Job title AI/ML Engineer

2 months ago


Ahmedabad, India Humani Media Full time

Job Description:


As a Machine Learning Expert specializing in Video Surveillance with .NET C#, need to be responsible for designing, developing, and implementing cutting-edge machine learning models and algorithms to enhance our video surveillance systems. 


 


Responsibilities:



- Collaborate with cross-functional teams to understand requirements and design machine learning solutions for video surveillance applications.

- Develop and implement machine learning models and algorithms using .NET C# for real-time video analysis, object detection, tracking, and anomaly detection.

- Integrate machine learning components into existing video surveillance systems, optimizing performance, and ensuring scalability.

- Conduct data preprocessing and feature engineering for large-scale video datasets.

- Stay updated on the latest advancements in machine learning, computer vision, and video analytics technologies.

- Work closely with software developers, hardware engineers to ensure seamless integration of machine learning capabilities.

- Evaluate and implement relevant frameworks, libraries, and tools for video analytics and machine learning in the .NET ecosystem.

- Collaborate with the product team to understand customer needs and contribute to the development of innovative video surveillance features.


 


Requirements:


- Proven experience as a Machine Learning Engineer with a focus on video surveillance using .NET C#.

- Strong programming skills in C# and .NET, with a solid understanding of software design principles.

- Experience with machine learning frameworks like TensorFlow, PyTorch, or ML.NET.

- Expertise in computer vision, object detection, tracking, and video analytics.

- Familiarity with video surveillance hardware, protocols, and industry standards.

- Knowledge of cloud computing platforms for deploying and managing video analytics solutions.

- Strong problem-solving skills and the ability to work collaboratively in a team environment.



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