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

Summary

Amazon Web Services (AWS) is a global cloud platform provider whose Professional Services team helps customers achieve business outcomes through enterprise cloud adoption. The Delivery Consultant will design, implement, and manage scalable AWS GenAI and machine learning solutions, provide technical guidance throughout project delivery, and advise customers on cloud architecture, emerging technologies, and deployment strategies.

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

Skills

• Experience developing software code in one or more programming languages (java, python, etc.)
• Bachelor's degree in computer science or equivalent
• 3+ years of cloud architecture and solution implementation experience
• 2+ years of experience hosting and deploying GenAI/ML solutions (e.g., for training, fine tuning, and inferences)
• Experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2
• Experience scripting for automation (e.g., Python, Perl, Ruby)
• Knowledge of security and compliance standards including HIPAA and GDPR
• 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

Qualifications

Must Haves

• Experience developing software code in one or more programming languages (java, python, etc.)
• Bachelor's degree in computer science or equivalent
• 3+ years of cloud architecture and solution implementation experience
• 2+ years of experience hosting and deploying GenAI/ML solutions (e.g., for training, fine tuning, and inferences)

Nice to Haves

• Experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2
• Experience scripting for automation (e.g., Python, Perl, Ruby)
• Knowledge of security and compliance standards including HIPAA and GDPR
• 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

Benefits

• Sign-on payments
• Restricted stock units (RSUs)
• Health insurance, including medical, dental, vision, prescription, Basic Life & AD&D insurance, and an option for Supplemental life plans
• Employee Assistance Program (EAP)
• Mental Health Support
• Medical Advice Line
• Flexible Spending Accounts
• Adoption and Surrogacy Reimbursement coverage
• 401(k) matching
• Paid time off
• Parental leave
• Endless knowledge-sharing, mentorship and other career-advancing resources
• Flexibility as part of the working culture