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    Machine Learning Engineer - Bengaluru, India - Risah Careers

    Risah Careers
    Risah Careers Bengaluru, India

    2 hours ago

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    Description

    Responsibilities :

    • Design, develop, and implement cuttingedge machine learning models and algorithms for Generative AI and Computer Vision applications, focusing on areas such as image generation, style transfer, and image synthesis.
    • Conduct indepth research and experimentation to explore novel techniques in deep learning and generative models (e.g., GANs, VAEs) to generate realistic and diverse visual content.
    • Utilize computer vision techniques including object detection, segmentation, and tracking to develop robust and accurate models for various applications.
    • Work closely with data scientists, software engineers, and domain experts to gather requirements, understand business needs, and design solutions that leverage generative AI and computer vision effectively.
    • Preprocess and analyze largescale datasets, ensuring data quality, applying data augmentation techniques, and implementing appropriate feature engineering strategies.
    • Optimize and finetune machine learning models to improve performance, efficiency, and scalability, utilizing techniques such as model compression, pruning, and quantization.
    • Evaluate and benchmark different machine learning frameworks, libraries, and tools to identify the most suitable options for specific generative AI and computer vision projects.
    • Stay uptodate with the latest advancements in machine learning, generative AI, and computer vision, actively participating in conferences, workshops, and research forums.
    • Collaborate with the team to publish research findings, methodologies, and technical papers, contributing to the machine learning community and enhancing our company's reputation.
    • Document research experiments, methodologies, and technical specifications, ensuring knowledge transfer and reproducibility of results.
    • Participate in code reviews, provide constructive feedback, and promote best practices in software development and machine learning engineering.

    Requirements :

    • Bachelor's, Master's, or PhD degree in Computer Science, Engineering, Mathematics, or a related field, with a strong focus on machine learning, computer vision, or artificial intelligence.
    • Extensive experience in developing and deploying machine learning models for Generative AI and Computer Vision applications.
    • Proficiency in Python programming language and solid familiarity with frameworks and libraries such as TensorFlow, PyTorch, Keras, and OpenCV.
    • Deep understanding of deep learning architectures and generative models, including GANs, VAEs, and their variants.
    • Strong knowledge of computer vision techniques, including object detection, segmentation, tracking, and image synthesis.
    • Proven experience in largescale data processing, preprocessing, and feature engineering, with an emphasis on handling diverse and unstructured visual data.
    • Strong analytical and problemsolving skills, with the ability to explore and experiment with innovative solutions for complex generative AI and computer vision challenges.
    • Excellent communication and collaboration skills, with the ability to work effectively in crossfunctional teams.
    • Solid understanding of software engineering best practices, version control systems (e.g., Git), and agile development methodologies.
    • Demonstrated research experience, publications, or contributions to the machinelearning community are highly desirable.)
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