AI Specialist

Walnut Creek Main Office, United States

AAA Northern California, Nevada & Utah

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Why Work For Us?

  • Great Pay - opportunity to participate in AAA discretionary annual incentive plan or other incentive plans depending upon position
  • 401k Matching – $1 for $1 company match up to 6% of eligible earnings per pay period
  • Benefits – Medical, Dental, Vision, wellness program and more!
  • Paid Holidays
  • Paid Time Off – Team Members accrue paid time off monthly. Depending on position, an additional 24 hours per year are earmarked for volunteer activities.
  • Collaborative Environment – AAA will value your contribution to providing exceptional service to our members
  • Free AAA Classic Membership
  • AAA Product Discounts
  • Tuition Reimbursement Program

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At AAA, our Team Members strive to deliver amazing service and help our Members outsmart life’s roadblocks. We believe everything you do outside of work adds to who you are at work. We're working to transform AAA for the next century with a mission to create Members for life by unleashing the innovative spirit of our Team Members.

NOTE: This role is hybrid and requires 2 days a week onsite in our Walnut Creek office.

Job Summary:

The Senior IA Automation Specialist is tasked with using generative artificial intelligence and machine learning tools to create business solutions to improve Member experience and operational efficiency. This role requires independent learning and problem solving to succeed.

RESPONSIBILITIES / JOB DUTIES

  • Design and build AI solutions using Google Cloud AI and potentially other AI services
  • Train and fine tune models for performance, scalability and accuracy
  • Collaborate with stakeholders across MWG to understand business requirements and identify opportunities for AI-driven solutions
  • Evaluate training data for new solutions, and ensure high quality data sources
  • Work with IT engineering and IT operations teams to integrate and deploy new solutions into MWG business systems
  • Implement testing and ongoing monitoring programs so that deployed models improve reliability and accuracy over time
  • Pilot proofs of concept to test new model approaches and validate proposal brought by business partner
  • Be responsible for components of business partner-led projects and lead internal projects to improve processes and operations
  • Business intelligence analysis and reporting
  • Stay up-to-date on developments in generative AI and ML technology

KNOWLEDGE / SKILLS / ABILITIES

  • Strong mathematical and analytical capacity
  • Strong communication and cross-team collaboration skills
  • Ability to work in an agile environment and work on multiple projects simultaneously
  • Proficient in relevant development tools such as Python, R, SQL
  • Experience with generative AI frameworks and machine learning libraries
  • Understanding of machine learning algorithms, natural language processing, and deep learning architectures
  • Experience and understanding of cloud technologies and implementations
  • Experience with business intelligence tools

EDUCATION, COMPETENCIES, CERTIFICATIONS/LICENSES

  • Minimum Qualifications
    • Bachelor's degree In Computer Science, Data Science, Artificial Intelligence.
    • Minimum of 8 years of relevant experience including data science, analytics, data engineering and/or software engineering, OR, HS Diploma and 12 years of relevant experience including data science, analytics, data engineering and/or software engineering.
    • 3+ years of experience in developing and deploying machine learning or AI models.

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We target between minimum and midpoint of the range, and all offers are subject to a fair pay analysis - Compensation Range: Min: $131,860.00 - Mid: $188,370.00- Max: $244,882.00

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Category: Deep Learning Jobs

Tags: Agile Architecture Business Intelligence Computer Science Deep Learning Engineering GCP Generative AI Google Cloud Machine Learning NLP Python R SQL Testing

Perks/benefits: 401(k) matching Career development Health care Wellness

Region: North America
Country: United States

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