Applied AI/ML Lead
Core
Lead the design, development, and productionization of AI/ML and Agentic/GenAI solutions to address business priorities using LLMs and frameworks like LangChain.
Role type
Senior Applied AI/ML Lead (GenAI/Agentic AI)
Builds
Production AI/ML and GenAI/Agentic AI solutions, data lakes, and data processing workflows
Domain
Financial Services / Artificial Intelligence / Machine Learning
Deliverable
production ML models | product features
Required skills
Python, PySpark, Spark SQL, LLM orchestration, agentic AI libraries, GenAI models, TensorFlow, Keras, PyTorch, Scikit-learn, data manipulation, problem-solving
Preferred skills
AWS components, integrating AI/ML models into data pipelines, Git, CI/CD pipelines, financial services background
Technologies
LangChain, LangGraph, Databricks, OpenAI, TensorFlow, Keras, PyTorch, Scikit-learn, PySpark, Spark SQL, AWS
Responsibilities
Partner with cross-functional teams to define business needs and create data-driven AI/ML solutions; Design and develop AI/ML and GenAI/Agentic AI solutions; Apply supervised, unsuperised, and semi-supervised machine learning techniques; Code in Python using deep learning libraries; Collaborate to productionize end-to-end AI/ML solutions; Coach and mentor AI/ML team members; Engage stakeholders to understand business requirements
Seniority
Senior, hands-on IC with mentorship
