Executive-KDNI

KPMG Delivery Network India

Bengaluru, KA, India5d ago

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Key details

Location
Bengaluru, KA, India
Work style
Onsite
Level
Mid level
Job type
Full-time
Experience
2–5 yrs
Function
other
Focus area
other
Posted
5d ago

Skills

agentic aiai/mlalgorithmsawsazurecloud computingdata sciencegcpgenerative aillmllmopsmachine learningmodel deploymentmodel fine-tuningnatural language processingnlpprompt engineeringpythonragsqlworkflow automation

About the role

Job Title: AI Engineer- Associate Consultant

Location: Bengaluru/ Pune/ Gurgaon
Experience: 2.5+ years
Employment Type: Full-time


About the Role

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.


Educational Qualifications

  • 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.

Must-Have Skills and Experience

Generative AI(Gen AI)

  • Mandatory: Exposure to Generative AI and Retriever-Augmented Generation (RAG) use cases
  • Mandatory: Prompt Engineering for LLM-based solutions

Cloud AI Development

  • Hands-on AI/ML experience on any one of the major cloud platforms: Azure, AWS, or GCP

Core 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

Good-to-Have Skills

Agentic AI & Automation

  • 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)

What We Offer

  • 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

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