Machine Learning Engineer (AI Lab)

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Requirements:

• 1+ years of total work experience or a Ph.D., MSc in Computer Science/Electrical Engineering.
• Understanding of mathematical optimization and implementation of machine learning and generative AI architectures.
• Strong math and research experience in computer vision, image/video processing, natural language processing, generative AI.
• Extensive experience in deep learning frameworks such as Pytorch (preferred), Tensorflow, Onnx, or TensorRT.
• Hands-on experience in image/video generation, face recognition/detection, super resolution, or music generation.
• Experience with architectures like CNNs, Latent Diffusion Models, GANs, Transformers.
• Proficient in implementing efficient algorithms for CPU and GPU.
• Experience in Python and OpenCV.
• Proficiency in English.

Responsibilities:

• Research computer vision and machine learning technologies for prototyping and deployment.
• Enhance model performance, latency, size, accuracy, and efficiency.
• Design, develop, and test cutting-edge ML/AI pipelines for AI-powered applications.
• Write clean, readable, and documented code.
• Contribute to technical discussions and share knowledge with colleagues.
• Work closely with Product teams to understand AI needs and integrate them into applications.
• Stay updated with the latest advancements in machine learning technologies.