Delivery Consultant - Machine Learning (GenAI)

TL;DR

Delivery Consultant - Machine Learning (GenAI): Building and implementing complex, scalable, and secure Generative AI solutions for AWS customers with an accent on designing end-to-end ML/GenAI solutions and providing technical guidance. Focus on researching new algorithms, optimizing risk, profitability, and customer experience, and sharing knowledge within the organization.

Location: This role is for the EMEA region, serving customers directly. This implies the candidate should be based in EMEA or willing to travel extensively within the region.

Company

Amazon Web Services (AWS) is a comprehensive cloud platform providing services from startups to Global 500 companies, innovating in cloud computing.

What you will do

• 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.
• Research new algorithms and optimize risk, profitability, and customer experience using GenAI.
• Share knowledge within the organization through mentoring, training, and creating reusable artifacts.

Requirements

• 3+ years of AI and ML experience and data querying languages (e.g., SQL).
• 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.
• Bachelor's degree in a quantitative field (statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science) or relevant working experience.

Nice to have

• 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).
• 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.

Culture & Benefits

• Amazon values diverse experiences and encourages all candidates to apply.
• Emphasis on work-life harmony and flexibility in working culture.
• Inclusive team culture fostered by employee-led affinity groups.
• Opportunities for endless knowledge-sharing, mentorship, and career growth.