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Lead Machine Learning, Computer Vision Software Engineer @ Luxoft

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 Lead Machine Learning, Computer Vision Software Engineer

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

Job Classification

Industry: Legal
Functional Area / Department: Engineering - Software & QA
Role Category: Quality Assurance and Testing
Role: Post Silicon Test Engineer
Employement Type: Full time

Contact Details:

Company: Luxoft
Location(s): Bengaluru

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Keyskills:   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

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Luxoft

Luxoft India LLP