Machine learning expert in Dot Net C Sharp

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.

Job Type: Freelance

Schedule:
 Fixed shift
 Monday to Friday
 Night shift
 US shift

Experience:
 .NET: 1 year (Required)

Work Location: In person

Speak with the employer
+91 hidden_mobile,