ML Cloud Consultant

Job not on LinkedIn

November 13

Apply Now
Logo of Vertical Relevance

Vertical Relevance

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.

51 - 200 employees

💸 Finance

💳 Fintech

📋 Description

• Enable customers to solve complex data science problems – including problem framing, data preparation, scripting, model building, model deployment, model management, and output consumption • Consult, plan, design, and implement ML/AI solutions using 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

🎯 Requirements

• 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.

🏖️ Benefits

• Health insurance • 401(k) plans • Paid time off • Flexible work arrangements • Professional development opportunities

Apply Now

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