Delivery Consultant / Delivery Consultantess

Join Our Team at AWS: Pioneering Machine Learning and AI

Are you eager to work at the cutting edge of Machine Learning and AI? Do you have a passion for using Generative AI algorithms to tackle real-world challenges with significant impact? The AWS Industries Team is dedicated to helping our customers implement Generative AI solutions and unlock transformative business opportunities across key industry verticals. Our team consists of data scientists, engineers, and architects who collaborate closely with customers to create customized solutions that leverage the power of generative AI.

We assist customers in envisioning and scoping their most valuable use cases, selecting and fine-tuning the right models, overcoming technical and business hurdles, developing proof-of-concepts, and scaling applications to launch these innovative solutions. The AWS Industries team also provides strategic guidance and implements best practices for applying generative AI responsibly and efficiently.

You will engage directly with customers and drive innovation in a dynamic environment, contributing to groundbreaking projects and technologies. Your responsibilities will include designing and running experiments, researching new algorithms, and discovering new methods to optimize risk, profitability, and customer experience.

Key Responsibilities

• Design and implement complex, scalable, and secure AWS solutions tailored to customer needs.
• Collaborate with stakeholders to gather requirements and propose effective migration strategies.
• Provide technical guidance and troubleshooting support throughout project delivery.
• Act as a trusted advisor to customers on industry trends and emerging technologies.
• Share knowledge within the organization through mentoring, training, and creating reusable artifacts.

About Our Team

Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all the preferred qualifications and skills listed in this description, we encourage you to apply online using the form below. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don’t let it deter you from applying.

Why AWS
Amazon Web Services (AWS) is the world’s most comprehensive and widely adopted cloud platform. We pioneered cloud computing and continue to innovate, which is why our robust suite of products and services powers success for businesses from startups to Fortune 500 companies.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we prioritize flexibility in our work culture. When we feel supported at home and work, there’s nothing we can’t achieve in the cloud.

Inclusive Team Culture
At AWS, learning and curiosity are in our DNA. Our employee-led affinity groups promote an inclusive culture that empowers us to take pride in our diverse backgrounds.

Mentorship and Career Growth
We are continuously raising our performance bar as we strive to be Earth’s Best Employer. Here, you’ll find abundant opportunities for knowledge-sharing, mentorship, and resources to help you grow as a well-rounded professional.

Basic Qualifications

• 3+ years of AI and ML experience, and proficiency in data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical/mathematical software (e.g., R, SAS, Matlab).
• 3+ years of cloud architecture and implementation experience with a proven record in designing and developing end-to-end Machine Learning and Generative AI solutions, from conception to deployment.
• Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science.
• Solid understanding of data modeling principles, statistical analysis methodologies, and the ability to extract meaningful insights from complex, large datasets.

Preferred Qualifications

• Proficiency in a wide range of AWS services (e.g., Bedrock, SageMaker, EC2, S3, Lambda, IAM, VPC, CloudFormation) is preferred; AWS Associate level certifications (e.g., Machine Learning Specialty, Machine Learning Engineer Associate, Solutions Architect Professional) are a plus.
• Experience with automation and scripting (e.g., Terraform, Python).
• Knowledge of security and compliance standards (e.g., HIPAA, GDPR).
• Strong communication skills, enabling you to explain technical concepts to both technical and non-technical audiences.
• Experience in developing and optimizing foundation models (LLMs), including fine-tuning, continuous training, and implementation of AI systems.

Amazon is an equal-opportunity employer. We believe that employing a diverse workforce is essential to our success. Recruiting decisions are based on your experience and skills. We appreciate your enthusiasm for discovery, innovation, simplification, and development. Protecting your privacy and the security of your data remains a top priority for Amazon.

Only applications matching the job profile will be considered.

Apply online using the form below.