Lead Machine Learning, Computer Vision Software Engineer

Luxoft

3 - 5 years

16 - 20 Lacs

bengaluru

Posted:5 hours ago| Platform:

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Skills Required

software engineer image processing algorithms c ai machine learning research cloud r tensorflow embedded software use cases computer vision linux pytorch cloud infrastructure software engineering opencv ml

Work Mode

Work from Office

Job Type

Full Time

Job Description

Project description

Our client, a leading manufacturer of high-end household appliances, is expanding into new smart product lines. As part of this strategic initiative, a large-scale global program is being implemented across the company's IP portfolio. This includes the development of new embedded software, enhancements to cloud infrastructure.

Responsibilities

Work directly with computer vision perception engineers, and camera ISP engineers.
Define the image quality requirements for customer use cases
Develop image processing algorithms to optimizing the camera image quality for performance improvement of computer vision applications
Develop custom ML models for visual recognition and training it from scratch
Quantization and pruning the ML models
Data evaluation using relevant metrics to increase the model performance
Implement computer vision/image processing algorithms in fast/optimal C++ code
Implement heuristic/math algorithms and probabilistic methods for camera AI
Research existing C++ solutions for CV logic
Develop cross platform C++ code
Cover algorithms and CV code with unitest
Ramp up on new technologies related to CV/ML/algorithms (not R&D)
Integrate machine learning modules into algorithms

Skills

Must have
Bachelor's Degree or greater in Computer Science, Software Engineering, or related field.
3-5 years of experience developing computer vision applications/algorithms
Participate in at least 2 image processing / computer vision projects and 1 of them productized
Image processing / computer vision background/understanding
Strong C/C++ experience
Experience with OpenCV and ML frameworks such as Pytorch, TensorFlow, TensorFlow Lite
Deep understanding of neural network architectures
Experience to work with embedded devices in C++ on Linux
Decent understanding geometry 2D/3D and algebra
Desire to learn new technologies
Desire to follow test driven development(in CV/ML too)

Nice to have

Experience with machine learning integration, inference engines
Machine learning general understanding
Building for Android/Yocto experience
OpenCL/cuda or OpenGL/Vulkan(shaders) experience/understanding and desire to learn or any different SIMD language

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