Machine Learning Engineer

ConGobal, the go-to expert for multimodal industrial terminal operations, is seeking to hire a Machine Learning Engineer. With a history of over fifty years in the intermodal industry, ConGlobal has continually adapted to meet customer needs. Our passion for innovation drives us to develop products that enhance operations, unlock new markets, and disrupt the status quo. We operate across the U.S., Mexico, and Costa Rica, with the largest depot terminal network in North America, specializing in industrial operations insights and technology.

We are looking for 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 primary objective of this role is to collaborate with the engineering team to plan and develop solutions based on client requirements through expertise in machine learning and computer vision. This position involves engaging in the full machine learning development cycle from data gathering to deployment and maintenance.

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 incorporating data ingestion, preprocessing, model inference, and visualization using NVIDIA's hardware and software stack.
• Proficient in programming languages (Python and C++) for developing applications on NVIDIA platforms.
• Collaborate closely 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 conversational AI models, with strong analytical and problem-solving skills to resolve complex technical issues.
• Excellent communication and collaboration skills for effective teamwork in a cross-functional environment, with a self-motivated attitude and eagerness to learn.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
• Strong experience and knowledge of NVIDIA TAO, DeepStream, and RIVA, including familiarity with their architectures, APIs, and tools.
• Demonstrated experience in designing and developing real-time video analytics solutions 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 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 technical challenges. Excellent communication and collaboration skills are essential.

If you are self-motivated and passionate about the latest advancements in AI, machine learning, and NVIDIA technologies, we invite you to apply and join our innovative team at ConGobal.