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Computer Vision Engineer @ Sumanas Technologies

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 Computer Vision Engineer

Job Description

Job description


Position: Computer Vision Engineer

Experience Level: 5-12 yrs

Location: Madurai/Coimbatore

Type: Full-time

Vacancy:03


Note: Immediate Joiners preferred


Job Overview :

We are looking for an experienced Computer Vision Engineer with expertise in image processing, machine learning, and deep learning. The ideal candidate should have hands-on experience developing and deploying computer vision algorithms and deep learning models using Python, OpenCV, and YOLO, along with proficiency in CUDA and NumPy. This role involves research, model optimization, and real-world deployment of cutting-edge computer vision solutions.


Key Responsibilities :

  • Develop and deploy computer vision algorithms and deep learning models for diverse applications.
  • Design and implement computer vision models using state-of-the-art techniques and frameworks.
  • Explore and analyze unstructured data like images through image processing techniques
  • Analyze, evaluate, and optimize existing computer vision systems for improved 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 meeting project requirements
  • Monitor the performance and accuracy of deployed computer vision models, making necessary adjustments.
  • 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.

Requirements :

  • Bachelor's degree in Computer Science or a related field and above.
  • Proven experience in developing and deploying computer vision systems.
  • Strong knowledge of computer vision algorithms, libraries, and tools such as: OpenCV, TensorFlow, PyTorch, Keras, NumPy, scikit-image, Matplotlib, Seaborn, YOLO, etc.
  • Familiarity with GPU acceleration and optimization tools like CUDA, OpenCL, OpenGL.
  • Expertise in computer vision applications, including : Object detection, image classification, text detection & OCR, face detection, generative models, video analytics, object tracking, and model compression/optimization.
  • Experience with runtime AI frameworks such as ONNX, TensorRT, OpenVINO.
  • Hands-on experience with cloud platforms (AWS, Azure), Docker, Kubernetes, and GitHub
  • Experience in training models using GPU computing or cloud-based environments.
  • Familiarity with machine learning and deep learning concepts and frameworks.
  • Strong problem-solving and analytical skills.
  • Ability to work independently in a fast-paced environment and collaborate effectively in a team.

Preferred Qualifications :

  • Experience in real-time video processing and streaming analytics.
  • Knowledge of Edge AI and deployment on embedded systems.
  • Exposure to 3D vision, SLAM, and depth estimation.
  • Contributions to open-source computer vision projects.

Interested candidates may email their resumes to

mail to: in*o@su********h.com

Or contact via Call or WhatsApp at

9952870***

8870444***

You can take a look at our Company Profile here:

https://www.sumanastech.com/


Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Computer Vision
Employement Type: Full time

Contact Details:

Company: Sumanas Technologies
Location(s): Madurai

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Keyskills:   Pytorch Opencv Deep Learning Tensorflow Object Detection Image Processing Image Recognition Aiml Computer Vision

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Sumanas Technologies

T-Systems Information and Communication Technology India Private Limited (TSIN) is a wholly-owned subsidiary of T-Systems International GmbH and has a presence in Pune, Bangalore and Nagpur with 3500+ employees providing services to group customers. With around 27,000 employees worldwide and annual ...