Generative AI Engineer

As a Generative AI Specialist at Infogain, you will play a crucial role in enhancing the analytics backend of flagship products and driving intelligent knowledge discovery solutions. Your responsibilities will include: - Utilizing your 7-10 years of experience in Analytics, Data Science, and Software Development to solve complex problems and build AI solutions at scale. - Demonstrating strong Python programming expertise and hands-on experience with Generative AI tools & techniques. - Applying Semantic Graph concepts and Knowledge Graph experience to drive intelligent knowledge discovery solutions. - Handling ETL, data cleaning, imputation, and outlier handling effectively. - Leveraging Cloud platforms such as AWS, Azure, and GCP with AI/ML services for deploying solutions in production. - Implementing agentic application architectures & frameworks for AI-driven automation and intelligent product enhancements. - Engaging in knowledge base creation, context engineering, and MCP tools integration to create impactful solutions. - Showcasing strong stakeholder communication skills to drive collaboration and success. Qualifications required for this role include: - A Bachelor's degree in Computer Science or a Master's degree in Statistics, Economics, or related fields. - Strong expertise in Python programming and 7-10 years of experience in Analytics, Data Science, or Software Development. - Hands-on experience with Generative AI tools & techniques, Semantic Graph concepts, and Knowledge Graph. - Proficiency in ETL, data cleaning, imputation, outlier handling, and deployment of AI/ML solutions in production. - Familiarity with Cloud platforms like AWS, Azure, and GCP, along with experience in agentic application architectures & frameworks. - Ability to work on AI-driven automation, intelligent product enhancements, and knowledge base creation. In addition to the required skills, the following desirable skills would be beneficial for the role: - NLP & advanced GenAI techniques - Prompt Engineering - RAG, Corrective RAG & Knowledge Graph-based RAG (GPT-4o) - LORA/QLORA fine-tuning - Multi-agent frameworks - Rerankers for RAG optimization - Evaluation frameworks (G-Eval, etc.) - Deep Learning, ML techniques (Ensemble, SVM, NLP) - Scalability, performance & reliability of distributed data pipelines Join Infogain and be part of a dynamic team dedicated to leveraging Generative AI for innovative solutions in the field of knowledge discovery. As a Generative AI Specialist at Infogain, you will play a crucial role in enhancing the analytics backend of flagship products and driving intelligent knowledge discovery solutions. Your responsibilities will include: - Utilizing your 7-10 years of experience in Analytics, Data Science, and Software Development to solve complex problems and build AI solutions at scale. - Demonstrating strong Python programming expertise and hands-on experience with Generative AI tools & techniques. - Applying Semantic Graph concepts and Knowledge Graph experience to drive intelligent knowledge discovery solutions. - Handling ETL, data cleaning, imputation, and outlier handling effectively. - Leveraging Cloud platforms such as AWS, Azure, and GCP with AI/ML services for deploying solutions in production. - Implementing agentic application architectures & frameworks for AI-driven automation and intelligent product enhancements. - Engaging in knowledge base creation, context engineering, and MCP tools integration to create impactful solutions. - Showcasing strong stakeholder communication skills to drive collaboration and success. Qualifications required for this role include: - A Bachelor's degree in Computer Science or a Master's degree in Statistics, Economics, or related fields. - Strong expertise in Python programming and 7-10 years of experience in Analytics, Data Science, or Software Development. - Hands-on experience with Generative AI tools & techniques, Semantic Graph concepts, and Knowledge Graph. - Proficiency in ETL, data cleaning, imputation, outlier handling, and deployment of AI/ML solutions in production. - Familiarity with Cloud platforms like AWS, Azure, and GCP, along with experience in agentic application architectures & frameworks. - Ability to work on AI-driven automation, intelligent product enhancements, and knowledge base creation. In addition to the required skills, the following desirable skills would be beneficial for the role: - NLP & advanced GenAI techniques - Prompt Engineering - RAG, Corrective RAG & Knowledge Graph-based RAG (GPT-4o) - LORA/QLORA fine-tuning - Multi-agent frameworks - Rerankers for RAG optimization - Evaluation frameworks (G-Eval, etc.) - Deep Learning, ML techniques (Ensemble, SVM, NLP) - Scalability, performance & reliability of distributed data pipelines Join Infogain and be part of a dynamic team dedicated to leveraging Generative AI for innovative solutions in the field of knowledge discovery.