Senior Generative AI Engineer - FanDuel, Hybrid

FanDuel Group is a world-class team of brands and products all built with one goal in mind — to give fans new and innovative ways to interact with their favorite games, sports, teams, and leagues. That’s no easy task, which is why we’re so dedicated to building a winning team. And make no mistake, we are here to win, but we believe in winning right

Our roster has an opening with your name on it.

Roles & Responsibilities

Generative AI Model Development:

• Collaborate in developing AI applications, including AI-powered chatbots, retrieval-augmented generation (RAG) applications, agentic AI applications, or other generative AI tools.
• Understand and implement fine-tuning and distillation techniques for large language models.
• Prepare data sets for Generative AI model fine-tuning.
• Automate machine learning and AI processes.
• Evaluate AI applications with AI evaluation tools.
• Manage version control and tracking of AI models, including comprehensive logging and monitoring of performance metrics.

Performance Optimization:

• Evaluate model performance to pinpoint areas needing enhancement, focusing on latency, throughput, and accuracy.
• Employ strategies such as model pruning, quantization, and knowledge distillation to streamline model size and boost inference speed.
• Monitor and address potential issues in the production environment, efficiently resolving any bottlenecks.
• Continuously measure AI application responses using key metrics to maintain high output quality.

Monitoring and Alerting:

• Develop comprehensive monitoring systems to track model performance, data quality, and system health.
• Set up alerts and notifications to proactively identify and address potential issues in the production environments.

• Promptly address any harmful, unfair, or inappropriate outputs that may occur during real-world application.

Collaboration and Communication:

• Communicate technical details of AI operations to stakeholders, including non-technical audiences. 
• Stay updated on the latest advancements in generative AI technologies and best practices. 
• Work closely with data scientists and ML engineers to translate research prototypes into production-ready models.

Prompt Development:

• Design and develop prompts for various applications, including text generation, translation, question answering, and creative writing.
• Collaborate with product teams, data scientists, and engineers to understand user needs and translate them into effective prompts.
• Analyze and optimize prompts based on performance metrics and user feedback to ensure high-quality outputs.
• Conduct experiments and research to test new modes and prompting techniques.

Required Skills and Experience:

• Strong programming skills in Python and PyTorch experience.
• Experience with integrating AI models for text generation, computer vision, and image generation into production environments.
• Experience in designing and implementing scalable and efficient AI systems.
• Experience building datasets for AI model training and evaluation.
• Deep understanding of machine learning and deep learning concepts, including deep learning architectures like transformers.
• Experience with MLOps tools and frameworks such as MLflow and Kubeflow.
• Experience with cloud computing platforms such as AWS, GCP, or Azure.
• Excellent communication and collaboration skills to work with cross-functional teams.

What you can expect:

• 25 days of annual leave
• ShareSave scheme and „Flexible Benefits” of your choice
• Private health insurance (includes dental insurance and health assessments)
• Excellent development opportunities including thousands of courses online through ‘Udemy'
• Working from home options;

We thank all applicants for their interest, however only the suitable candidates will be contacted for an interview.

By submitting your application online, you agree that: your details will be used to progress your application for employment.

If your application is successful, your details will be used to administer your personnel record. If your application is unsuccessful, we will retain your details for a period no longer than two years, in order to consider you for prospective roles within our company.