Senior Generative AI Specialist, Generative AI Innovation Center

1 month ago

Melbourne, Victoria, Australia Amazon Web Services Australia Pty Ltd - D81 Full time
About the Role

Amazon Web Services Australia Pty Ltd - D81 is seeking a highly skilled Senior Generative AI Specialist to join our Generative AI Innovation Center. As a key member of our team, you will be responsible for designing and implementing cutting-edge Generative AI solutions for our customers.

Key Responsibilities:

  • Collaborate with our applied and data scientists to build robust and scalable Generative AI solutions for business problems
  • Effectively use Foundation Models available on Amazon Bedrock and Amazon SageMaker to meet our customer's performance needs
  • Work hands on to build scalable cloud environment for our customers to label data, build, train, tune and deploy their models
  • Interact with customer directly to understand the business problem, help and aid them in implementation of their ML ecosystem
  • Analyze and extract relevant information from large amounts of historical data to help automate and optimize key processes
  • Work closely with account teams, applied/data scientist teams, and product engineering teams to drive model implementations and new algorithms
  • Mentor and develop junior members on the team

About the Team

Our team is passionate about leveraging the power of Generative AI to drive business value for our customers. We are a diverse and inclusive team that values collaboration, innovation, and continuous learning.

What We Offer

  • A competitive salary and benefits package
  • Opportunities for career growth and professional development
  • A dynamic and supportive work environment
  • Access to cutting-edge technology and tools
  • A chance to work on high-impact projects that make a real difference

Requirements

  • Bachelor's degree in computer science or equivalent with 5+ years of relevant working experience
  • Experience with machine learning fundamentals, with working knowledge of Python and experience with deep learning frameworks such as Pytorch, TensorFlow, JAX or MXNet
  • 5+ years of relevant experience in developing and deploying large scale machine learning or deep learning models and/or systems into production, including batch and real-time data processing

Preferred Qualifications

  • Bachelor's degree in computer science or equivalent with 8+ years of relevant working experience, or Master's degree in computer science or equivalent with 5+ years of working experience
  • Experiences related to machine learning, deep learning, NLP, CV, GNN, or distributed training
  • Experiences related to AWS services such as SageMaker, EMR, S3, DynamoDB and EC2
  • Working knowledge of generative AI and hands on experience in prompt engineering, deploying and hosting Large Foundational Models

How to Apply

If you are a motivated and experienced professional looking to join a dynamic team, please submit your application, including your resume and a cover letter, to [insert contact information].

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