Job
Core
Design, build, and optimize ML models and AI agents (LLMs, RAG, multi-step reasoning) to support business and product needs in financial services.
Role type
Senior Machine Learning Engineer (AI/LLM focus)
Builds
Scalable ML and AI solutions, AI agents, RAG systems
Domain
Fintech / Financial Services
Deliverable
production ML models | product features
Required skills
Python, TensorFlow, PyTorch, Scikit-learn, Keras, LLM-powered agents, RAG architectures, MCP, Databricks, SQL, data streaming (Kafka, Flink), MLOps, cloud platforms (AWS, Azure, GCP), containerization (Docker, Kubernetes), NLP, transformers, predictive analytics
Preferred skills
Fintech or financial services background
Technologies
Databricks, TensorFlow, PyTorch, Scikit-learn, Keras, Kafka, Flink, Docker, Kubernetes, AWS, Azure, GCP
Responsibilities
Design and optimize ML models; Develop and deploy AI agents using LLMs and MCP; Implement RAG systems and multi-step reasoning agents; Acquire, clean, and analyze data from multiple sources; Ensure data and model quality and compliance; Break down complex AI/ML projects into actionable tasks; Collaborate with cross-functional teams; Maintain documentation and project milestones; Uphold coding standards and code review processes
Seniority
Senior, hands-on IC
