Amazon

Delivery Consultant - AI/ML, Professional Services - AWS Industries

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7 days ago
Jersey City, NJ, USA +8 moreMid Level
H1B Sponsor

Base Salary

$131k - $204k/yr

Responsibilities

  • Design, implement, and build complex, scalable, and secure GenAI and ML applications and models on AWS.
  • Provide technical guidance and implementation support using AWS AI/ML services throughout project delivery.
  • Gather customer requirements and propose model training, building, and deployment strategies.
  • Assess current infrastructure and recommend AWS migration strategies tailored to customer objectives.
  • Advise customers on industry trends, emerging technologies, and innovative solutions.
  • Optimize solution performance, manage project risks, and ensure adherence to best practices.
  • Mentor team members, provide training, and create reusable technical artifacts.

Requirements

  • Experience developing software code in one or more programming languages, including Java or Python.
  • At least 3 years of cloud architecture and solution implementation experience.
  • At least 2 years of experience hosting and deploying GenAI/ML solutions for training, fine-tuning, and inference.
  • AWS Professional-level certifications such as Solutions Architect Professional or DevOps Engineer Professional are preferred.
  • Hands-on experience with deep learning, machine learning, computer vision, graph neural networks, or distributed training is preferred.
  • Knowledge of security and compliance standards including HIPAA and GDPR is preferred.

Benefits

  • Comprehensive health insurance including medical, dental, vision, prescription, life, AD&D, employee assistance, mental health support, medical advice, flexible spending accounts, and adoption and surrogacy reimbursement coverage.
  • 401(k) matching, paid time off, and parental leave.
  • Sign-on payments and restricted stock units may be included in the Amazon compensation package.
  • The position is available in Mountain View, San Diego, San Francisco, Atlanta, Jersey City, New York, Austin, Dallas, and Seattle.

Tech Stack

Categories

Solutions Engineering
Amazon

About Amazon

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