AI / Machine Learning Consultant

Vertical Relevance

Agentic AI/Machine Learning Consultant delivering ML/AI solutions for clients using AWS and GCP services. Collaborating with teams and mentoring while focusing on customer success.

Posted 6/26/2026full-timeRemote • New York • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AWSAzureGoogle Cloud PlatformPython

About the role

Key responsibilities & impact

Deliver end-to-end ML/AI solutions from problem framing through deployment and monitoring
Design scalable AI/ML architectures using AWS and GCP services
Optimize RAG pipelines including chunking, embeddings, hybrid search, and re-ranking
Develop retrieval evaluation frameworks (Recall@K, Precision@K, MRR, nDCG)
Design and implement knowledge graphs and ontologies
Build data ingestion pipelines for structured and unstructured data
Deploy solutions using AWS tools such as SageMaker, Bedrock, Lambda, and OpenSearch
Implement self-hosted embedding models in secure environments
Ensure compliance with PHI/PII data security requirements
Collaborate with cross-functional teams and act as a technical advisor
Mentor team members and contribute to technical thought leadership

Requirements

What you’ll need

Experience building and deploying ML/AI solutions in AWS, GCP, or Azure
Strong expertise in RAG systems and retrieval optimization
Experience with vector databases and hybrid search techniques
Knowledge of knowledge graph design and entity resolution
Proficiency in Python (R is a plus)
Experience with LLM platforms such as OpenAI, Anthropic, or Gemini

Benefits

Comp & perks

Teamwork
Automation
Continuous learning
Ownership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

ML solutionsAI solutionsAWSGCPRAG systemsPythonknowledge graph designvector databaseshybrid searchembedding models

Soft Skills

collaborationtechnical advisingmentoringthought leadership