AI/ML Cloud Consultant

Vertical RelevanceClinton, MD
Hybrid

About The Position

Vertical Relevance is looking for an AWS Machine Learning Consultant to join their team as a full-time employee. This role can be based in their New York or New Jersey office, or be remote. The consultant will be responsible for the end-to-end planning, building, and deploying of software systems, and will be able to drive the programming of well-constructed, testable code. In this role, you will implement technical solutions as part of a team for customer engagements. This position requires strong teamwork, communication, patience, and organization skills to drive customer success. Vertical Relevance emphasizes delivering with excellence through teamwork, automating everything, continuous learning, and taking ownership for customer outcomes.

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.

Nice To Haves

  • Primary Languages – Python, R
  • Tooling, Services & Libraries – Hadoop, TensorFlow, Spark, Keras, MxNet, PyTorch, Jupyter Notebooks
  • Techniques – Recurrent Neural Networks, Reinforcement Learning, Transformers
  • AWS Infrastructure Scripting – CloudFormation
  • 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
  • AWS Machine Learning Services – SageMaker, Deep Learning AMI, Deep Learning Container

Responsibilities

  • 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 other consultants (Big Data, IoT, HPC) to analyze, extract, normalize, and label relevant data, and with 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
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