Delivery Consultant - AI/ML, AWS Professional Services

AmazonJersey City, NJ
63d$138,200 - $239,000

About The Position

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.

Requirements

  • 5+ years of cloud based solution (AWS or equivalent), system, network and operating system experience
  • Bachelor's degree in computer science, engineering, mathematics or equivalent
  • 4+ years of experience hosting and deploying GenAI/ML solutions (e.g., for training, fine tuning, and inferences)
  • 3+ years of coding, data querying languages (e.g. SQL), scripting languages (e.g. Python)

Nice To Haves

  • AWS Professional level certification
  • Experience scripting for automation (e.g., Python, Perl, Ruby)
  • Master's degree in computer science, computer engineering, or related field, or PhD
  • AWS Experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lamda, IAM, VPC, Cloudformation)
  • Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences
  • Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training

Responsibilities

  • Designing, implementing, and building complex, scalable, and secure GenAI and ML applications and models built on AWS tailored to customer needs
  • Providing technical guidance and implementation support throughout project delivery, with a focus on using AWS AI/ML services
  • Collaborating with customer stakeholders to gather requirements and propose effective model training, building, and deployment strategies
  • Acting as a trusted advisor to customers on industry trends and emerging technologies
  • Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts

Benefits

  • Medical, financial, and/or other benefits
  • Equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package
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