorithms to analyze videos images and improve detection sensitivity.

Evaluate various state-of-the-art computer vision algorithms and recommend the best fit for case-to-case basis.

Develop and automate application to support routine inspection through drones.

Port, implement, and optimize analytics and machine learning algorithms using special purpose computing architectures.

Secondary support and bug fixing for active applications at client sites

Contribute in expanding and sustain knowledge base through training and mentoring of peers and subordinates.

Establish technical performance benchmark

Support Sales team during bidding process with technical clarifications

Support project team with estimates, schedules and resources loading.

Develop solution architecture and generate draft for design reviews.

Help in developing project documentation and client training.

Help in developing project documentation and client training.

Technical Skills & Experience:

10+ years of work in building computer vision applications using AI.

Hands on and strong project experience in developing computer vision applications using Framework and Image Libraries: Open CV, TensorFlow and Keras.

Well versed and proficient in Python, C++ scripting languages

Experience into industrial computer vision applications using AI

Experience of working drone based data (nice to have)

Experience in latest computer vision frameworks for pre-trained models

Experience in industrial automation use cases using computer vision AI

Certification in AI / Data Analytics / Deep Learning is desired

Having a personal Github account will be an advantage.

Analytical capabilities to support engineering decisions.

Experience in real-time video analytics pipeline.

Drone based data analytics and modeling for anomaly detection.

Process or Power industry experience is desired.

Good in documentation practices, writing reports and project protocols.

High level of technical aptitude

Microsoft Office and technical presentation skills.

Educational Qualifications & Certifications

B.E/B.Tech from recognized University