Machine Learning Engineer

$83,000 - $120,000/Yr

Conglobal Company - Tampa, FL

Full-time

Tampa, FL

About the position

ConGobal is seeking a Machine Learning Engineer to join their dynamic team, focusing on developing innovative solutions using NVIDIA's advanced technologies, specifically TAO, DeepStream, and RIVA. The role involves collaborating with cross-functional teams to design, develop, and deploy machine learning and computer vision solutions that meet client requirements, while being involved in the full machine learning development cycle from data gathering to deployment and maintenance.

Responsibilities

• Collaborate with the sales and business development teams to understand customer requirements 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.
• Develop applications on NVIDIA platforms using programming languages such as Python and C++.
• Integrate AI/ML models into DeepStream and RIVA pipelines, ensuring optimal performance and accuracy.
• Train and diagnose computer vision and/or conversational AI models.
• Resolve complex technical issues through strong analytical and problem-solving skills.
• Communicate effectively and collaborate within a cross-functional team environment.

Requirements

• 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 and 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, 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.

Nice-to-haves

• 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.