Machine Learning Engineer

ConGobal, 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 Malcom 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 ever-evolving needs. We have a passion for innovation and continue to lead out in developing products that enhance our operations, unlock new markets, and disrupt the status quo. Multi-modal expertise. Operations across the U.S., Mexico, and Costa Rica. The largest depot terminal network in North America. Industrial operations insights. Specialized technology. We bring these assets together to unlock value, increase operational efficiency, and drive down costs.

We are seeking a machine learning engineer who is well-versed in NVIDIA products, specifically in the areas of TAO, DeepStream and RIVA. This is an exciting opportunity to join our dynamic team and contribute to the development of cutting-edge solutions leveraging NVIDIA's advanced technologies.

The main objective of the machine learning engineer is work in collaboration with the engineering team to plan, develop, and apply your knowledge of machine learning and computer vision to help create solutions based on client requirements. This position requires you to be involved in the full machine learning development cycle from data gathering to deployment and maintenance.

As a machine learning engineer specializing in TAO, DeepStream and RIVA, your primary responsibility will be to design, develop, and deploy innovative solutions that harness the power of NVIDIA's platforms for various applications. You will collaborate closely with cross-functional teams, including software engineers, data scientists, and product managers, to create high-performance and scalable solutions that meet our clients' requirements.

1.  Collaborate with the sales and business development teams to understand customer requirements, participate in pre-sales activities, and provide technical expertise during client engagements.
   
2.  Design and implement end-to-end solutions that involve data ingestion, preprocessing, model inference, and visualization using NVIDIA's hardware and software stack.
3.  Proficiency in programming languages such as Python and C++ for developing applications on NVIDIA platforms.
4.  Collaborate with software engineers and data scientists to integrate AI/ML models into DeepStream and RIVA pipelines, ensuring optimal performance and      accuracy.
5.  Experience training and diagnosing computer vision and/or conversational AI models.
6.  Strong analytical and problem-solving skills, with the ability to diagnose and resolve complex technical issues.
7.  Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.
8.  Self-motivated and eager to learn, with a passion for staying up-to-date with the latest advancements in AI, machine learning, and NVIDIA technologies.

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
• Strong experience and in-depth knowledge of NVIDIA TAO, DeepStream and RIVA, including familiarity with their architectures, APIs, and tools.
• Proficiency in programming languages such as Python abd C++ for developing applications on NVIDIA platforms.
• Demonstrated experience in designing and developing real-time video analytics solutions, preferably using DeepStream and RIVA.
• Solid understanding of computer vision, NLP, and deep learning concepts, along with practical experience in integrating AI/ML models into video analytics pipelines.
• Experience with deploying and optimizing solutions on NVIDIA GPU-accelerated hardware, such as NVIDIA Jetson or NVIDIA GPU clusters.
• Strong analytical and problem-solving skills, with the ability to diagnose and resolve complex technical issues.
• Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.
• Self-motivated and eager to learn, with a passion for staying up-to-date with the latest advancements in AI, machine learning, and NVIDIA technologies.