Applied AI ML Lead [Multiple Positions Available]

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 frameworks.

Lead end-to-end development and fine-tuning of custom LLMs and GenAI models, including data preparation and techniques like Low-Rank Adaptation.

Integrate, fine- tune, and evaluate custom or off-the-shelf LLMs and other AI models and tools for production deployment.

Oversee project timelines, resources, and deliverables for LLM projects.

Collaborate with product managers and stakeholders to translate business needs into technical requirements.

Drive the long-term AI strategy by identifying new opportunities and communicating complex technical concepts to diverse audiences.

QUALIFICATIONS:

Minimum education and experience required: Master's degree in Computer Science, Mathematics, Statistics, Data Science or related field of study plus three (3) years of experience in the job offered or as Applied AI ML Lead, Applied AI/ML Engineer, Data Scientist, Quantitative Analyst, or related occupation.

The employer will alternatively accept a Bachelor's Degree in Computer Science, Mathematics, Statistics, Data Science or related field of study plus five (5) years of experience in the job offered or as Applied AI ML Lead, Applied AI/ML Engineer, Data Scientist, Quantitative Analyst, or related occupation.

Skills Required: This position requires three (3) years of experience with the following: Applying NLP techniques including tokenization, embedding, and training transformer models for tasks including classification and entity recognition; Building, training, and deploying ML and Deep Learning models with TensorFlow, PyTorch and HuggingFace, including fine-tuning neural network based-models; Designing and implementing advanced retrieval systems using vector databases including OpenSearch; Using metrics including accuracy, precision, and recall testing and evaluating...