AWS ML Cloud Consultant
Listed on 2026-01-01
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IT/Tech
AI Engineer, Machine Learning/ ML Engineer
About the Role
Vertical Relevance is looking for an AWS Machine Learning Consultant, to join our team as a full-time employee in our New York or New Jersey office or work remotely. This person is responsible for the end‑to‑end planning, building, and deploying of software systems. They will drive the programming of well‑constructed, testable code.
As an AWS Machine Learning Consultant, you will implement technical solutions as part of a team for customer engagements. This role requires strong teamwork, communication, patience and organization skills needed to drive customer success.
At Vertical Relevance we deliver with excellence through teamwork, automating everything, constantly learning and taking ownership for the outcomes our customers experience. Are you ready to join the team?
Responsibilities- Enable customers to solve complex data scienceproblems –including problem framing, data preparation, scripting, model building, model deployment, model management, and output consumption
- Consult, plan, design, and implement
ML/AIsolutionsusing AWS ML Services - Assist customers by being able to deliver a ML project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models with concept‑drift monitoring and retraining to deliver business impact to the organization
- Use AWS AI services, ML platforms, and frameworks to help our customers build ML models
- Work with our other consultants (Big Data, IoT, HPC) to analyze, extract, normalize, and label relevant data, and with our engineers to operationalize customers’ models after they are prototyped
- Become a deep technical resource that earns our customer's trust
- Develop high‑quality technical content such as automation tools, reference architectures, and white papers to help our customers build on the cloud
- Innovate on behalf of customers and translate your thoughts into action yielding measurable results.
- Support solution development by conveying customer needs and feedback as input to technology roadmaps. Share real‑world implementation challenges and recommend expansion of capabilities through enhanced and new offerings.
- Assist with technical briefs that document solutions
- Assist with reference architecture implementations
- Support internal and external brand development through thought leadership:
- Work with Marketing/Alliances to write blog posts
- Work with Marketing/Alliances to develop internal case studies
- Hands‑on experience building and implementing machine learning or AI models in AWS
- Experience in software/technology customer facing experience
- PhD in Computer Science, Statistics, Machine Learning, Data Science, Electrical Engineering
- You must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
- Primary Languages–Python,R
- AWS GenAI & Compute Services
- Containerized Runtime Platforms (ECS / EKS)
- Agentic AI Frameworks (Google ADK,Lang Graph, MCP)
- Python AI & Retrieval Stack
- Bedrock
- Sagemaker
- AWS Infrastructure Scripting–Cloud Formation
- AWS Storage Services–S3
- AWS Compute Services–Lambda
- AWS Networking Services–VPC
- AWS Analytics Services– Glue,EMR
- AWS Security, Identity, Compliance Services–IAM
- AWS Application Integration Services–Step Functions
Vertical Relevance was founded to help business leaders drive value through the design and delivery of effective transformation programs across people, processes, and systems. Our mission is to help firms at any stage of their journey develop custom solutions for success and growth. We provide a full range of services from strategy and design through to implementation and training. Our collective industry expertise is our greatest asset - our professionals have an average of 20+ years’ experience within Financial Services, across Wealth Management, Asset Management, Insurance, and Banking.
Within our Customer Experience practice, we add complementary industry expertise (technology and media) synergizing the most relevant and successful customer trends. We focus wholly on your success by first rigorously assessing your business and…
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