Lead Machine Learning Engineer - Databricks & Gen AI

Position: Lead AI/ML Engineer Databricks & GenAI

Domain: Risk-Model Ecosystem
Work Mode: Remote
Experience: 10+ Years

Role Overview

We are looking for a highly skilled and hands-on Lead AI/ML Engineer with deep expertise in Databricks, Generative AI, LLMs, and model development.

The role will focus on building a semantic evaluation capability for risk models using proprietary enterprise data and domain knowledge.

This is a model-layer focused role, requiring strong technical depth in AI/ML model development rather than AI platform or infrastructure engineering.

Key Responsibilities

• Lead the end-to-end AI/ML model development lifecycle
• Work extensively on data preparation, pre-training, fine-tuning, and foundation models
• Design and implement GenAI/LLM solutions using models such as Claude and Llama
• Develop RAG architectures and domain-specific LLM solutions
• Leverage Databricks for AI/ML development and experimentation
• Apply AI/ML solutions to complex risk-model ecosystems
• Work with proprietary enterprise data and domain-specific knowledge
• Provide deep technical leadership and collaborate with senior technical stakeholders, including the CTO

Must-Have Skills

• 10+ years of overall experience in AI/ML

• Strong, hands-on Databricks experience

• Proven experience across the AI/ML model lifecycle

• Strong knowledge of:

• Data preparation

• Model pre-training

• Fine-tuning

• Foundation models

• LLMs

• Generative AI

• RAG

• Domain-specific AI/LLM solutions

• Experience with models such as Claude, Llama, or similar foundation models

• Strong Python and machine learning expertise

• Ability to work at the model development layer, beyond off-the-shelf AI platforms

Preferred Qualifications

• Experience in financial services, consumer credit, or risk-modeling ecosystems
• Experience working with AWS + Databricks
• Exposure to enterprise-scale proprietary datasets and domain-specific AI applications