| Generative AI Engineer - Dallas Texas OR Basking Ridge NJ - Day one onsite at Dallas, Texas, USA |
| Email: [email protected] |
| From: Mahesh, Nexwave [email protected] Reply to: [email protected] Role : Generative AI Engineer Location : Dallas TX or Basking Ridge NJ ( Onsite /Hybrid ) Role and responsibilities Collaborate with data engineers, data scientists, and stakeholders to understand data requirements, problem statements, system integrations, and RAG application functionalities. Utilize, apply & enhance GenAI models using state-of-the-art techniques like transformers, GANs, VAEs, LLMs (including experience with various LLM architectures and capabilities), and vector representations for efficient data processing. Implement and optimize GenAI models for performance, scalability, and efficiency, considering factors like chunking strategies for large datasets and efficient memory management. Integrate GenAI models, including LLMs, into production pipelines, applications, existing analytical solutions, and RAG workflows, ensuring seamless data flow and information exchange. Utilize LangChain and similar tools (e.g., PromptChain) to facilitate efficient data retrieval, processing, and prompt engineering for LLM fine-tuning within RAG applications. Apply software engineering principlesto develop secure, scalable, maintainable, and production-ready GenAI applications. Build and deploy GenAI applications on cloud platforms (AWS, Azure, or GCP), leveraging containerization technologies (Docker, Kubernetes) for efficient resource management. Integrate GenAI applications with other applications, tools, and analytical solutions (including dashboards and reporting tools) to create a cohesive user experience and workflow within the RAG ecosystem. Continuously evaluate and improve GenAI models, applications, and user interfaces based on data, feedback, user needs, and RAG application performance metrics. Stay up-to-date with the latest advancements in GenAI research, development, front-end and back-end development practices, integration tools, LLM architectures, and RAG functionalities. Skills: Strong understanding of machine learning and deep learning concepts Proficiency in Python (libraries like TensorFlow, PyTorch) with experience in vector data manipulation libraries Experience with generative AI models (transformers, GANs, VAEs) and various LLM architectures Experience with back-end development frameworks (e.g., Django, Flask) and API development (RESTful or GraphQL) Knowledge of containerization technologies (Docker, Kubernetes) Knowledge of chunking strategies for handling large datasets Experience working with RAG applications and their functionalities Expertise in LangChain and similar tools (e.g., PromptChain) for prompt engineering and data processing in RAG applications Experience with DevOps principles and tools for continuous integration and delivery (CI/CD) Experience with building and integrating with analytical dashboards and reporting tools Keywords: continuous integration continuous deployment artificial intelligence New Jersey Texas Generative AI Engineer - Dallas Texas OR Basking Ridge NJ - Day one onsite [email protected] |
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| Wed Dec 11 23:26:00 UTC 2024 |