AI and Machine Learning Expert

1 day ago

Rajahmundry, Andhra Pradesh, India beBeeArtificial Full time US$ 90,000 - US$ 1,20,000
Job Opportunity: Edge AI/ML Engineer

We are seeking a highly skilled Edge AI/ML Engineer to join our team. This role will involve designing and developing cutting-edge artificial intelligence and machine learning solutions for edge devices.

About the Role:

In this position, you will be responsible for configuring and managing Linux environments, integrating ML models into embedded systems, and collaborating with data science teams to enable deployment on resource-constrained hardware.

You will also work with C, C++, and Python to build and optimize drivers, OS-level services, and low-level libraries for ML acceleration. Additionally, you will develop, test, and optimize Dockerized applications for AI/ML workloads, ensuring portability, efficiency, and compliance with partner satellite company requirements.

Responsibilities:

  • Configure and manage Linux environments, including kernel modules, system tuning, cross-compilation, and deployment scripts.
  • Integrate ML models into embedded systems and collaborate with Data Science teams to enable deployment on resource-constrained hardware.
  • Work with C, C++, and Python to build and optimize drivers, OS-level services, and low-level libraries for ML acceleration.
  • Develop, test, and optimize Dockerized applications for AI/ML workloads, ensuring portability, efficiency, and compliance with partner satellite company requirements.
  • Manage and maintain Edge AI development kits (NVIDIA Jetson, Xilinx platforms, etc.), ensuring smooth workflows for in-orbit simulation and testing.
  • Leverage CUDA, cuDNN, TensorRT (NVIDIA) and Vitis AI / OpenCL (Xilinx) to accelerate workloads.
  • Interface with satellite payload hardware and ground systems; debug integration issues across hardware, OS, and application layers.

Requirements:

  • Bachelor's/Master's degree in Computer Engineering, Electrical Engineering, Computer Science, or equivalent.
  • 3–8 years of hands-on experience in embedded software development.
  • Proficiency in C, C++, and Python.
  • Deep knowledge of Linux (system internals, drivers, kernel tuning).
  • Proven experience with Docker and containerized workflows.
  • Experience with NVIDIA Jetson, CUDA, TensorRT, and Xilinx Vitis AI / OpenCL.
  • Familiarity with edge AI/ML workloads, model deployment, and performance optimization.
  • Strong debugging, problem-solving, and communication skills.
  • Ability to work independently in a remote-first environment, coordinating across time zones.

We Offer:

  • A competitive compensation package.
  • Ongoing training and professional development opportunities.
  • A collaborative and dynamic work environment.

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