GenAI AI/ML Delivery Consultant

Amazon Web Services (AWS)

Dallas (TX)

On-site

USD 131,000 - 178,000

Full time

14 days+
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Job summary

Amazon Web Services, Inc. is seeking an experienced Delivery Consultant to join the ProServe team. You will work with customers to design, implement, and manage AWS AI/ML and GenAI solutions that meet technical and business goals.

You will lead customer-focused project teams, perform hands-on ML development, and guide migrations and best practices across the project lifecycle in a global cloud environment.

Qualifications

  • 3+ years of cloud architecture and solution implementation experience.
  • Knowledge of the primary AWS services (EC2, ELB, RDS, Route53 & S3).
  • Experience implementing AWS services in distributed computing environments.

Responsibilities

  • Lead project teams and implement end-to-end AI/ML and GenAI projects from needs to deployment and monitoring.
  • Design and implement machine learning pipelines that are high-performance, scalable, and secure.
  • Design scalable ML solutions and MLOps using AWS services and GenAI where applicable.
  • Collaborate with cross-functional teams to prepare, analyze, and operationalize data and models.
  • Serve as a trusted advisor to customers on AI/ML/GenAI and cloud architectures.
  • Share knowledge and best practices within the organization through mentoring and artifacts.
  • Ensure solutions meet industry standards and support customers in cloud adoption strategies.

Skills

Cloud architecture
AWS services
ML/GenAI experience
Technical leadership

Education

Bachelor's degree in a technical field

Tools

AWS Services
Git

Job description

Amazon Web Services, Inc. is seeking an experienced Delivery Consultant to join the ProServe team. You will work with customers to design, implement, and manage AWS AI/ML and GenAI solutions that meet technical and business goals.

You will lead customer-focused project teams, perform hands-on ML development, and guide migrations and best practices across the project lifecycle in a global cloud environment.

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