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