1299 Machine Learning Engineer Genai Platform jobs in San Francisco,CA

Confidential

San Francisco, CA 94103

Over 10 years of data experience
At least 3 years in senior leadership within high-growth fintech or regulated financial services
Proven expertise in building and scaling enterprise data ecosystems
Strong leadership and communication skills
Technical proficiency in cloud warehouses, modeling, ETL, orchestration, and business intelligence is required
Strong SQL
Familiarity with Python
Experience with AWS data services
Infrastructure as code is essential
Must have ability to oversee data governance, cataloging, lineage, metadata, access controls, and auditability
Must be able to build semantic layers, unified source of truth datasets, and experimentation frameworks
Must be able to develop modern data architecture with real-time pipelines, event streaming, warehousing, and orchestration for analytics and machine learning
Must be able to lead analytics and data science, including business intelligence, self-service analytics, dashboarding, reporting, and risk scoring
Experience in regulated financial services (fintech or similar) is required

PG&E Corporation

San Ramon, CA 94582

Bachelor's Degree in Electrical Engineering
Job-related experience, 7 years or more or equivalent combination of job-related experience and postgraduate degree with specific experience in at least 5 areas of the following: Electromagnetic Transient Analysis, HIL Testing, Power System Equipment Testing, Power Flow Modeling and Analysis, Metering, Telecommunications and Networking, Test Automation, Controls and Data Acquisition, Power Electronics, Renewable Generation, Grid integration, Electric Grid Planning and Design

Amazon

San Francisco, CA 94199

PG&E Corporation

Oakland, CA 94612

BA/BS degree in Computer Science, Engineering, Business or related field or equivalent experience.
12 years of enterprise architecture experience.

Amazon Data Services

San Francisco, CA 94103

BrainTrust

San Francisco, CA 94102

US ARMY

Monterey, CA 93940

Attend a 14-week paid training program to gain skills and certifications in construction, engineering, demolition, and heavy equipment operations.
Advanced certifications require additional full funded training programs.