CBS Sports: Senior Software Engineer (Freelance)

Programmer is needed in New York, United States.

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Client: CBS Sports

Location: New York, NY

Contract: Temporary, Per diem, Freelance

Your Day-to-Day:

• Develop APIs to extract and transform sports data from SQL databases, producing customized data models for use in NLP systems
• Develop services that utilize NLP systems to generate sports-related narrative and ingest into existing services, data stores, and products
• Train data models with large volumes of sports data
• Develop high-performance and scalable architectures for processing large volumes of data

Key Projects:

• Architect and implement solutions toward product goals
• Turn structured and unstructured data into highly relevant content for local teams, players, and communities
• Use natural language processing to generate sports-related editorial content
• Develop a suite of APIs and stand-alone automated processes, utilizing existing backend systems, services, and databases
• Develop high-performing and scalable systems to process large sets of data

Qualifications:

What you bring to the team:

You Have -

• 5+ years of professional experience, with a broad range of skills and experience in application and API development with C# .NET Core and SQL
• Experience with implementing machine learning models and other data science techniques to analyze collected data
• Experience with designing, building, and executing statistical models, and analyzing structured and unstructured data sources
• Experience with designing and developing AI prompts using large language models, including GPT-3/GPT-4 and other solutions
• Experience with NLP methods and leveraging large language models
• Experience with performing data transformations and data modeling with large volumes of data
• Ability to work in a fast-paced agile environment

You might also have -

• Developed applications and services in AWS
• Knowledge and interest in sports, sports management, and statistics
• Excellent critical thinking skills to assess numbers, trends, and data