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

Join Our Team at the Forefront of Machine Learning and AI

Are you ready to work at the cutting edge of Machine Learning and Artificial Intelligence? Do you want to apply Generative AI algorithms to tackle real-world challenges that can make a significant impact? The AWS Industries Team is seeking talented individuals to help our customers implement Generative AI solutions and unlock transformational business opportunities across key industry verticals. Our team consists of data scientists, engineers, and architects dedicated to crafting bespoke solutions that leverage the power of generative AI.

Your Role and Responsibilities

As a member of our team, you will collaborate directly with customers to innovate in a fast-paced environment. You will engage in:

• Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs.
• Collaborating with stakeholders to gather requirements and propose effective migration strategies.
• Providing technical guidance and troubleshooting support throughout project delivery.
• 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.

About Our Team

We believe that diverse experiences enrich our workplace. Even if you do not meet all the preferred qualifications and skills listed, we encourage you to apply online using the form below. Whether you're just starting your career, navigating an unconventional path, or bringing alternative experiences, we welcome your application.

Why Choose AWS?

Amazon Web Services (AWS) stands as the world's most comprehensive and widely adopted cloud platform. Having pioneered cloud computing, we continue to innovate and earn the trust of businesses, from successful startups to Global 500 companies, with our robust suite of products and services.

Work/Life Balance

We value a harmonious work-life environment. Achieving success in your career should not come at the expense of your personal life. That’s why we strive for flexibility within our working culture. We believe that when our employees feel supported both at work and at home, there’s nothing we can’t achieve together in the cloud.

Inclusive Team Culture

At AWS, we foster a culture of learning and curiosity. Our employee-led affinity groups empower us to celebrate our differences, creating an inclusive environment for all.

Mentorship and Career Growth

We are committed to continual improvement and aim to be Earth’s Best Employer. Here, you will find numerous knowledge-sharing and mentorship opportunities, along with career-advancing resources to support your professional development.

Basic Qualifications

• 3+ years of experience in AI and ML, including knowledge of 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.
• Familiarity with data modeling principles, statistical analysis methodologies, and the ability to extract meaningful insights from complex, large-scale datasets.

Preferred Qualifications

• Experience with AWS services (e.g., Bedrock, SageMaker, EC2, S3, Lambda, IAM, VPC, CloudFormation) and AWS Associate level certifications (e.g., Machine Learning Specialty, Machine Learning Engineer Associate, Solutions Architect Professional) preferred.
• Experience with automation and scripting (e.g., Terraform, Python).
• Knowledge of security and compliance standards (e.g., HIPAA, GDPR) and strong communication skills to convey technical concepts to diverse audiences.
• Experience in developing and optimizing foundation models (LLMs), including fine-tuning, continuous training, and implementation of AI systems.

Only applications matching the job profile will be considered. To express your interest, apply online using the form below.

Amazon is an equal opportunity employer. We are committed to employing a diverse workforce, believing that diverse experiences are central to our success. Recruiting decisions are based on experience and skills, and we value your passion for discovery, invention, simplification, and building. Protecting your privacy and the security of your data is a top priority for Amazon.