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Applied AI ML Lead [Multiple Positions Available]

Palo Alto, CA, USA
Up to $285,850/ year
Machine Learning Engineer Data Scientist Quantitative Analyst Prompt Engineer
Actively hiring

Applied AI ML Lead [Multiple Positions Available]

JPMorganChase
Palo Alto, CA, USA
Up to $285,850/ year
Machine Learning Engineer Data Scientist Quantitative Analyst Prompt Engineer
JPMorganChase
Actively hiring

hackajob is partnering with JPMorganChase to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.

 
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 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 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 process. In addition, please visit: https://careers.jpmorgan.com/us/en/about-us.

Job Location: 3223 Hanover St, Palo Alto, CA 94304. This position requires up to 10% domestic travel to JPMC sites.

Full-Time. Salary:  $275,850 - $275,850 per year.

ABOUT US

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, 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 process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans


ABOUT THE TEAM

J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

hackajob is partnering with JPMorganChase to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.

 

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