AI / Machine Learning Consultant

🕒 Yesterday

🗽 New York – Remote

🗽 New York – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Vertical Relevance

WebsiteLinkedInAll Job Openings

51 - 200 employees

💸 Finance

💳 Fintech

Finance • Fintech • Cloud Computing

Vertical Relevance is a boutique firm specializing in financial services with a strong focus on AWS Cloud Transformation, Business Consulting, and Customer Experience & CRM. The company helps financial institutions undergo effective digital transformation by leveraging its expertise in financial services, Amazon Web Services (AWS), and Salesforce. Vertical Relevance offers comprehensive services that include strategy, design, implementation, cloud transformation, and customer relationship management, primarily targeting financial services clients. With over 25 years of domain experience, they address unique security, regulatory, and compliance obligations, enabling clients to innovate and enhance customer experiences.

📋 Description

• 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

• 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

• Teamwork • Automation • Continuous learning • Ownership