Delivery Consultant - Machine Learning (GenAI) / Delivery Consultantess - Machine Learning (GenAI)

Join the AWS Industries Team

Are you eager to be at the cutting edge of Machine Learning and AI? Are you excited about utilizing Generative AI algorithms to tackle real-world challenges with significant impact? The AWS Industries Team at AWS enables our customers to implement Generative AI solutions, unlocking transformational business opportunities across the most strategic industry verticals. Our team is composed of data scientists, engineers, and architects who collaborate closely with customers to develop tailored solutions that leverage the power of generative AI.

Your Role

In this position, you will collaborate directly with customers in a dynamic organization that contributes to groundbreaking projects and technologies. You'll be responsible for designing and conducting experiments, researching innovative algorithms, and discovering new methods for optimizing risk, profitability, and customer experience.

As part of this role, you will utilize GenAI and other techniques to design, promote, implement, and scale solutions for previously unsolved problems.

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 the Team

Diverse Experiences

Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed, 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, we want to hear from you!

Why AWS

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and have never stopped innovating. That’s why customers, from successful startups to Global 500 companies, trust our robust suite of products and services to power their businesses.

Work/Life Balance

We believe in work-life harmony. Achieving success at work should never come at the expense of personal time, which is why we strive for flexibility as part of our working culture. When supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Inclusive Team Culture

At AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empowers us to take pride in our differences.

Mentorship and Career Growth

We are continuously raising our performance standards as we aspire to be Earth’s Best Employer. You’ll find a wealth of knowledge-sharing, mentorship, and other career-advancing resources here to help you grow into a well-rounded professional.

Basic Qualifications

• 3+ years of AI and ML experience, including familiarity with 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 track 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.

Preferred Qualifications

• AWS experience, with proficiency in various 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.
• Knowledge of security and compliance standards (e.g., HIPAA, GDPR) and strong communication skills to convey technical concepts to both technical and non-technical audiences.
• Experience in developing and optimizing foundational models (LLMs), including fine-tuning and continuous training for AI systems.

Only applications matching the job profile will be considered. Apply online using the form below.

Amazon is an equal-opportunity employer. We are passionate about building a diverse workforce as it is central to our success. We make hiring decisions based on your experience and skills, and we value your passion to discover, invent, simplify, and build. Protecting your privacy and the security of your data is a top priority for us.