AI Agentic, ML Cloud Consultant

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🗽 New York – Remote

🗽 New York – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Artificial Intelligence

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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

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• teamwork • automation • continuous learning • ownership