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Machine Learning Engineer - india, India - Overture Rede Private Limited
Description
Job DescriptionDesignation: AI ML Engineer
Job Location: Amantya Bangalore Office
Position: 1
Experience: 8-10 years
Responsibilities:
1. Design and develop machine learning models for disease detection using ophthalmology images, including Fundus images and OCT.
2. Extract features and preprocess the ophthalmology images to optimize the performance of the machine learning models.
3. Collaborate with the research team to identify relevant datasets and create accurate training data.
4. Train and fine-tune the machine learning models using state-of-the-art algorithms and techniques.
5. Evaluate and validate the performance of the machine learning models on both internal and external datasets.
6. Continuously improve the accuracy and efficiency of the disease detection models through experimentation and fine-tuning.
7. Stay updated with the latest advancements and research in the field of ophthalmology and machine learning for better optimization of models.
8. Work closely with cross-functional teams to integrate the developed models into existing applications or systems.
Mandatory Key Skills:
1. Proficient in training machine learning models specifically for disease detection using ophthalmology images, such as Fundus images and Optical Coherence Tomography (OCT).
2. Knowledge and understanding of CNN, Transformers and other related algorithms.
3. Familiarity with computer vision libraries and frameworks such as OpenCV, TensorFlow, PyTorch, Keras, Scikit-learn, and Scikit-image.
Requirements
Skill Required:
• 3+ years of Experience with education in B.Tech/B.E or M.Tech/M.E(ECE) or any other relevant degree.
• Strong programming experience in C/C++ in embedded domain.
• Strong debugging and problem-solving skills.
• Experience with common embedded protocols/interfaces like
• I2C, SPI, USART, buses, bridge chips, FPGAs, hardware queues/FIFOs, interrupts, DMA,
• Experience in multi core, multi thread, IPC, system programming, GDB, kernel/user space interfaces in Linux OS Ability to work up and down the embedded stack: boot loader, device drivers, kernel, user space.
• Experience in using source control, bug tracking and other relevant tools. Well versed with software development process. Good to have
• ability to read schematics, understand device datasheets
• use lab tools like - JTAG, oscilloscopes, power sources, multi-meters, etc
• experience in SDK/tool chain setup, make files, scripting
