Executive-KDNI
Bengaluru · Senior
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HIGH
KPMG India is actively reviewing profiles and moving candidates through the pipeline right now.
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Job description
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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