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_Engineer: Automation – II

Infobahn Softworld Inc.

This is a Full-time position in Fort Collins, CO posted July 26, 2021.

Description Original Machine Learning Engineer This position would be virtual, but based on the west coast U.S. or willing to conform to west coast work hours. This would be a 100 (full-time) position. Inteon is an artificial intelligence-based programming platform that brings code to market in record time across a broad spectrum of hardware configurations CPUs, GPUs, TPUs, FPGAs, ASICs, and more exciting technologies. We use patented machine learning techniques to perform exhaustive, off-line analysis that calculates optimal instruction scheduling sequences for common hardware platforms. Simply put, by conquering complex time-intensive coding, Inteon transforms any engineer into a master coder. With us, you’ll be surrounded by some of the best Engineers in the industry, building some of the fastest models in the world. Work with Deep Learning technologies that will ultimately lead to work with machine learning algorithms, supervised and unsupervised learning, deep learning, reinforcement learning, Bayesian analysis and others to solve applied problems in various disciplines such as Data Analytics, Computer Vision, Robotics, etc. You will also interact with users to define requirements for breakthrough productsolutions. In either research environments or specific product environments, you’ll utilize current programming methodologies to translate machine learning models and data processing methods into software. Have the chance to complete programming, testing, debugging, documentation andor deployment of the solutionproducts, and engineer Big Data computing frameworks, data modeling and other relevant software tools. Education Yrs of experience min Master of Science degree is preferred Bachelor of Science Degree in Computer Science, Electrical Engineering, or related field minimum. 7+ years of professional work experience optimizing DLML models for commercial deployment 7+ years of bench-marking, testing, and debugging models for most efficient performance on x86 CPU and Nvidia GPU architectures Qualifications Hands-on experience using scripting languages such as Python, CC++ Familiarity with hardware architectures beyond CPU and GPU (e.g., TPU, VPU, FPGA, etc.) Experience with most popular Deep Learning frameworks (e.g., PyTorch, TensorFlow, etc.) and Machine Learning Techniques Proven track record of successful implementation and deployment of DLML models at scale Familiarity with general test automation for complex systems in publicprivate cloud Track record of successful remote collaboration and technical project leadership Resume must depict the required exp not just listed in summary or under skills.