Computer Vision ML Engineer
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Computer Vision ML Engineer

Date Posted
25 July 2026
Location
Positions
1
Employment Information
Job Level
Mid Level
Open Positions
1
Location
Bangalore
Address
Bengaluru, India
Experience
3 Years
Functional Area
Technology
Job Description

As a Computer Vision Engineer at Hurrey, you will be at the forefront of pioneering projects that leverage cutting-edge technologies to reshape the future. You will play a vital role in developing and deploying innovative solutions in image and video processing, utilizing tools such as YOLO, OpenCV, PyTorch, Transformers, and more. Your expertise will drive the development of advanced computer vision algorithms and applications, contributing to the creation of groundbreaking products that redefine industry standards.

    • Develop and implement computer vision algorithms and models for image and video processing tasks.

    • Research and Validate product requirements from research papers and convert it into executable code

    • Prepare custom dataset for fine tuning models as and when required.

    • Utilize YOLO, OpenCV, PyTorch, Transformers, and other relevant tools and frameworks to build robust and scalable solutions.

    • Collaborate with cross-functional teams to understand project requirements and translate them into technical specifications.

    • Conduct research to stay updated on the latest advancements in computer vision and machine learning.

    • Optimize algorithms for performance and efficiency, ensuring seamless deployment in real-world scenarios.

    • Design and conduct experiments to evaluate the effectiveness of developed solutions and iterate based on feedback.

    • Participate in code reviews, contribute to documentation, and provide technical guidance to team members.

    • Bachelors, Masters, or Ph.D. degree in Computer Science, Electrical Engineering, or related field.

    • Proven experience in developing computer vision algorithms and applications, with a focus on image and video processing.

    • Proficiency in programming languages such as Python, C/C++, and experience with relevant libraries and frameworks (e.g., OpenCV, PyTorch).

    • Solid understanding of deep learning techniques and frameworks, including convolutional neural networks (CNNs) and transformers.

    • Experience with object detection, segmentation, tracking, and other computer vision tasks.

    • Strong problem-solving skills and the ability to work effectively in a fast-paced, collaborative environment.

    • Excellent communication skills and the ability to articulate complex technical concepts to diverse stakeholders.

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