Job Description:We are seeking a highly skilled GenAI Lead to join our growing this role you will leverage your expertise in Generative AI machine learning and natural language processing (NLP) to design and implement innovative AI-driven solutions. The ideal candidate will have a deep understanding of architectural design data strategies AI agents and the latest advancements in language models. You will play a key role in delivering cutting-edge solutions working with large-scale data and building systems that enhance automation intelligence and efficiency for our Responsibilities:GenAI Solutioning & Architectural Design: Lead the design and implementation of end-to-end Generative AI solutions ensuring scalable robust and efficient architecture that aligns with business Strategy & Management: Develop and execute strategies for data collection cleaning transformation and integration for AI model development. Apply best practices for data pipeline design and Agents Development: Design and implement intelligent AI agents using advanced techniques in NLP and machine learning to improve automation user interaction and decision-making -tuning & Prompt Engineering: Fine-tune pre-trained models (e.g. GPT BERT etc.) and optimize prompt engineering techniques to drive high-quality actionable outputs for diverse business use Learning & Deep Learning Models: Build train and deploy machine learning models including deep learning models for complex AI applications across various Provisioning from CSPs: Lead the provisioning and customization of Large Language Models (LLMs) from major Cloud Service Providers (CSPs) such as Azure AWS and Google Cloud ensuring optimal performance and & Frameworks: Utilize Langchain CrewAI and VectorDB for building integrating and scaling NLP solutions and leverage Flask/FastAPI for model deployment and & SQL Management: Work with databases (SQL/NoSQL) for data storage querying and management to support AI model development and & NLP Techniques: Apply advanced tokenization techniques to preprocess and analyze data for NLP tasks enhancing model efficiency and & Evaluation: Oversee the deployment of AI models ensuring smooth integration with production systems and perform rigorous evaluation of LLMs for accuracy efficiency and Skills & Qualifications:Proven experience in understanding GenAI solutions and architectural design for large-scale AI in data cleaning transformation and data strategy to drive AI and machine learning hands-on experience with AI agents prompt engineering and fine-tuning LLMs for business in machine learning models deep learning techniques and NLP knowledge of LLM provisioning from different Cloud Service Providers (CSPs) (e.g. AWS Azure Google Cloud).Experience with Langchain CrewAI VectorDB Flask FastAPI and related frameworks for model integration and database skills with proficiency in SQL and experience in working with NoSQL databases.
Job Description:We are seeking a highly skilled GenAI Lead to join our growing this role you will leverage your expertise in Generative AI machine learning and natural language processing (NLP) to design and implement innovative AI-driven solutions. The ideal candidate will have a deep understandin...
Job Description:We are seeking a highly skilled GenAI Lead to join our growing this role you will leverage your expertise in Generative AI machine learning and natural language processing (NLP) to design and implement innovative AI-driven solutions. The ideal candidate will have a deep understanding of architectural design data strategies AI agents and the latest advancements in language models. You will play a key role in delivering cutting-edge solutions working with large-scale data and building systems that enhance automation intelligence and efficiency for our Responsibilities:GenAI Solutioning & Architectural Design: Lead the design and implementation of end-to-end Generative AI solutions ensuring scalable robust and efficient architecture that aligns with business Strategy & Management: Develop and execute strategies for data collection cleaning transformation and integration for AI model development. Apply best practices for data pipeline design and Agents Development: Design and implement intelligent AI agents using advanced techniques in NLP and machine learning to improve automation user interaction and decision-making -tuning & Prompt Engineering: Fine-tune pre-trained models (e.g. GPT BERT etc.) and optimize prompt engineering techniques to drive high-quality actionable outputs for diverse business use Learning & Deep Learning Models: Build train and deploy machine learning models including deep learning models for complex AI applications across various Provisioning from CSPs: Lead the provisioning and customization of Large Language Models (LLMs) from major Cloud Service Providers (CSPs) such as Azure AWS and Google Cloud ensuring optimal performance and & Frameworks: Utilize Langchain CrewAI and VectorDB for building integrating and scaling NLP solutions and leverage Flask/FastAPI for model deployment and & SQL Management: Work with databases (SQL/NoSQL) for data storage querying and management to support AI model development and & NLP Techniques: Apply advanced tokenization techniques to preprocess and analyze data for NLP tasks enhancing model efficiency and & Evaluation: Oversee the deployment of AI models ensuring smooth integration with production systems and perform rigorous evaluation of LLMs for accuracy efficiency and Skills & Qualifications:Proven experience in understanding GenAI solutions and architectural design for large-scale AI in data cleaning transformation and data strategy to drive AI and machine learning hands-on experience with AI agents prompt engineering and fine-tuning LLMs for business in machine learning models deep learning techniques and NLP knowledge of LLM provisioning from different Cloud Service Providers (CSPs) (e.g. AWS Azure Google Cloud).Experience with Langchain CrewAI VectorDB Flask FastAPI and related frameworks for model integration and database skills with proficiency in SQL and experience in working with NoSQL databases.
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