Job Description

  • Competetive Salary
  • PF and Gratuity

    • About Our Client

    Our client is an international professional services brand of firms, operating as partnerships under the brand. It is the second-largest professional services network in the world

    Job Description

    Your Responsibilities

  • Develop, optimize, and deploy embedded machine learning models.
  • Ensure performance, memory optimization, and energy efficiency of AI solutions.
  • Integrate ML algorithms with embedded controllers and edge computing platforms.
  • Collaborate closely with automation and software engineers to translate AI solutions into production-grade embedded systems.



    • Our Requirements

  • Degree in Computer Science, Electrical Engineering, or related field.
  • Strong proficiency in Python, C/C++, and embedded programming.
  • Experience with embedded ML frameworks (, TensorFlow Lite, ONNX, Edge Impulse).
  • Understanding of real-time embedded systems and microcontroller architectures.
  • Minimum of 2 years of relevant experience with Embedded Systems and AI/ML

    • Job Location: Bengaluru, India
    Job Type: Full-time
    Experience: 2+ years

    The Successful Applicant

    Your Responsibilities

  • Develop, optimize, and deploy embedded machine learning models.
  • Ensure performance, memory optimization, and energy efficiency of AI solutions.
  • Integrate ML algorithms with embedded controllers and edge computing platforms.
  • Collaborate closely with automation and software engineers to translate AI solutions into production-grade embedded systems.



    • Our Requirements

  • Degree in Computer Science, Electrical Engineering, or related field.
  • Strong proficiency in Python, C/C++, and embedded programming.
  • Experience with embedded ML frameworks (, TensorFlow Lite, ONNX, Edge Impulse).
  • Understanding of real-time embedded systems and microcontroller architectures.
  • Minimum of 2 years of relevant experience with Embedded Systems and AI/ML

    • Job Location: Bengaluru, India
    Job Type: Full-time
    Experience: 2+ years

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