AI/ML Data Scientist with .NET & Angular experience

An AI/ML Data Scientist with .NET & Angular experience is a specialized role combining expertise in data science, machine learning, and full-stack web development. This individual is responsible for designing, developing, and deploying intelligent applications and features, leveraging both AI/ML capabilities and robust web frameworks.

Key Responsibilities:

Full-Stack Development with .NET & Angular :Develop and maintain scalable web applications using .NET Core for backend services and Angular for the frontend user interface.

API Design and Implementation: Design and implement robust RESTful APIs

AI/ML Model Development: Design, build, train, and deploy machine learning models and algorithms to solve complex business problems, including predictive analytics, natural language processing, and computer vision.

Data Management and Analysis: Collect, clean, preprocess, and analyze large datasets to extract insights, identify patterns, and prepare data for model training.

Required Skills and Qualifications:

Expertise in .NET and Angular: Experience in building and maintaining applications using .NET Core and Angular with proficiency in C#, TypeScript, Python

Strong Foundation in Data Science and Machine Learning: Expertise in statistical analysis, machine learning algorithms, and deep learning frameworks (e.g., TensorFlow, PyTorch).

Database Knowledge: Familiarity with relational and/or NoSQL databases (e.g., SQL Server, MongoDB).

Cloud Platform Experience: Experience with cloud platforms, particularly Azure, for AI/ML and web application deployment.

Communication Skills : Excellent verbal and written communication skills to collaborate effectively and present findings to diverse audiences.