As an AWS Machine Learning Consultant, you'll deliver ML solutions, collaborate with clients, and support internal brand development through thought leadership, requiring expertise in AWS services and ML frameworks.
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.
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
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
- Enable customers to solve complex data science problems, including problem framing, data preparation, scripting, model building, deployment, and monitoring.
- Design and implement ML/AI solutions using AWS and GCP ADK ML Services.
- Deliver ML projects end-to-end: understand business needs, aggregate and explore data, build and validate predictive models, deploy models with drift monitoring and retraining.
- Utilize AWS and GCP ADK AI services, ML platforms, and frameworks to build scalable ML models.
- Collaborate with consultants in Big Data, IoT, Chatbot's, and HPC to prepare and label data, and with engineers to operationalize models.
- Serve as a trusted technical advisor for clients.
- Develop high-quality technical content (automation tools, reference architectures, white papers).
- Innovate on behalf of customers and translate ideas into measurable results.
- Provide feedback to influence technology roadmaps and expand capabilities.
- Assist with technical briefs and reference architecture implementations.
- Contribute to thought leadership through blogs and case studies.
- Hands-on experience building and deploying ML/AI models in AWS, GCP, Azure.
- Strong customer-facing experience in software/technology.
- PhD in Computer Science, Statistics, Machine Learning, Data Science, or Electrical Engineering.
- Languages: Python, R
- AWS Services: SageMaker, Bedrock, Lambda, S3, Glue, EMR, IAM, VPC, CloudFormation
- ML Frameworks & Tools: TensorFlow, PyTorch, Keras, Spark, Hadoop, Jupyter Notebooks
- Agentic AI Frameworks: Google ADK, LangGraph, MCP
- LLM Providers: OpenAI, Anthropic, Gemini
- Techniques: RNNs, Reinforcement Learning, Transformers
- Platforms: ECS/EKS, Graph Databases, Enterprise Data Integration
Vertical Relevance helps business leaders drive value through transformation programs across people, processes, and systems. Our mission is to deliver custom solutions that enable success and growth. With deep expertise in Financial Services and complementary experience in technology and media, we provide strategy, design, implementation, and training services that deliver measurable ROI.
We are an equal opportunity employer and welcome applicants from all backgrounds.
Top Skills
Aws Deep Learning Ami
Aws Deep Learning Container
Aws Emr
Aws Glue
Aws Iam
Aws Infra Scripting
Aws Lambda
Aws S3
Aws Sagemaker
Aws Step Functions
Aws Vpc
Hadoop
Jupyter Notebooks
Keras
Mxnet
Python
PyTorch
R
Spark
TensorFlow
Vertical Relevance New York, New York, USA Office
15 W 38th St, New York, NY, United States, 10018
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