Klodev
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201 to 500 Employees · Coimbatore, India
What employees say
+ Just a location advantage who works in coimbatore
− poor management, no transparency. Not recommend to join
More reviews on the company profile.
Job description
Overview
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.
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
- 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
- Architect and maintain automation pipelines for structured and unstructured data extraction
- Integrate RPA tools, APIs, and AI-driven agents for intelligent workflow orchestration
- 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
- Provide technical leadership and mentor junior engineers in AI/automation best practices
- Collaborate with product, business, and engineering teams to identify opportunities for AI-driven efficiency
Qualifications
- Highly skilled AI Automation Lead with hands-on expertise in Generative AI (GenAI), Large Language Models(LLMs), DeepSeek, and intelligent automation workflows
- Leading design, development, and deployment of AI-driven automation pipelines
- 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
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