Qualification : Computer Science or a related field

Experience : 3 – 5 years

No. of Vacancy :1

Job Description

Responsibilities

    • Develop and deploy computer vision algorithms and deep learning models for diverse problems.
    • Design and implement computer vision models using state-of-the-art techniques and frameworks.
    • Explore and analyze unstructured data like images through image processing.
    • Analyze, evaluate and optimize existing computer vision systems to improve performance and accuracy.
    • Test and validate computer vision code and models, ensuring robustness and reliability.
    • Research and implement new computer vision technologies to stay at the forefront of the field.
    • Collaborate with cross-functional teams to develop innovative solutions that meet project requirements.
    • Monitor the performance and accuracy of computer vision models, making necessary adjustments and improvements.
    • Maintain and update computer vision systems to ensure their continued functionality and relevance.
    • Provide technical support and guidance to team members and customers using computer vision systems.

Skills

    • 3 – 5 years of experience as a Computer Vision Engineer.
    • Bachelor’s degree in Computer Science, or a related field.
    • Proven experience in developing computer vision systems, including hands-on implementation and deployment.
    • Strong knowledge of computer vision algorithms, libraries and tools, such as OpenCV, TensorFlow, PyTorch, Keras, NumPy, scikit-image, PIL, Matplotlib, Seaborn, etc.
    • Familiarity with tools and libraries commonly used in computer vision projects such as CUDA, OpenCL, OpenGL.
    • Expertise in various computer vision projects including object detection, image classification, text detection & OCR, face detection, generative models, video analytics, object tracking and model compression/optimization.
    • Knowledge of runtime AI frameworks like ONNX, TensorRT, OpenVINO.
    • Experience in cloud platforms (AWS, Azure), Docker, Kubernetes and GitHub.
    • Experience in training models through GPU computing or on the cloud.
    • Familiarity with machine learning and deep learning concepts and frameworks.
    • Excellent problem-solving skills and the ability to think analytically.
    • Good written and verbal communication skills for effectively communicating with the team and ability to present information to varied technical and non-technical audiences.
    • Ability to work independently and in a fast-paced environment and also be able to work in a team when required.

Desired Candidate Profile

Experience: 3 – 5 years

Location: Bangalore / Coimbatore

Qualification: B.com., B.Sc., BCA., MSW., M.com., MBA.

Job Type: Full-Time, Permanent

Schedule: Day Shift, Monday to Friday

Workplace Type: On-site (Work from Office)

Notice Period: Immediate

Job Category: Compliance Associate
Job Location: bangalore

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