Skip to main content
ResumeKart
← Back to Jobs

Agentic AI / ML Consultant

Vertical Relevance•United States•🌍 Remote
Full-time7-15
👁️ 0 views•📝 0 applications•Posted 8/29/2026•Expires 10/28/2026
Tailor Resume for This JobCheck ATS Score

Get alerts for roles like this

More Agentic AI / ML Consultant roles in United States — straight to your inbox. No account needed.

Applying to this role? Tailor your résumé to this job description in one click, then download it clean — no watermark, no subscription.

Job Description

Vertical Relevance is seeking an Agentic AI/ Machine Learning Consultant to join our team. In this role, you will be responsible for the end-to-end design, development, and deployment of advanced ML/AI solutions.

You’ll work closely with clients to deliver impactful outcomes, leveraging Cloud services and cutting-edge technologies remotely. As an Agentic AI/Machine Learning Consultant, you will collaborate with cross-functional teams to implement technical solutions that solve complex business challenges.

This position requires strong technical expertise, excellent communication skills, and a passion for driving customer success. At Vertical Relevance , we believe in teamwork, automation, continuous learning, and ownership. If you’re ready to innovate and make a measurable impact, we’d love to hear from you!

Key Responsibilities

Experience delivering end-to-end ML/AI solutions from problem framing through deployment and monitoring from a consultant perspective. Design scalable AI/ML architectures using AWS, Azure, 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.

Required Qualifications 5+ 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. Expert in Python and R. Experience wit

Required Skills

AWSGCPAzureRAGPythonRvector databaseshybrid searchknowledge graphentity resolutionSageMakerBedrockLambdaOpenSearchdata ingestion pipelinesPHIPIIretrieval evaluation frameworksRecall@KPrecision@KMRRnDCGchunkingembeddingsre-rankingtechnical thought leadershipmentoring

Partner picks for Agentic AI / ML Consultant in United States

Matched to the skills this page calls for and the candidate's location.

Partner
  • UdemyVerified partner
    Partner course provider

    A marketplace of instructor-created courses across technology, business and creative skills.

    covers pythoncovers aws
  • Partner course provider

    Structured programmes for software engineers, data science and DevOps.

    covers pythoncovers aws
  • Partner course provider

    Certification training in cloud, data, cyber security, project management and digital marketing.

    covers awscovers azure

Partners are ResumeKart affiliates or institutes it works with; ResumeKart may earn a commission when a candidate enrols. Placement is decided by relevance, not payment. How ResumeKart earns

Prepare to Win This Role

Everything you need to ace the interview and negotiate top-of-band compensation.

The best-paying roles in your field. Every week. Free.

Join 10,000+ professionals getting job alerts and salary insights in their inbox

We respect your privacy. Unsubscribe anytime with one click.