Executive-KDNI
Overview
KPMG Indiakpmg.comPosted 3 weeks ago
Bengaluru, Karnataka, INकार्यालयातून
Quick apply- वरिष्ठतेची पातळी
- Executive
- नोकरीचा प्रकार
- पूर्णवेळ
- विशेषीकरण
- Data & AI
भूमिकेबद्दल
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
