AI ML Engineer

Job Description

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.

Requirements

AIML