Generative AI Consultant - RAG/Predictive Modeling

1. Role Definition : Generative AI Engineer responsible for executing and implementing AI-driven business solutions, focusing on hands-on development and technical implementation of innovative AI technologies. 2. Key Responsibilities : - AI Technology Implementation and Solution Development - Technical Execution of AI Projects - AI System Integration and Deployment - Cross-functional Collaboration in AI Implementation - Technical Contribution to Company's AI Capabilities 3. Skills and Competencies : - Technical Expertise (Generative AI, Machine Learning, NLP) - AI Implementation and Technical Problem-Solving - Technical Documentation and Knowledge Sharing - Adaptability and Innovation in AI Applications - Technical Communication of Complex AI Concepts Detailed Technical Expertise : - Deep understanding of Generative AI models (e.g., GPT, BERT, T5) - Proficiency in Retrieval-Augmented Generation (RAG) techniques - Advanced Natural Language Processing (NLP) skills - Experience with Agentic AI solutions and proof-of-concepts - Expertise in prompt engineering and optimization - Knowledge of AI model deployment and production environments - Familiarity with popular AI frameworks (e.g., TensorFlow, PyTorch) - Ability to keep up-to-date with rapidly evolving AI technologies - Understanding of AI ethics and responsible AI practices 4. Performance Indicators : - AI Solution Quality and Technical Implementation - AI Project Execution and Delivery - Technical Quality and Robustness of AI Solutions - Code Quality and Documentation Standards - Contribution to Company's AI Technical Capabilities 5. Growth Potential : - Ability to expand technical expertise in emerging AI technologies - Capacity to take on increasingly complex AI implementation projects - Potential to develop specialized technical skills in key AI domains 6. Project Experience : The ideal candidate should have implemented projects such as: - Large-scale language models fine-tuned for specific business domains - RAG systems integrated with enterprise knowledge bases - Conversational AI agents for customer service or internal operations - AI-driven content generation systems for marketing or documentation - Predictive models for business forecasting or decision support - AI-powered automation solutions for business processes - Proof-of-concepts demonstrating cutting-edge AI capabilities - AI model optimization for improved performance and reduced costs - Integration of AI solutions with existing enterprise systems - Technical development of AI-enhanced products or services (ref:hirist.tech)

Location: chennai, IN

Posted Date: 4/4/2025