Computer Vision Engineer

5 days ago

Hyderabad, Telangana, India iHub-Data, IIIT Hyderabad Full time ₹ 6,00,000 - ₹ 18,00,000 per year

Job Title : Computer Vision Engineer

Position: Fulltime / Onsite - Regular Shift

Organisation Name : IIIT H Data I Hub foundation ( IHub-Data )

Location: Inside the IIIT University, Gachibowli ,Hyderabad,Telangana

Primary Skills:Computer Vision, Machine Learning, Artificial Intelligence, Python, Deep Learning

Degree:B.Tech/B.E.

Job Description:

iHub-Data is seeking a talented and experienced Machine Learning/Deep Learning Software Engineer to join our dynamic and innovative team. The ideal candidate should have a strong background in machine learning and deep learning, with hands-on experience in developing and implementing cutting-edge algorithms and models. As a Machine Learning/Deep Learning Software Engineer, you will play a crucial role in designing, developing, and optimizing our machine learning solutions to solve complex problems and drive innovation in our products. We are looking for a passionate engineer, who will help build, demonstrate on scale - practical applications in using images and video.

Key Responsibilities:

In this position, the person will be required to at least, but not limited to:

  1. Scale up proof-of-concept (POC) applications using state-of-the-art implementations in machine learning and deep learning.
  2. Evaluate and implement existing or create new or modifications ML/DL methods. Experience in building software prototypes of image processing, computer vision and machine learning applications is a must. Hands-on, experimental work in machine learning is an added advantage.

Required skills:

  1. Bachelors or higher degree, in ECE, CS, or EEE disciplines with a strong programming knowledge.
  2. Deep expertise in programming with Python, C/C++.
  3. Good exposure to Py Torch/TensorFlow, OpenCV and related toolkits.
  4. Some experience in image processing, machine learning.
  5. Comfort with collaboration, open communication and reaching across functional borders.
  6. Experience working in a research or academic environment.
  7. Ability to clearly articulate design and implementation choices.
  8. Ability to use a wide variety of open-source technologies and tools.
  9. Comfort with frequent, incremental code testing and deployment.
  10. Comfort with collaboration, open communication and reaching across functional borders.
  11. Experience working in a research or academic environment.

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