Machine Learning Engineer IRC98103
Global Logic
Poland, Krakow
5 d. temu

Description

GlobalLogic is a full-lifecycle product development services leader that combines chip-to-cloud software engineering expertise and vertical industry experience to help our customers design, build and deliver their next-generation products and digital experiences.

This particular project is focused on the research and development of Automotive ADAS features for DashCams. Optimize Machine Learning models and Computer Vision algorithms and integrate the new features with Client WH / SW.

Requirements

  • Bachelor’s degree in Computer Science or another related field
  • Solid understanding of the OOP principles
  • 2+ years experience in one of the following programming languages : Python or C++
  • Experience in methods for computer vision, deep learning, pattern recognition / machine learning, computer graphics or similar field.
  • Experience in Object Detection, Object Classification Object Tracking, and Image Segmentation
  • Intermediate English or above
  • Responsibilities

  • Design and development of ML models and algorithms
  • Engineering Computer Vision and Image processing app
  • Design and development of ML models and algorithms
  • Research & Development for various type of projects
  • Continuous improvement of internal Machine Learning frameworks and tools
  • We Offer

    Exciting Projects : With clients across all industries and sectors, we offer an opportunity to work on market-defining products using the latest technologies.

    Collaborative Environment : You can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment or even abroad in one of our global centers or client facilities!

    Work-Life Balance : GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules.

    Professional Development : We develop paths suited to your individual talents through international knowledge exchanges and professional certification opportunities.

    Excellent Benefits : We provide our employees with private medical care, sports facilities cards, group life insurance, travel insurance, relocation package, food subsidies and cultural activities.

    Fun Perks : We want you to feel comfortable in your work, which is why we create good working environment with relax zones, host social and teambuilding activities and stock our kitchen with delicious teas and coffees!

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