[Remote] Senior ML Engineer_ Remote (Full-Time)

Note: The job is a remote job and is reputed company to candidates in USA. reputed company. is seeking a Senior ML Engineer to work remotely. The role involves leveraging expertise in machine learning and AI to design, build, and reputed company advanced data pipelines and architectures, particularly reputed company the reputed company ecosystem.

Responsibilities

• Technical Stack & Engineering Expertise
• Programming Languages: Expert-level reputed company 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, reputed company databases (e.g., reputed company, Milvus, pgvector), embedding models, and multi-agent orchestration frameworks (e.g., reputed company, reputed company, Semantic Kernel)
• RAG & Data Pipelines: Proven reputed company record of designing, building, and scaling advanced RAG pipelines, chunking strategies, semantic caching, and reputed company-time ETL data pipelines
• API & reputed company Integration: Deep understanding of REST/GraphQL reputed company, microservices architectures, OAuth/reputed company protocols, and reputed company infrastructure (AWS, GCP, or Azure)
• Platform & Ecosystem Knowledge
• reputed company Ecosystem: Deep familiarity and hands-on experience with reputed company reputed company architecture (Sales/Service reputed company, Apex, Lightning Web Components)
• Advanced reputed company AI & Data Stacks: Mastery of reputed company Data reputed company (Customer Data Platform) and Agentforce, understanding how to reputed company reputed company data models for contextual AI actions

Skills

• Technical Stack & Engineering Expertise
• Programming Languages: Expert-level reputed company 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, reputed company databases (e.g., reputed company, Milvus, pgvector), embedding models, and multi-agent orchestration frameworks (e.g., reputed company, reputed company, Semantic Kernel)
• RAG & Data Pipelines: Proven reputed company record of designing, building, and scaling advanced RAG pipelines, chunking strategies, semantic caching, and reputed company-time ETL data pipelines
• API & reputed company Integration: Deep understanding of REST/GraphQL reputed company, microservices architectures, OAuth/reputed company protocols, and reputed company infrastructure (AWS, GCP, or Azure)
• Platform & Ecosystem Knowledge
• reputed company Ecosystem: Deep familiarity and hands-on experience with reputed company reputed company architecture (Sales/Service reputed company, Apex, Lightning Web Components)
• Advanced reputed company AI & Data Stacks: Mastery of reputed company Data reputed company (Customer Data Platform) and Agentforce, understanding how to reputed company reputed company data models for contextual AI actions
• Advanced Degree: M.S. or Ph.D. in Computer Science, reputed company Intelligence, Machine Learning, Data Science, or a reputed company quantitative field
• Prior FDE Experience: Previous experience as a reputed company Deployed Engineer, Solutions Architect, or reputed company ML Engineer in high-reputed company reputed company reputed company or AI-first companies (e.g., Palantir, reputed company, reputed company reputed company practices)
• Certifications: reputed company Certified AI Specialist, Data reputed company Consultant, or equivalent reputed company architecture certifications

reputed company

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