Skip to content

Executive-KDNI

Overview
KPMG Indiakpmg.comPosted 3 weeks ago
Bengaluru, Karnataka, INOn-site
Quick apply
Seniority level
Executive
Employment type
Full time
Specialization
Data & AI

About the role

Experience: 2.5+ years Employment Type: Full-time

We are seeking a highly motivated and skilled AI Engineer to join our team and contribute to the development of intelligent, scalable, and secure AI solutions. The ideal candidate will have hands-on experience in machine learning, agentic AI systems, and cloud-based AI development, with a strong foundation in data science and a passion for innovation.

Requirements

  • Bachelor’s Degree in a technical or quantitative field from an accredited institution.
  • Master’s or PhD in Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields is preferred.
  • Mandatory: Exposure to Generative AI and Retriever-Augmented Generation (RAG) use cases
  • Mandatory: Prompt Engineering for LLM-based solutions
  • Experience in Autonomous Agent Development
  • Workflow Automation and orchestration of intelligent systems
  • Multi-agent orchestration for complex task execution
  • LLMOps and Model Deployment
  • Fine-tuning and Customization of Foundation Models
  • Development of Multi-modal AI Applications (e.g., combining text, image, audio)

Key skills

  • Machine Learning
  • Data Science
  • Statistics
  • Generative AI
  • LLM
  • Azure
  • AWS
  • Python
  • SQL
  • Natural Language Processing

Benefits & perks

  • Opportunity to work on cutting-edge AI technologies
  • Collaborative and inclusive work environment
  • Exposure to cross-industry AI applications (Finance, Healthcare, Automotive, Retail, Manufacturing)
  • Continuous learning and career growth

Cloud AI Development

  • Hands-on AI/ML experience on any one of the major cloud platforms: Azure, AWS, or GCPCore AI & Data Science
  • Strong mathematical foundation with the ability to interpret algorithms both intuitively and analytically
  • Excellent communication skills; ability to translate business problems into analytical solutions
  • Proficient in Python and SQL; experience with open-source libraries and enterprise-grade tools
  • Familiarity with Natural Language Processing (NLP) concepts