Senior Data Scientist, Artificial Intelligence R&D

What you'll do

• Design and execute AI experiments across the full model lifecycle from hypothesis to iteration.
• Develop and fine-tune large language models (LLMs) and multimodal AI systems for enterprise use cases.
• Lead data preparation workstreams, including dataset curation and labeling strategy for model training.
• Instrument AI systems for observability using experiment tracking frameworks like MLflow or Langfuse.
• Translate research findings into production-ready prototypes by defining technical requirements and integration paths.
• Evaluate emerging AI capabilities and tools to inform the team's technology strategy with structured assessments.

What we're looking for

• Advanced knowledge of modern machine learning techniques and hands-on implementation experience.
• Proficiency in Python for AI development, including use of frameworks like PyTorch and LangChain.
• Strong ability to design and execute precise experiments with rigorous evaluation methodologies.
• Experience evaluating model quality across dimensions such as accuracy, latency, cost, and scalability.
• Bachelor’s, Master’s, or PhD degree in a relevant technical field (Data Science, Computer Science, etc.).
• Familiarity with cloud platforms like AWS and Azure for scalable experimentation environments.
• Demonstrated experience designing evaluation frameworks and benchmarks for AI systems.