We are looking for a Data Scientist II to help design, build, and deploy machine learning and generative AI solutions that power real world products and decisions. In this role, you’ll work on production AI systems, partner closely with engineering and product teams, and take ownership of meaningful data science initiatives from idea to deployment. This is a hands on, individual contributor role for someone who enjoys shipping models, working with modern AI tooling, and solving real business problems with data. Develop, evaluate, and deploy predictive and generative models for real production use cases Perform feature engineering and data preparation for modeling workflows Translate business and product questions into analytical solutions Build and maintain LLM powered features and services Develop retrieval augmented generation (RAG) pipelines using embeddings and vector databases Integrate LLMs with APIs and internal tools using structured function calling Finetune foundation models with parameter efficient approaches (e.g., LoRA) Evaluate model quality, detect hallucinations, and implement safety guardrails Use synthetic data to improve model performance, testing, and fairness Optimize inference performance and cost across different model providers Deploy and operate machine learning and GenAI models in production Build CI/CD pipelines for models and data workflows Monitor performance, data quality, and model drift Design versioning, rollback, and retraining strategies Partner with platform and infrastructure teams to ensure reliability and scalability Build low latency data pipelines and real time decisioning systems Work with streaming data and event driven architectures Support systems with strict uptime and response time requirements Contribute to feature stores used for both real time and batch inference