Senior Computer Vision Engineer Position

1 day ago


Hyderabad, Telangana, India iHub-Data, IIIT Hyderabad Full time
Job Title : Senior Computer Vision Engineer

Location: iHub-Data, IIIT Hyderabad.

This is a challenging position for an experienced computer vision engineer to join our innovative team at iHub-Data, IIIT Hyderabad. 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 senior computer vision 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 and highly skilled engineer who can build, demonstrate on scale - practical applications using images and video.

  • Evaluate existing or create new ML/DL methods and implement state-of-the-art implementations in machine learning and deep learning.

The person in this position will be required to scale up proof-of-concept (POC) applications and evaluate the effectiveness of these implementations.

In order to be successful, the candidate should have a bachelor's or higher degree, preferably in ECE, CS, or EEE disciplines, with a strong programming knowledge. Additionally, they should have deep expertise in programming with Python, C/C++ and good exposure to Py Torch/TensorFlow, OpenCV, and related toolkits. Experience in image processing, machine learning, collaboration, open communication, and reaching across functional borders is also essential.

iHub-Data offers an attractive salary package including a base salary range estimated between ₹1,200,000 to ₹2,000,000 per annum, based on experience. We also offer opportunities for professional growth and development in a dynamic environment.

Key Responsibilities:

Designing and Developing Machine Learning Solutions: You will work closely with our cross-functional teams to design and develop cutting-edge machine learning solutions that meet the needs of our clients. This includes developing and deploying machine learning models, integrating them into our existing software, and ensuring seamless integration with other systems.

Implementing State-of-the-Art Technologies: Stay up-to-date with the latest advancements in machine learning and deep learning technologies and implement them in our solutions. This includes experimenting with new techniques, tools, and frameworks, and evaluating their effectiveness.

Collaborating with Cross-Functional Teams: Work closely with our software engineering, research, and product management teams to ensure that our machine learning solutions meet the needs of our clients and align with our business objectives.

Evaluating and Refining Our Solutions: Continuously evaluate and refine our machine learning solutions to ensure they remain competitive and effective. This includes analyzing user feedback, benchmarking our solutions against industry standards, and identifying areas for improvement.

Maintaining High-Quality Code: Write clean, well-documented, and high-quality code that meets our coding standards and best practices. Ensure that our machine learning models and algorithms are properly documented, tested, and validated.

Staying Up-to-Date with Industry Developments: Stay current with the latest advancements in machine learning, deep learning, and artificial intelligence. Attend conferences, read industry publications, and participate in online forums to stay informed about new trends and breakthroughs.



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