Applied AI ML Lead [Multiple Positions Available]

Job description

Duties: Design, build and deploy machine learning (ML) and natural language processing (NLP) techniques to text data for classification, summarization and sentiment analysis. Design, develop, and maintain comprehensive data pipelines and frameworks for data preprocessing and streamlined deployment, monitoring, and management of ML applications. Monitor performance and document methodologies and logs to drive improvements and ensure reproducibility. Define the architectural roadmap and technical direction for applied AI and large language model (LLM) initiatives. Lead and mentor a team of AI and ML engineers on GenAI application delivery and best practices across the full development lifecycle. Conduct code and system design reviews, ensuring quality, security, and maintainability. Act as the primary escalation point for complex technical issues related to LLM application deployment and integration. Deploy and architect robust GenAl applications by integrating LLMs into secure, scalable, and reliable systems for orchestrating workflows in high-stakes environments. Direct the design and development of generative Al and Agentic solutions using prompt engineering, RAG, and relevant fra...