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Senior ML Engineer_ Remote (Full-Time)

Prudent Technologies and Consulting

Remote • Today

Easy Apply

Full-time

Depends on Experience

Job Details

Skills

Salesforce Data Cloud
REST
GraphQL
APIs
AI/ML
LLM

Summary

Senior ML Engineer_ Remote

FULL TIME

Preferred candidates are located on the West Coast.

Note: Candidates should be available for occasional business travel as needed.

KEY REQUIREMENTS & QUALIFICATIONS

Technical Stack & Engineering Expertise
Programming Languages: Expert-level fluency in Python and SQL; proficiency in modern JavaScript/TypeScript or Apex is a strong plus.
AI/ML & LLM Architectures: Deep hands-on experience with Large Language Models, transformer architectures, vector databases (e.g., Pinecone, Milvus, pgvector), embedding models, and multi-agent orchestration frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel).
RAG & Data Pipelines: Proven track record of designing, building, and scaling advanced RAG pipelines, chunking strategies, semantic caching, and real-time ETL data pipelines.
API & System Integration: Deep understanding of REST/GraphQL APIs, microservices architectures, OAuth/security protocols, and cloud infrastructure (AWS, Google Cloud Platform, or Azure).
Platform & Ecosystem Knowledge
Salesforce Ecosystem: Deep familiarity and hands-on experience with core Salesforce architecture (Sales/Service Cloud, Apex, Lightning Web Components).
Advanced Salesforce AI & Data Stacks: Mastery of Salesforce Data Cloud (Customer Data Platform) and Agentforce, understanding how to leverage unified data models for contextual AI actions.

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.

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.

Dice Id: prutx001
Position Id: 9045798
Posted 3 hours ago

Fitment

Dice Job Match Score™

⏳ Almost there, hang tight...

Contact the job poster

Suman Anaganti

Recruiter @ Prudent Technologies and Consulting

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Job Details

Skills

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Summary

Senior ML Engineer_ Remote

FULL TIME

Preferred candidates are located on the West Coast.

Note: Candidates should be available for occasional business travel as needed.

KEY REQUIREMENTS & QUALIFICATIONS

Technical Stack & Engineering Expertise
Programming Languages: Expert-level fluency in Python and SQL; proficiency in modern JavaScript/TypeScript or Apex is a strong plus.
AI/ML & LLM Architectures: Deep hands-on experience with Large Language Models, transformer architectures, vector databases (e.g., Pinecone, Milvus, pgvector), embedding models, and multi-agent orchestration frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel).
RAG & Data Pipelines: Proven track record of designing, building, and scaling advanced RAG pipelines, chunking strategies, semantic caching, and real-time ETL data pipelines.
API & System Integration: Deep understanding of REST/GraphQL APIs, microservices architectures, OAuth/security protocols, and cloud infrastructure (AWS, Google Cloud Platform, or Azure).
Platform & Ecosystem Knowledge
Salesforce Ecosystem: Deep familiarity and hands-on experience with core Salesforce architecture (Sales/Service Cloud, Apex, Lightning Web Components).
Advanced Salesforce AI & Data Stacks: Mastery of Salesforce Data Cloud (Customer Data Platform) and Agentforce, understanding how to leverage unified data models for contextual AI actions.

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.

Dice Id: prutx001
Position Id: 9045798
Posted 3 hours ago

Fitment

Dice Job Match Score™

⏳ Almost there, hang tight...

Contact the job poster

Suman Anaganti

Recruiter @ Prudent Technologies and Consulting

View Profile

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

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