Verified Job
IT / Software / Data Analyst
Artificial Intelligence Software Developer
IT / Software / Data Analyst
#532501
Remote / WFH
Job Description
About Us:
At Agrex, we revolutionize the way physical establishments utilize CCTV cameras. Our cutting-edge video analytics technology empowers businesses to unlock valuable insights and enhance their operations.
We are a leading provider of innovative solutions to various industries, including retail, logistics, banking, military, quick service restaurants, and more.
We are seeking an experienced AI Engineer with expertise in deploying video analytics pipelines, computer vision, and MLOps.
Responsibilities:
Design and implement advanced video analytics pipelines using machine learning, deep learning, and computer vision techniques to extract meaningful insights from CCTV camera footage.
Collaborate with cross-functional teams to integrate AI-driven video analytics components into our product offerings.
Develop, scale, and maintain video analytics models using MLOps best practices, such as model versioning, monitoring, and automated deployment.
Optimize video analytics algorithms for real-time processing on edge devices to deliver low-latency, high-performance solutions.
Conduct thorough testing, validation, and evaluation of AI models to ensure their accuracy, robustness, and reliability in real-world scenarios.
Requirements:
Bachelor's or Master's degree in computer science, engineering, or a related field, with a focus on AI, machine learning, or computer vision.
3+ years of experience in AI and video analytics, with a strong background in deploying video analytics pipelines.
Proficient in Python and relevant AI frameworks, such as Tensor Flow, Py Torch, or Open CV.
Experience with MLOps practices and tools, such as MLflow, Kubeflow, or Data Robot.
Familiarity with NVIDIA Jetson platforms or other edge computing devices is a plus.
What We Offer:
A competitive salary and benefits package.
Opportunities for professional growth and development, with access to training and education resources.
A dynamic and supportive work environment, where your contributions will have a direct impact on the success of our company.
The chance to work with cutting-edge technology in the rapidly evolving video analytics industry.
At Agrex, we revolutionize the way physical establishments utilize CCTV cameras. Our cutting-edge video analytics technology empowers businesses to unlock valuable insights and enhance their operations.
We are a leading provider of innovative solutions to various industries, including retail, logistics, banking, military, quick service restaurants, and more.
We are seeking an experienced AI Engineer with expertise in deploying video analytics pipelines, computer vision, and MLOps.
Responsibilities:
Design and implement advanced video analytics pipelines using machine learning, deep learning, and computer vision techniques to extract meaningful insights from CCTV camera footage.
Collaborate with cross-functional teams to integrate AI-driven video analytics components into our product offerings.
Develop, scale, and maintain video analytics models using MLOps best practices, such as model versioning, monitoring, and automated deployment.
Optimize video analytics algorithms for real-time processing on edge devices to deliver low-latency, high-performance solutions.
Conduct thorough testing, validation, and evaluation of AI models to ensure their accuracy, robustness, and reliability in real-world scenarios.
Requirements:
Bachelor's or Master's degree in computer science, engineering, or a related field, with a focus on AI, machine learning, or computer vision.
3+ years of experience in AI and video analytics, with a strong background in deploying video analytics pipelines.
Proficient in Python and relevant AI frameworks, such as Tensor Flow, Py Torch, or Open CV.
Experience with MLOps practices and tools, such as MLflow, Kubeflow, or Data Robot.
Familiarity with NVIDIA Jetson platforms or other edge computing devices is a plus.
What We Offer:
A competitive salary and benefits package.
Opportunities for professional growth and development, with access to training and education resources.
A dynamic and supportive work environment, where your contributions will have a direct impact on the success of our company.
The chance to work with cutting-edge technology in the rapidly evolving video analytics industry.
