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Tier-1 brand and Bangalore metro increase competition, while niche ML-compiler focus reduces applicant pool.
Specialized ML compiler and hardware-optimized quantization skills limit cross-industry transferability.
Explicit 4+ years plus specialist ML-compiler, quantization, and C++/PyTorch skills enforce strict filtering.
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Lead design, development, and implementation of AI/ML solutions across multiple domains with focus on performance and accuracy.
Collaborate with cross-functional teams for integrating AI/ML components and manage project timelines and resources.
Mentor junior engineers and advance quantization and optimization techniques for AI/ML models on Qualcomm hardware.
Bachelor's degree in Engineering, Computer Science or related field with 4+ years software engineering experience OR Master's degree with 3+ years experience.
Experience with software architecture and programming languages including C++ and Python.
Familiarity with AI/ML frameworks such as PyTorch, TensorFlow, and ONNX.
Work Experience Required: 4+ years of software engineering or related work experience.
Experienced in deep learning frameworks and state-of-the-art model architectures including CV, NLP, LLM, GenAI, classification, and object detection.
Knowledgeable in quantization (8-bit, 4-bit), calibration algorithms, machine learning compiler techniques, and graph optimizations.
Proficient in software design patterns and able to lead cross-functional teams and mentor junior engineers effectively.