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Vertical Relevance

AI/ML Cloud Consultant

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • Hands-on experience building and implementing machine-learning or artificial-intelligence models in AWS.
  • Experience in software or technology customer-facing roles.
  • A PhD in Computer Science, Statistics, Machine Learning, Data Science, or Electrical Engineering is required.
  • Must be legally authorized to work in the United States without employer sponsorship, now or at any time in the future.
  • Technical tools and services include Python, R, Hadoop, TensorFlow, Spark, Keras, MxNet, PyTorch, Jupyter Notebooks, recurrent neural networks, reinforcement learning, transformers, CloudFormation, S3, Lambda, VPC, Glue, EMR, IAM, Step Functions, SageMaker, Deep Learning AMI, and 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 machine-learning and artificial-intelligence solutions using AWS machine-learning services.
  • Deliver machine-learning projects end to end by understanding business needs, aggregating and exploring data, building and validating predictive models, and deploying completed models with concept-drift monitoring and retraining to deliver business impact.
  • Use AWS artificial-intelligence services, machine-learning platforms, and frameworks to help customers build machine-learning models.
  • Work with Big Data, Internet of Things, and high-performance computing consultants to analyze, extract, normalize, and label relevant data, and work with engineers to operationalize customer models after prototyping.
  • Develop technical content, including automation tools, reference architectures, and white papers, to help customers build on the cloud.
  • Support solution development by conveying customer needs and feedback as input to technology roadmaps, sharing real-world implementation challenges, and recommending expanded capabilities through enhanced and new offerings.
  • Assist with technical briefs documenting solutions and reference architecture implementations.
  • Work with Marketing and Alliances to write blog posts and develop internal case studies.

About the Company

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