Data Scientist

Responsibilities:
Study and Transform Data Science Prototypes: As a Machine Learning Engineer, you’ll work with data to create models, perform statistical analysis, and transform data science prototypes into production-ready solutions.
Design Machine Learning Systems: You’ll design and develop machine learning and deep learning systems, ensuring they meet performance and scalability requirements.
Research and Implement ML Algorithms and Tools: Staying updated with the latest developments in the field, you’ll research and implement appropriate machine learning algorithms and tools. 
Develop Machine Learning Applications: According to project requirements, you’ll develop machine learning applications that contribute to advancements in artificial intelligence.

Develop and implement machine learning algorithms and models for video processing, including object detection, tracking, and recognition.
Collaborate with software engineers to integrate machine learning models into our video processing pipeline.

Work closely with product managers and stakeholders to understand requirements and develop solutions.
Optimize and improve existing machine learning models for performance and scalability.
Qualifications:
Strong programming skills in Python, C++, or Java.
Experience with machine learning frameworks such as TensorFlow, PyTorch, or OpenCV.
Solid understanding of computer vision algorithms and techniques.
Experience with video processing and analysis technologies.
 Strong programming skills (e.g., Python, R, SQL).
Knowledge of data science principles.
Familiarity with machine learning frameworks and libraries.
Ability to design and implement efficient self-learning applications