Senior ML & Data Science Engineer Remote (Full-Time) | Bay Area Candidates Preferred
Quick Overview
Job Description
Sr.ML Data Science Engineer -Remote
FULL TIME
Prefeed Bay Area (San Francisco)
Note: Candidates should be available for occasional business travel as needed.
Required Skills
Candidates should have 15+ years of professional experience in AI/ML engineering, data science, and enterprise technology solutions.
AI / Machine Learning / LLM Expertise
- Hands-on experience with Large Language Models (LLMs)
- Deep understanding of Transformer architectures
- Experience with:
Retrieval-Augmented Generation (RAG) & Data Engineering
- Proven experience building and scaling RAG pipelines
API Development & System Architecture
Strong understanding of:
- REST APIs
- GraphQL APIs
- Microservices architecture
Cloud infrastructure experience:
- AWS
- Google Cloud Platform (Google Cloud Platform)
- Microsoft Azure
Salesforce AI & Data Platform Skills
- Hands-on experience with:
- Salesforce Data Cloud
- Salesforce Agentforce
PREFERRED QUALIFICATIONS
Advanced Degree: M.S. or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related quantitative field.
- Prior FDE Experience: Previous experience as a Forward Deployed Engineer, Solutions Architect, or Principal ML Engineer in high-growth enterprise SaaS or AI-first companies (e.g., Palantir, Databricks, OpenAI enterprise practices).
- Certifications: Salesforce Certified AI Specialist, Data Cloud Consultant, or equivalent cloud architecture certifications.
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