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:
- Scale up proof-of-concept (POC) applications using state-of-the-art implementations in machine learning and deep learning.
- 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:
- Bachelors or higher degree, in ECE, CS, or EEE disciplines with a strong programming knowledge.
- Deep expertise in programming with Python, C/C++.
- Good exposure to Py Torch/TensorFlow, OpenCV ,NumPy and related toolkits.
- Some experience in image processing, machine learning.
- Comfort with collaboration, open communication and reaching across functional borders.
- Experience working in a research or academic environment.
- Ability to clearly articulate design and implementation choices.
- Ability to use a wide variety of open-source technologies and tools.
- Comfort with frequent, incremental code testing and deployment.
- Comfort with collaboration, open communication and reaching across functional borders.
- Experience working in a research or academic environment.
- Strong Python, NumPy, OpenCV; solid PyTorch and data handling.
- Deep models: detection/segmentation/pose (YOLO/DETR/U-Net/ViT), training, and metrics (mAP, IoU).
- Performance & deploy: ONNX/TensorRT, quantization/distillation, Jetson/CUDA, GStreamer/FFmpeg.
- Prod skills: FastAPI, Docker/CI-CD, experiment tracking, logging/monitoring, clear documentation & teamwork.
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