Overview
On Site
USD 149,600.00 - 162,000.00 per year
Full Time
Skills
Creative Problem Solving
Finance
Roadmaps
Generative Artificial Intelligence (AI)
User Experience
Agile
Project Delivery
Collaboration
Data Science
Workflow
Documentation
Use Cases
Computer Science
Business Analytics
Statistical Models
Management
Machine Learning (ML)
Large Language Models (LLMs)
Prompt Engineering
Adapter
Natural Language Processing
Elasticsearch
Customer Experience
Vertex
Artificial Intelligence
Analytics
SQL
NoSQL
Database
Product Optimization
Python
Insurance
Job Details
Your Opportunity
At Schwab, you're empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us "challenge the status quo" and transform the finance industry together.
Job Duties: Create AI roadmaps for enabling conversational platforms for different lines of business. Build proof of concept for GenAI applications powered by Large Language Models based on Business use-cases. Adapt existing latest large language models and/or fine-tune them to use cases in Schwab to drive process efficiencies and enhance user experience. Follow Agile practices for project delivery. Ensure that the committed priorities are delivered on time and challenges are promptly voiced. Communicate the business value generated from different analyses and work with stakeholders for plan to action. Collaborate with cross function teams to understand requirements and translating into data science workflows. Create detailed documentation for each project/use-cases with necessary information about projects.
What you have
Job Requirements: Master's in Computer Science, Business Analytics, or a related field and 36 months of experience in a related occupation. Experience must include 36 months involving the following: Statistical modeling and the development of supervised and unsupervised machine learning models; Working with large language models (LLMs), encompassing prompt engineering, fine-tuning/adapter tuning, and inference; Developing conversational chatbots leveraging cutting-edge NLP techniques and platforms such as Dialogflow ES/CX and Vertex AI; Product analytics, utilizing SQL and NoSQL databases to extract and translate data into actionable insights for product improvement; and Python programming skills
We offer competitive pay and benefits. Starting compensation depends on related experience. Annual bonus and other eligible earnings are not included in the ranges above. Benefits include: 401(k) w/ company match; employee stock purchase plan; paid vacation, volunteering, 28-day sabbatical after every 5 years of service for eligible positions; paid parental leave and family building benefits; tuition reimbursement; health, dental, and vision insurance; hybrid/remote work schedule available for eligible positions (subject to Schwab's internal approach to workplace flexibility).
At Schwab, you're empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us "challenge the status quo" and transform the finance industry together.
Job Duties: Create AI roadmaps for enabling conversational platforms for different lines of business. Build proof of concept for GenAI applications powered by Large Language Models based on Business use-cases. Adapt existing latest large language models and/or fine-tune them to use cases in Schwab to drive process efficiencies and enhance user experience. Follow Agile practices for project delivery. Ensure that the committed priorities are delivered on time and challenges are promptly voiced. Communicate the business value generated from different analyses and work with stakeholders for plan to action. Collaborate with cross function teams to understand requirements and translating into data science workflows. Create detailed documentation for each project/use-cases with necessary information about projects.
What you have
Job Requirements: Master's in Computer Science, Business Analytics, or a related field and 36 months of experience in a related occupation. Experience must include 36 months involving the following: Statistical modeling and the development of supervised and unsupervised machine learning models; Working with large language models (LLMs), encompassing prompt engineering, fine-tuning/adapter tuning, and inference; Developing conversational chatbots leveraging cutting-edge NLP techniques and platforms such as Dialogflow ES/CX and Vertex AI; Product analytics, utilizing SQL and NoSQL databases to extract and translate data into actionable insights for product improvement; and Python programming skills
We offer competitive pay and benefits. Starting compensation depends on related experience. Annual bonus and other eligible earnings are not included in the ranges above. Benefits include: 401(k) w/ company match; employee stock purchase plan; paid vacation, volunteering, 28-day sabbatical after every 5 years of service for eligible positions; paid parental leave and family building benefits; tuition reimbursement; health, dental, and vision insurance; hybrid/remote work schedule available for eligible positions (subject to Schwab's internal approach to workplace flexibility).
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.