AIML, Python with Linux

Job description

**Job Requirements\\*** - Strong 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. - Strong analytical skills to correlate performance data with model and runtime behavior. **Key Responsibilities\\*** - In this role candidate will be responsible for Developing systems and APIs that are highly scalable, secure and resilient. - Working with engineering teams to provide continuous architecture and design mentorship/leadership and be a Source of support that ensure successful product delivery and operational excellence in production. Actively participating in product release cycle, daily standup as well as helping team with tactical activities like Code review, design optimization etc. - Creating and presenting a technical solution (e.g.POC) for new business requirements, using technology and frame works that are scalable, long-term viable, and faster time to market - Creating a culture of innovation, in an environment that requires high levels of scalability, security and reliability - o Establishing relationships with key architects across technology organizations and collaborate on promoting Architectural standard methodologies.