Data Scientist II
Core
Build and productionize enterprise-grade AI and Generative AI solutions, including fine-tuning foundation models and creating RAG solutions.
Role type
Senior IC machine-learning engineer (GenAI/MLOps)
Builds
Scalable AI/ML applications, APIs, reusable engineering components, and end-to-end ML pipelines
Domain
Financial services / Payments / Generative AI
Deliverable
production ML models
Required skills
Python, SQL, PyTorch, Hugging Face, Databricks, PySpark, AWS, FastAPI, Docker, Kubernetes, CI/CD, LoRA, QLoRA, PEFT
Preferred skills
LangChain, LangGraph, enterprise GenAI, financial services domain, production-grade RAG, agentic AI systems
Technologies
Databricks, MLflow, Unity Catalog, Vector Search, AWS, PySpark, FastAPI, Flask, Docker, Kubernetes
Responsibilities
Design and maintain scalable AI/ML applications and APIs; Fine-tune and evaluate foundation models; Build RAG solutions and vector-search applications; Create end-to-end ML pipelines; Implement CI/CD, observability, and model monitoring; Partner with cross-functional teams to deliver responsible AI solutions
Seniority
Mid-level, hands-on IC
