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    Machine Learning Engineer - Delhi, India - Overture Rede Private Limited

    Overture Rede Private Limited
    Overture Rede Private Limited Delhi, India

    6 days ago

    Default job background
    Description

    Job DescriptionDesignation:
    AI ML Engineer


    Job Location:
    Amantya Bangalore Office

    Position: 1

    Experience: 8-10 years


    Responsibilities:

    • Design and develop machine learning models for disease detection using ophthalmology images, including Fundus images and OCT.
    • Extract features and preprocess the ophthalmology images to optimize the performance of the machine learning models.
    • Collaborate with the research team to identify relevant datasets and create accurate training data.
    • Train and fine-tune the machine learning models using state-of-the-art algorithms and techniques.
    • Evaluate and validate the performance of the machine learning models on both internal and external datasets.
    • Continuously improve the accuracy and efficiency of the disease detection models through experimentation and fine-tuning.
    • Stay updated with the latest advancements and research in the field of ophthalmology and machine learning for better optimization of models.
    • Work closely with cross-functional teams to integrate the developed models into existing applications or systems.
    Requirements


    Mandatory Key Skills:

    • Proficient in training machine learning models specifically for disease detection using ophthalmology images, such as Fundus images and Optical Coherence Tomography (OCT).
    • Knowledge and understanding of CNN, Transformers and other related algorithms.
    • Familiarity with computer vision libraries and frameworks such as OpenCV, TensorFlow, PyTorch, Keras, Scikit-learn, and Scikit-image.

    Benefits NARequirementsSkill 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
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