Lead Machine Learning Engineer - Databricks & Gen AI

Inumellas Consultancy Services Pvt Ltd; United States; Remoto; USD 180.000 - 240.000; Tempo pieno

Descrizione del lavoro

Inumellas Consultancy Services Pvt Ltd is seeking a highly skilled Lead AI/ML Engineer with deep Databricks and GenAI expertise. You will lead end-to-end AI/ML model development, RAG architectures, and foundation model customization in a risk-model ecosystem.

Remote work is offered; you will collaborate with senior stakeholders, including the CTO, and drive technical leadership across data preparation, pre-training, fine-tuning, and deployment of GenAI solutions using Claude/Llama and Databricks.

Competenze

• 10+ years of experience in AI/ML.
• Hands-on Databricks experience and model development.
• Strong knowledge of data prep, pre-training, fine-tuning, and foundation models.
• Experience with Claude, Llama, and GenAI/LlM solutions.

Mansioni

• Lead the end-to-end AI/ML model development lifecycle.
• Work on data preparation, pre-training, fine-tuning, and foundation models.
• Design and implement GenAI/LLM solutions using Claude and Llama.
• Develop RAG architectures and domain-specific AI/LLM solutions.
• Leverage Databricks for AI/ML development and experimentation.
• Apply AI/ML solutions to risk-model ecosystems and collaborate with CTO.

Conoscenze

Databricks

Python

AI/ML lifecycle

LLMs

GenAI

RAG

Foundation models

Data preparation

Model pre-training

Fine-tuning

Claude

Llama

Risk-model ecosystems

Domain-specific AI

Descrizione del lavoro

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