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Job Type

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Job Description

Position - Algorithm / Library Developer

Experience - 4+ years

Location - Gurgaon (5 Days WFO)


If you are interested kindly fill out the form: https://forms.gle/3PxT1tBitCJcbT2i7


About Company:

detect, predict, and heal


Role Overview :

AI/ML Library Developer


Key Responsibilities:

  • Design and develop new AI/ML libraries

    in Python , C/C++ to support scalable, high-performance machine learning workflows.
  • Enhance and maintain existing libraries

    , ensuring they meet evolving requirements and deliver robust performance.
  • Integrate developed libraries

    seamlessly with broader application architectures and pipelines.
  • Provide technical mentorship

    to junior developers, conducting code reviews, pair programming, and knowledge-sharing sessions.
  • Collaborate closely with data scientists, research engineers, and product teams to translate requirements into efficient, well-architected solutions.
  • Develop clear, maintainable documentation for all components, APIs, and workflows.
  • Proactively identify opportunities to improve performance, reliability, and maintainability across the codebase.


Required Skills & Qualifications:

  • 3+ years of hands-on experience

    in C/C++ development, ideally in systems, libraries, or performance-critical components.
  • Strong understanding of AI/ML concepts

    , algorithms, and deployment workflows (e.g., model training, inference, optimization).
  • Demonstrated experience in

    developing and maintaining libraries

    that are consumed by other applications or teams.
  • Proficiency in integrating C/C++ libraries with higher-level languages (e.g., Python, Java) is a plus.
  • Experience in

    mentoring junior engineers

    , conducting code reviews, and contributing to best practices.
  • Familiarity with cross-platform development, build systems (CMake, Make), and version control (Git).
  • Excellent problem-solving skills, with a passion for clean, efficient, and well-documented code.


Nice to Have:

  • Exposure to CUDA, OpenCL, or other GPU programming frameworks.
  • Experience with modern AI/ML frameworks (TensorFlow, PyTorch, ONNX) and their C/C++ APIs.
  • Knowledge of performance profiling tools and techniques for optimization.

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