K

AI ML Engineer

icon building Company : Klodev
icon briefcase Job Type : Full Time

Number of Applicants

 : 

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Job Description - 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


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