Job Description

Join to apply for the Machine Learning Engineer role at ConGlobal . Get AI-powered advice on this job and more exclusive features. Overview ConGlobal, the go-to expert for multimodal, industrial terminal operations, is seeking to hire a Machine Learning Engineer. ConGlobal has been firmly planted in the intermodal industry for more than half a century. From the time Malcolm McLean brought the shipping container to the world, we’ve kept our finger on the pulse of the industry and the needs of our customers. The result is an ever-growing list of services and technology to meet evolving needs. We have a passion for innovation and continue to lead in developing products that enhance our operations, unlock new markets, and disrupt the status quo. Our expertise spans multi-modal operations across the U.S., Mexico, and Costa Rica, and includes industrial operations insights and specialized technology, all aimed at unlocking value, increasing operational efficiency, and reducing costs. We are seeking a machine learning engineer well-versed in NVIDIA products, specifically TAO, DeepStream, and RIVA. This is an exciting opportunity to join our dynamic team and contribute to developing cutting-edge solutions leveraging NVIDIA's advanced technologies. The main objective of this role is to collaborate with the engineering team to plan, develop, and apply your knowledge of machine learning and computer vision to create solutions based on client requirements. This involves the full machine learning development cycle from data gathering to deployment and maintenance. As a specialist in TAO, DeepStream, and RIVA, your primary responsibility will be to design, develop, and deploy innovative solutions that harness NVIDIA's platforms for various applications. You will work closely with software engineers, data scientists, and product managers to create high-performance, scalable solutions that meet client needs. This position is hybrid, based in our Fort Worth, TX or Tampa, FL offices. It is not eligible for visa sponsorship. Responsibilities Collaborate with sales and business development teams to understand customer requirements, participate in pre-sales activities, and provide technical expertise during client engagements. Design and implement end-to-end solutions involving data ingestion, preprocessing, model inference, and visualization using NVIDIA's hardware and software stack. Proficiency in programming languages such as Python and C++ for developing applications on NVIDIA platforms. Work with software engineers and data scientists to integrate AI/ML models into DeepStream and RIVA pipelines, ensuring optimal performance and accuracy. Experience training and diagnosing computer vision and/or conversational AI models. Strong analytical and problem-solving skills to diagnose and resolve complex technical issues. Excellent communication and collaboration skills for effective teamwork. Self-motivated with a passion for learning and staying updated on AI, machine learning, and NVIDIA technologies. Qualifications Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field. In-depth knowledge of NVIDIA TAO, DeepStream, and RIVA, including their architectures, APIs, and tools. Proficiency in Python and C++ for application development on NVIDIA platforms. Experience designing and developing real-time video analytics solutions, preferably with DeepStream and RIVA. Solid understanding of computer vision, NLP, and deep learning, with practical experience in AI/ML model integration into video analytics pipelines. Experience deploying solutions on NVIDIA GPU hardware, such as Jetson or GPU clusters. Strong problem-solving skills and effective communication abilities. Self-motivated with a continuous learning mindset. Additional Details Seniority level: Entry level Employment type: Full-time Job function: Engineering and Information Technology Industries: Transportation, Logistics, Supply Chain, and Storage #J-18808-Ljbffr ConGlobal

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