AI Data Scientist
Core
Design and deliver advanced applied AI, machine learning, and generative AI solutions for complex fintech and payments use cases including fraud, risk, forecasting, and payment optimization.
Role type
Senior IC AI Data Scientist (Generative AI & ML)
Builds
Production-grade AI/ML pipelines, generative and agentic AI solutions, and reusable AI capabilities for financial services.
Domain
Fintech, Payments, Financial Services
Deliverable
production ML models
Required skills
Python, SQL, PyTorch, scikit-learn, XGBoost, Spark, LLM development, RAG pipelines, fine-tuning, agent orchestration, cloud platforms (Azure/AWS/Databricks/Snowflake), MLOps, data engineering, statistical modeling, anomaly detection, model validation
Preferred skills
Card payments/acquiring/issuing experience, LoRA/QLoRA/distillation, mentorship, vector/hybrid retrieval, MLflow, automated evaluation frameworks, LangGraph, LlamaIndex, OpenAI Agents SDK
Technologies
Azure, AWS, Databricks, Snowflake, PyTorch, scikit-learn, XGBoost, Spark, LangGraph, LlamaIndex, OpenAI Agents SDK, MLflow
Responsibilities
Design, develop, and deploy AI/ML solutions; own the end-to-end data science lifecycle; apply advanced analytics to payment use cases; partner with cross-functional teams; develop scalable AI/ML pipelines; create high-quality training and synthetic datasets; build generative and agentic AI solutions
Seniority
Senior, hands-on IC
