About Us:

Agrex.ai is a leading video analytics company that uses cutting-edge technology to turn CCTV cameras into powerful tools for physical establishments. Our solutions cater to a wide range of industries, including retail, logistics, banking, military, quick service restaurants, and other brick-and-mortar businesses. We are looking for a skilled AI Engineer with experience in deploying video analytics pipelines, expertise in computer vision, and knowledge of MLOps. Experience with NVIDIA Platforms is a plus.

Responsibilities:

1. Develop and implement advanced video analytics pipelines using computer vision, machine learning, and deep learning techniques to extract meaningful insights from CCTV camera footage.
2. Collaborate with cross-functional teams, including product management, frontend and backend development, and data engineering, to integrate AI-driven video analytics components into our product offerings.
3. Deploy, scale, and maintain video analytics models using MLOps best practices, such as model versioning, monitoring, and automated deployment.
4. Optimize video analytics algorithms for real-time processing on edge devices, such as NVIDIA Jetson platforms, to deliver low-latency, high-performance solutions.
5. Continuously research and stay up-to-date with the latest advancements in computer vision, AI, and video analytics technologies to identify new opportunities for product improvement and innovation.
6. Conduct thorough testing, validation, and evaluation of AI models to ensure their accuracy, robustness, and reliability in real-world scenarios.
7. Participate in code and design reviews, adhering to established coding standards and guidelines.
8. Assist in the development and maintenance of technical documentation for AI-driven video analytics solutions and related components.

Requirements:

1. Bachelor's or Master's degree in computer science, engineering, or a related field, with a focus on AI, machine learning, or computer vision.
2. 3+ years of experience in AI and video analytics, with a strong background in deploying video analytics pipelines.
3. Proficient in Python and relevant AI frameworks, such as TensorFlow, PyTorch, or OpenCV.
4. Experience with MLOps practices and tools, such as MLflow, Kubeflow, or DataRobot.
5. Familiarity with NVIDIA Jetson platforms or other edge computing devices is a plus.
6. Strong problem-solving skills and the ability to work both independently and collaboratively in a team environment.
7. Excellent communication skills, with the ability to effectively communicate complex technical concepts to non-technical stakeholders.

What We Offer:

1. Competitive salary and benefits package, paid time off.
2. Opportunities for professional growth and development, with access to training and education resources.
3. A dynamic and supportive work environment, where your contributions will have a direct impact on the success of our company.
4. The chance to work with cutting-edge technology in the rapidly evolving video analytics industry.

If you are a talented AI Engineer with experience in deploying video analytics pipelines, expertise in computer vision, and knowledge of MLOps, we encourage you to apply for our AI Engineer position. Join our team at Agrex.ai and help us build innovative and scalable video analytics solutions.