Generative AI Engineer

Role Overview: As an AI Engineer in this role, you will be responsible for architecting and implementing advanced generative AI models. Your expertise in Generative AI, AWS Bedrock, Azure Open AI, Document Intelligence tools, Huggingface, Agentic AI, and Advanced Data Pipelines will be crucial in developing models for image and text generation, image and document extraction, RAG, Prompt engineering, and synthetic data generation. Key Responsibilities: - Architect and implement advanced generative AI models for various applications such as image and text generation, image and document extraction, RAG, Prompt engineering, and synthetic data generation. - Stay updated with the latest advancements in AI/ML and generative AI technologies to drive the adoption of new practices within the team. - Develop, fine-tune, and optimize generative AI models to ensure performance, scalability, and alignment with business objectives. - Apply data science principles to enhance AI/ML models by using statistical analysis and machine learning techniques. - Collaborate with data engineers, software developers, and product managers to integrate generative AI models into products and services. - Ensure ethical considerations are incorporated into the design and deployment of AI models, following industry standards and regulatory requirements. Qualifications Required: Minimum Qualifications / Skills: - Bachelor's or Master's degree in computer science, AI, Machine Learning, Data Science, or a related field. - 5+ years of experience in AI/ML, with a focus on generative AI models. - Proficiency in Python and experience with AI development libraries like TensorFlow and PyTorch. - Experience with Azure OpenAI, Open Source LLMs, and LangChain. - Strong expertise in developing and deploying generative AI models. - Solid experience in applying data science principles to enhance AI/ML models. Preferred Qualifications/ Skills: - Familiarity with advanced techniques such as Retrieval-Augmented Generation (RAG), fine-tuning, prompt engineering, and zero-shot learning. - Knowledge of NLP or computer vision related to generative AI applications.,