Data Science Engineer - Freelance

This role may sit anywhere as long as the individual is willing to work North America hours.

Realize the unimagined

Fantasy is a digital product and innovation company. We realize the unimagined for the world’s most ambitious organizations. Founded in 1999, our global reputation is based on our teams’ unique ability to think beyond the ordinary and launch ground-breaking products and services. We believe that our phenomenal team is the core reason for our success, our growth, and our thriving culture.

The Role

As a Data Science Engineer, your primary responsibility will be to build out exciting new AI-driven tools that our clients will love and use every day. Collaborating with the best design and research teams in the world, and world class client teams, your work will not only drive the future of Fantasy, but influence the future of the industry. Your work will frequently be on the bleeding edge of AI, incorporating the latest innovations in LLMs, machine learning, and data science.

Responsibilities

• Prototype and build cutting edge, proof-of-concept AI products.
• Collaborate with product managers, designers, researchers, and executives to create successful and compelling solutions.
• Work with a large and globally distributed team.
• Solve challenging cutting-edge problems, using state-of-the-art techniques, services, and best practices.
• Evaluate and integrate new machine learning frameworks and tools, ensuring that Fantasy is always at the forefront of ML, LLMs, and Generative AI.
• Actively contribute to continuous improvement of AI at Fantasy, through educational presentations and thought partnership with internal teams.

Experience / Key Personal Qualities

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field.
• Fluent in Python, C#, and .NET framework.
• 6+ years of experience designing and building data platforms and services with emphasis on real-time extraction, validation, delivery, and API request protocols.
• Demonstrable expertise with LLMs, including retrieval augmented generation and fine-tuning.
• Experience with NLP and LLM operations and programs (e.g. text chunking, indexing, LangChain, vector databases, JSON or XML data structures).
• Experience with Azure, Amazon Web Services, or Google Cloud Platforms.
• Experience with version control, especially Git.
• Experience with ML/AI frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Strong communication skills to convey complex concepts to non-technical stakeholders.
• Ability to work collaboratively in a cross-functional team environment.

Nice-to-Have Qualities

• Front end experience a plus.
• Experience in JavaScript, C++, and Java a plus.
• Experience designing and building machine learning platforms and services a plus.
• Data harvesting / scraping experience a plus.
• Experience in design-related fields or understanding of design processes is a plus.

Fantasy EOE

Fantasy is an Equal Opportunity Employer. Since 1999, diversity has been vital to our success and ability to create products and services used and loved by millions of people all over the world. We are committed to continually fostering a diverse, equitable, and inclusive workplace.