Artificial Intelligence Engineer

Role Overview: As a Senior AI Engineer at Mantra Softech, your main responsibility will be to optimize AI models for edge deployment using C++ development. You will be leading the development of performance-critical C++ applications and converting AI models from frameworks like PyTorch and TensorFlow into formats such as ONNX and TFLite. Your role will involve integrating these optimized models into edge devices to ensure fast, efficient, and reliable inference in resource-constrained environments. Key Responsibilities: - Write and optimize modern C++ (C++11/14/17/20) code for AI inference pipelines. - Leverage STL, smart pointers, templates, metaprogramming, and RAII principles for robust, efficient code. - Collaborate with data scientists to iterate on optimized architectures without compromising required accuracy. - Use profiling and debugging tools (GDB, Valgrind, perf, etc.) to identify and fix bottlenecks in performance-critical paths. - Analyze memory usage, latency, throughput, and concurrency to ensure optimal resource utilization. Qualifications Required: - Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field. - 5+ years of professional experience in C++ software development, with at least 3 years focusing on AI/ML projects or performance-critical systems. (Note: No additional details of the company were mentioned in the job description) Role Overview: As a Senior AI Engineer at Mantra Softech, your main responsibility will be to optimize AI models for edge deployment using C++ development. You will be leading the development of performance-critical C++ applications and converting AI models from frameworks like PyTorch and TensorFlow into formats such as ONNX and TFLite. Your role will involve integrating these optimized models into edge devices to ensure fast, efficient, and reliable inference in resource-constrained environments. Key Responsibilities: - Write and optimize modern C++ (C++11/14/17/20) code for AI inference pipelines. - Leverage STL, smart pointers, templates, metaprogramming, and RAII principles for robust, efficient code. - Collaborate with data scientists to iterate on optimized architectures without compromising required accuracy. - Use profiling and debugging tools (GDB, Valgrind, perf, etc.) to identify and fix bottlenecks in performance-critical paths. - Analyze memory usage, latency, throughput, and concurrency to ensure optimal resource utilization. Qualifications Required: - Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field. - 5+ years of professional experience in C++ software development, with at least 3 years focusing on AI/ML projects or performance-critical systems. (Note: No additional details of the company were mentioned in the job description)