ML Cloud Consultant

Vertical Relevance

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profile Job Location:

Manhattan, IL - USA

profile Monthly Salary: Not Disclosed
Posted on: Yesterday
Vacancies: 1 Vacancy

Job Summary

Summary

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. He/she will be able to 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 implementML/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 ourcustomerstrust

    • 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 customersand translateyour 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 internalandexternal brand development through thought leadership:

    • Work with Marketing/Alliances to write blog posts

    • Work with Marketing/Alliances to develop internal case studies

Qualifications

  • 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.

Relevant TechnicalTools

  • Primary LanguagesPythonR

  • Tooling Services & LibrariesHadoopTensorFlow SparkKerasMxNetPyTorchJupyterNotebooks

  • Techniques RecurrentNeuralNetworksReinforcement Learning Transformers

Relevant AWSServices

  • AWS Infrastructure ScriptingCloudFormation

  • AWS Storage ServicesS3

  • AWS Compute ServicesLambda

  • AWS Networking ServicesVPC

  • AWS Analytics Services GlueEMR

  • AWS Security Identity Compliance ServicesIAM

  • AWS Application Integration ServicesStep Functions

  • AWS Machine Learning ServicesSageMaker Deep Learning AMI Deep Learning Container

The Company

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 technology challenges and then right-sizing solutions that provide a meaningful ROI. With our industry experts hitting the ground running and focusing on nimble quality delivery we can see rapid tangible improvements with our clients in productivity and effectiveness. When it makes sense for your company we leverage our product partnerships in the areas of CRM Sales Acceleration Predictive Analytics Digital Knowledge Management and Cloud Transformation.

Vertical Relevance is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex gender identity sexual orientation race color religion national origin disability protected Veteran status age or any other characteristic protected by law.


Required Experience:

Manager

SummaryVertical 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. He/she will be able to drive ...
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Key Skills

  • Sales Experience
  • Direct Sales
  • Hyperion
  • Financial Services
  • Financial Concepts
  • Banking
  • Oracle EBS
  • Securities Law
  • Peoplesoft
  • Oracle
  • Financial Management
  • Workday

About Company

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Vertical Relevance is an industry-focused consulting firm with deep expertise in financial services and other regulated industries through partnership with technology platforms such as Amazon Web Services (AWS) and ServiceNow.

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