AI ML Engineer

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. Prior experience in SaaS or platform environments. Exposure to MLOps, scalable LLM deployment, and API-first architectures. Understanding of enterprise compliance & risk frameworks. Experience leading AI teams