AI Tech Lead

Ukrainian Product πŸ‡ΊπŸ‡¦

We are seeking a highly skilled and visionary AI Tech Lead with expertise in Computer Vision and a strong focus on deploying AI solutions on edge devices. The ideal candidate will lead a team of engineers and researchers to design, develop, and implement cutting-edge AI-powered Computer Vision solutions that run efficiently on edge hardware. This role is pivotal in driving innovation and delivering scalable, real-time AI applications for our business and clients.

 

Key Responsibilities:

  • Lead the development and deployment of Computer Vision models tailored for edge devices, ensuring high performance and low latency.
  • Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to define requirements and deliver robust AI solutions.
  • Research and stay up-to-date with advancements in edge computing, computer vision algorithms, and AI frameworks to ensure our solutions remain cutting-edge.
  • Optimize machine learning models for inference on edge devices by leveraging techniques such as quantization, pruning, and knowledge distillation.
  • Mentor and guide a team of AI engineers and researchers, fostering a culture of innovation and technical excellence.
  • Participate in strategic decision-making to align AI initiatives with business goals and objectives.

     

    Experience:

  • Proven experience in computer vision, with a focus on deploying solutions on edge devices.
  • Hands-on experience with frameworks such as TensorFlow Lite, ONNX Runtime, PyTorch Mobile, or similar.
  • Strong understanding of edge AI hardware (e.g., NVIDIA Jetson, Google Coral, Qualcomm AI Engine) will be a plus
  • Expertise in optimizing deep learning models for low power and memory-constrained environments.

     

    Technical Skills:

  • Proficiency in programming languages like Python (C++ will be a plus)
  • Strong knowledge of Computer Vision techniques, including object detection, image segmentation, and feature extraction.
  • Familiarity with tools and technologies for model compression, such as TensorRT, OpenVINO, or CoreML.
  • Experience with real-time data processing and streaming on edge devices.

     

    Leadership Skills:

  • Demonstrated ability to lead and mentor technical teams.
  • Excellent problem-solving and decision-making skills.
  • Strong communication skills to convey complex technical concepts to non-technical stakeholders.

 

With us you will enjoy:

  • Working with a team of people to build the future of an industry.
  • Non-trivial challenges and various specter of interesting tasks.
  • A flexible, friendly and collaborative work environment.
  • Corporate culture based on common sense.
  • Opportunities to influence the creation of new products and their quality.
Published 20 March
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