Key Responsibilities

Lead AI Automation Projects
Drive end-to-end implementation of AI-based automation workflows for data extraction, cleansing, and enrichment.
Translate business requirements into scalable AI/ML and automation solutions.
GenAI & LLM Development
Build, fine-tune, and deploy Generative AI and LLM models (OpenAI, LLaMA, Mistral, DeepSeek, etc.) for domain-specific use cases.
Implement prompt engineering, RAG (Retrieval-Augmented Generation), and custom model training for enhanced performance.
Automation & Workflow Design
Architect and maintain automation pipelines for structured and unstructured data extraction (from text, documents, PDFs, websites, APIs).
Integrate RPA tools, APIs, and AI-driven agents for intelligent workflow orchestration.
Data Management
Design efficient workflows for data ingestion, validation, transformation, and quality control.
Collaborate with data engineering teams to ensure high-quality, clean datasets for downstream AI/analytics.
Leadership & Collaboration
Provide technical leadership and mentor junior engineers in AI/automation best practices.
Collaborate with prod
uct, business, and engineering teams to identify opportunities for AI-driven efficiency.

Requirements

We are seeking a highly skilled AI Automation Lead with hands-on expertise in Generative AI (GenAI), Large Language Models

(LLMs), DeepSeek, and intelligent automation workflows. The ideal candidate will lead the design, development, and

deployment of AI-driven automation pipelines for large-scale data

extraction, processing, and enrichment. This role requires both technical expertise and leadership

skills, as you will be working closely with data engineers, analysts, and

business stakeholders to deliver scalable AI-powered automation solutions.

AI ML Engineer

Job Description & Responsibilities