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: Masters 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 Bachelors 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 the performance of ML models and AI applications; Designing deploying and monitoring AI and ML systems in production with CI/CD model versioning reliability governance and cost optimization; Using cloud including AWS and services including ECS and SageMaker to build and deploy enterprise Al and ML solutions; Writing Python code for Al and ML workflows data preprocessing and feature engineering utilizing libraries including NumPy Scikit-Learn PySpark and Pandas for data manipulation; Using SQL for data transformation and feature engineering; Using RESTful API design and implementation. This position requires one (1) year of experience with the following: Building LLM and multi-modal AI solutions including multi-step agents and generative models for text and image tasks using frameworks including LangChain; Designing and refining prompts for generative AI architecting multi-agent systems and implementing ethical and safety guardrails in AI development.

We offer a competitive total rewards package including base salary determined based on the role experience skill set and location. For those in eligible roles discretionary incentive compensation which may be awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs based on eligibility. These benefits include comprehensive health care coverage on-site health and wellness centers a retirement savings plan backup childcare tuition reimbursement mental health support financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring addition please visit: Location: 3223 Hanover St Palo Alto CA 94304. This position requires up to 10% domestic travel to JPMC sites.

Full-Time. Salary: $275850 - $275850 per year.