Senior Machine Learning Engineer
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, production models
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, relational & NoSQL databases, Kafka, Flink, MLOps, AWS/Azure/GCP, Docker, Kubernetes, NLP, transformers, predictive analytics
Preferred skills
Fintech or financial services background
Technologies
Databricks, TensorFlow, PyTorch, Scikit-learn, Keras, Kafka, Flink, AWS, Azure, GCP, Docker, Kubernetes
Responsibilities
Design, build, and optimize ML models; Develop, test, 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, integrity, and compliance; Break down complex AI/ML projects into actionable tasks; Collaborate with cross-functional teams
Seniority
Senior, hands-on IC
