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  • Manager of Artificial Intelligence - india - KLA

    KLA
    KLA india

    1 week ago

    Description

    Job Title: Lead Algorithm Engineer

    About Klara

    Klara is a technology company that requires the expertise of skilled algorithm engineers to drive our innovative projects forward.

    Key Responsibilities

    • Lead and Mentor Team Members: Provide guidance and support to ensure the professional growth and success of your team members.
    • Infrastructure Development: Develop and maintain the infrastructure required for the deployment and execution of algorithms at scale.
    • Collaboration and Solution Design: Collaborate with data scientists, software engineers, and product managers to design and implement robust and scalable algorithmic solutions.
    • Optimization and Improvement: Optimize algorithm performance and resource utilization to meet business objectives, while driving continuous improvement in development processes, tools, and methodologies.

    Requirements

    • Educational Background: Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
    • Experience: Proven experience in developing computer vision and image processing algorithms and ML/DL algorithms.
    • Technical Skills: Familiarity with high-performance computing, parallel programming, and distributed systems; proficiency in programming languages such as Python, C++, and CUDA.
    • Leadership and Communication: Strong leadership and team management skills, with a track record of successfully leading engineering teams, and excellent communication and collaboration abilities.

    Preferred Qualifications

    • Machine Learning Frameworks: Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
    • GPU Architecture: Experience with GPU architecture and algo development toolkit like Docker, Apptainer.

    Minimum Qualifications

    • Degree and Experience: Bachelor's degree plus 8+ years of experience, or Master's degree plus 6+ years of experience.
    • Technical Knowledge: Familiarity with high-performance computing, parallel programming, and distributed systems.

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