Embedded AI/ML Engineer in Bangalore, भारत

Embedded AIML EngineerExperience : 4+ yearsLocation : BangaloreWe are seeking an experienced AI/ML Engineer with a strong academic and research foundation to contribute to the design, development, and implementation of advanced machine learning and deep learning https://jobeax.com/link/5WM6jVJPxXxkaX5M role requires expertise in state-of-the-art architectures, model optimization, and problem-solving applied to real-world https://jobeax.com/link/RjTj2ljBlYxmsyeh :Mandatory :- M. Tech in AI/ML with background in Electronics & Communication (EC) or Computer Science (CS).- Experience : 4+ years total, with at least 3+ years relevant in AI/ML https://jobeax.com/link/qey3vvKXmINJivs0 Skillset (Must-Have) :- Expertise in Deep Learning architectures : CNN, RNN, GNN, Transformers.- Strong programming skills in Python.- Experience with at least one major AI/ML framework (PyTorch / TensorFlow).- Track record in Computer Vision, Time-Series Analysis, Video Analysis.- Familiarity with Unsupervised & Semi-supervised learning https://jobeax.com/link/o1HYNivqBIjVycgn to Have :- Image Processing, NLP, Edge/Embedded AI https://jobeax.com/link/4RiFPMjI5xFXNDUH & Responsibilities :- Design and develop cutting-edge AI/ML models for vision, time-series, and multimodal data.- Research and prototype advanced algorithms using state-of-the-art methods in deep learning.- Optimize models for performance and scalability across platforms.- Collaborate with cross-functional teams on real-world product and research applications.- Stay ahead of AI/ML trends and apply them creatively to business challenges.- Must be good at AI-ML concepts.- Must be able to perform model training, inference, and evaluation of different AI models (both supervised and unsupervised).- Different model optimization and compression methods must be known.- Embedded-AI frameworks like TensorFlow, TFLite, TFLM, microTVM, CMSIS-NN, CMSIS-DSP.- Experience of using IDEs like : Keil MDK, IAR Embedded Workbench, VS Code, Eclipse, and toolchains from ST, NXP, Renesas, TI, Infineon etc.- Strong understanding of MCU and DSP architectures.- Knowledge of ARM Cortex-M/A processors and embedded memory architectures.- Experience with : FreeRTOS and Zephyr is an added advantage.- Experience in porting and deploying AI models on resource-constrained devices such as MCUs, DSPs, and edge processors.- Performance profiling and optimization of Latency, Throughput, Memory footprint, and Power consumption.- Strong proficiency in Python and C / C++ languages.- Experience with software debugging and code optimization techniques.- Familiarity with Git/GitHub/GitLab and build systems like CMake, Makefiles.- Strong verbal and written communication skills. (ref:hirist.tech)