Role & responsibilities
Robust proficiency in C, C++, Python, and shell scripting.
Deep understanding of AI model inference flow from model compilation to runtime execution with embedded software stack.
Familiarity with any AI compiler(e.g., TVM, TensorRT, XLA, Glow, OpenVINO).
Familiarity with quantization and accuracy-performance tradeoffs.
Experience working on AI deployment stacks.
Experience debugging performance issues across compiler, runtime, and model levels.
Knowledge of ONNX, PyTorch, or TensorFlow inference export pipelines.
Hands-on experience running and profiling models on embedded boards or FPGA platforms.
Solid analytical skills to correlate performance data with model and runtime behavior.
📌 Ai Ml Engineer Hyderabad
🏢 Tata Consultancy Services
📍 Hyderabad
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