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

Join Our Team at AWS: Transforming Industries with Generative AI

Are you passionate about the cutting-edge of Machine Learning and AI? Would you be excited to leverage Generative AI algorithms to tackle real-world challenges with profound impact? The AWS Industries Team is dedicated to helping our clients implement Generative AI solutions that unlock transformational business opportunities in key industry sectors. Our team of data scientists, engineers, and architects collaborates closely with customers to build tailored solutions that harness the power of generative AI.

We partner with clients to envision and define use cases that will generate the most significant value for their businesses. Our services include selecting, training, and fine-tuning the right models, navigating technical and business challenges, developing proof-of-concepts, and building applications for scalable deployment. The AWS Industries Team also provides best practice guidance for the responsible and cost-effective application of generative AI.

You will work directly with customers in a dynamic environment that supports groundbreaking projects and technologies. This role involves designing and executing experiments, researching new algorithms, and discovering innovative ways 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 the Team

Diverse Experiences

At Amazon, we value diverse experiences. We encourage candidates to apply even if they do not meet all the preferred qualifications and skills listed in the job description. If your career path is unconventional or includes alternative experiences, don’t hesitate to apply.

Why AWS

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. As pioneers in cloud computing, we continually innovate, which is why customers from successful startups to Global 500 companies trust our extensive suite of products and services to power their businesses.

Work/Life Balance

We prioritize work-life harmony. Achieving success at work should never come at the expense of personal sacrifices. We strive for flexibility in our working culture, knowing that support in both professional and personal spheres enables us to achieve outstanding results in the cloud.

Inclusive Team Culture

At AWS, our culture is rooted in learning and curiosity. Our employee-led affinity groups foster inclusivity, empowering us to take pride in our diverse backgrounds and perspectives.

Mentorship and Career Growth

We are committed to raising our performance standards as we strive to become Earth's Best Employer. You’ll find abundant knowledge-sharing, mentorship, and career-advancing resources designed to help you grow into a well-rounded professional.

Basic Qualifications

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

Preferred Qualifications

• AWS experience preferred, with proficiency in a wide range of AWS services (e.g., Bedrock, SageMaker, EC2, S3, Lambda, IAM, VPC, CloudFormation).
• 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).
• Strong communication skills with the ability 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 a diverse workforce is essential to our success. We make recruiting decisions based on your experience and skills. Your passion for discovery, innovation, simplification, and building is what we value. Protecting your privacy and the security of your data remains a top priority for Amazon.

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