Delivery Consultant - AI/ML, Professional Services - AWS Industries
Amazon Web Services (AWS) · Atlanta, GA · Yesterday
ResearchFull-time
About the role
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.
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
Basic Qualifications
- Experience developing software code in one or more programming languages (java, python, etc.)
- 3+ years of cloud architecture and solution implementation experience
- Bachelor's degree in business administration, finance, economics, computer science, data science, engineering, or other related field
- 2+ years of experience hosting and deploying GenAI/ML solutions (e.g., for training, fine tuning, and inferences)
Preferred Qualifications
- Knowledge of security and compliance standards including HIPAA and GDPR
- Experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2
- Experience scripting for automation (e.g., Python, Perl, Ruby)
- Experience in written and verbal communication with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders
- Master's degree in computer science, computer engineering, or related field, or PhD
- AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred
- Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training
Pay
- USA, CA, Mountain View: 151,000.00 - 204,300.00 USD annually
- USA, CA, San Diego: 131,300.00 - 177,600.00 USD annually
- USA, CA, San Francisco: 151,000.00 - 204,300.00 USD annually
- USA, GA, Atlanta: 131,300.00 - 177,600.00 USD annually
- USA, NJ, Jersey City: 144,500.00 - 195,400.00 USD annually
- USA, NY, New York: 144,500.00 - 195,400.00 USD annually
- USA, TX, Austin: 131,300.00 - 177,600.00 USD annually
- USA, TX, Dallas: 131,300.00 - 177,600.00 USD annually
- USA, WA, Seattle: 131,300.00 - 177,600.00 USD annually
Benefits
- Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
- 401(k) matching
- Paid time off
- Parental leave