Machine Learning Engineer
4 weeks ago
We are seeking a highly skilled Machine Learning Engineer to join our team at ITS Technologies & Logistics. As a Machine Learning Engineer, you will be responsible for designing, developing, and deploying innovative solutions that harness the power of NVIDIA's platforms for various applications.
Key Responsibilities
* Collaborate with cross-functional teams to create high-performance and scalable solutions that meet our clients' requirements.
* Design and implement end-to-end solutions that involve 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.
* Collaborate 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.
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, 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.
What We Offer
* Competitive salary range of $83,000 - $120,000 per year.
* Opportunity to work with a dynamic team and contribute to the development of cutting-edge solutions leveraging NVIDIA's advanced technologies.
* Collaborative and cross-functional work environment.
How to Apply
Interested candidates should submit their resume and cover letter to [insert contact information].
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