About this role
Role Summary:
• Work closely with technical marketing, product, and customer support teams in understanding the benchmark data requirements. Explore various bench marking methods , tools used in vision,LLM/VLM models and adopt the same to evaluate Kinara products • Writing and optimizing scripts for deep learning model deployment and benchmarking. Preparing detailed benchmarking and analysis reports for engineering and marketing stakeholders.
Job Responsibility:
• Proficiency in Python (for AI workload scripting/optimization), C or C++ (for low-level performance work). • Familiarity with AI accelerators, LLM frameworks, and inference servers. • Measuring and reporting on latency, throughput, accuracy, and power consumption of AI workloads. • Familiarity with MLPerf and MLFlow bench marking suites for computer vision models • Familiarity with various LLM bench mark methods like MMLU, HumanEval, GSM8K, ARC Challenge, GPQA..etc • Working knowledge of Linux environments and device driver internals is often preferred. • Familiarity with CI/CD tools, version control (GitHub), and automation frameworks.
Job Qualification:
• BTech in ECE/CS 4+ years of experience, Machine Learning, or a related field. • Exposure to Neural Networks, AI/ML/DL models, training, and frameworks like TensorFlow, Caffe, and PyTorch. • Experience in developing AI workload flows in C++ and Python • Experience in performance evaluation of hardware and software systems.
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