Job Description

A member of the team, you will research, design, implement, optimize and deploy image processing algorithms to evolve our AI ecosystem continuously. The usual day-to-day tasks include developing the optical processing pipeline for various platforms, implementing new image processing algorithms, calibration of the sensors, fine-tuning them on our data, reviewing performance metrics, integrating and optimising the algorithms to run efficiently in our platform while continuously iterating and improving based on real-world performance.

Roles and Responsibilities

Select, test, implement and optimize image processing and image analysis using both classical and deep learning methods to extract relevant signals from imaging data
Design and implement algorithms to carry out image processing including filtering, alignment, segmentation, and feature extraction efficiently across multi-terabyte sized datasets
Research and fine-tune the latest image processing algorithms on our dataset to run efficiently while optimising based on real-time performance
Write robust, well-documented, and well-tested code libraries that adhere to community standards and best practices
Image Processing Engineer to Develop CI/CD pipeline patterns and best practices
Collaborating with a team of data scientists, DevOps, Data engineers, and ML engineers

Skills

Technical Skills

Desired Candidate Profile

Strong Foundation in Mathematical Statistics.
Logical Thinking & Ability to Comprehend key facts.
Background in basic image processing or basic signal processing will be preferred
Experience with data science tools including Python scripting, CUDA, numpy, scipy, matplotlib, scikit-learn, bash scripting and Linux environment.
Proficiency in Python and C++ Programming is a must.
Preferred Experience in remote sensing or related fields.
Ability to collaborate effectively across the team
A detail-oriented team member who can consistently meet deadlines

Image Processing Engineer