Responsibilities:
Develop Machine Learning Models: Design and implement machine learning algorithms and models to solve business problems using C# and .NET-based technologies.
Data Preprocessing and Feature Engineering: Clean, preprocess, and structure data for machine learning tasks.
Model Training & Evaluation: Train models using .NET-based ML libraries and evaluate their performance using appropriate metrics.
Integration into .NET Applications: Seamlessly integrate trained machine learning models into existing .NET-based applications and services.
Model Optimization: Optimize machine learning models for performance and scalability, ensuring they work efficiently within production environments.
Collaboration: Work closely with data engineers, software developers, and other teams to ensure smooth model deployment and maintenance.
Stay Current: Keep up-to-date with the latest trends and best practices in machine learning and .NET development.
Required Skills & Qualifications:
Proven experience in software development with .NET (preferably C#) and knowledge of object-oriented programming.
Strong experience in machine learning algorithms, statistical analysis, and data manipulation.
Hands-on experience with ML.NET, the Microsoft machine learning framework for .NET, or other .NET-based machine learning libraries (e.g., TensorFlow.NET, SCEcorp).
Equal Opportunity Employer
We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.