20 hours ago
Zürich, SwitzerlandMid Level
Responsibilities
- Design, implement, and build complex, scalable, and secure GenAI and ML applications and models on AWS.
- Provide technical guidance and implementation support throughout customer project delivery, focusing on AWS AI/ML services.
- Gather customer requirements and propose model training, building, and deployment strategies.
- Assess customer infrastructure, recommend migration strategies to AWS, and guide cloud adoption initiatives.
- Advise customer stakeholders on industry trends, emerging technologies, and innovative solutions.
- Lead implementation while ensuring best practices, performance optimization, and risk management.
- Mentor team members, deliver training, and create reusable technical artifacts.
Requirements
- Experience developing software in one or more programming languages, such as Java or Python.
- Bachelor’s degree in computer science or equivalent.
- At least 3 years of cloud architecture and solution implementation experience.
- At least 2 years of experience hosting and deploying GenAI/ML solutions for training, fine-tuning, and inference.
- AWS Professional-level certifications, such as Solutions Architect Professional or DevOps Engineer Professional, are preferred.
- Hands-on experience with deep learning, machine learning, computer vision, graph neural networks, or distributed training is preferred.
- Experience with AWS services including S3, Redshift, SageMaker, EMR, Kinesis, Lambda, and EC2 is preferred.
- Experience scripting for automation with Python, Perl, or Ruby is preferred.
- Knowledge of security and compliance standards including HIPAA and GDPR is preferred.
- Strong written and verbal communication skills and the ability to present complex technical information clearly to executives and non-technical leaders are preferred.
- A master’s degree in computer science, computer engineering, or a related field, or a PhD, is preferred.
Benefits
- AWS provides mentorship, knowledge-sharing, training, and career-advancement resources.
- The company promotes an inclusive culture with employee-led affinity groups and learning experiences.
- AWS supports work-life balance and flexibility as part of its working culture.
- Workplace accommodations are available during the application and hiring process.
About Amazon
Amazon builds and operates a global e-commerce marketplace, logistics network, and consumer devices, and provides cloud computing via AWS for businesses and developers. The company earns revenue from online retail, third‑party seller services, subscriptions like Prime, advertising, and AWS usage. Founded in 1994 and headquartered in Seattle, it is publicly traded on NASDAQ (AMZN) and serves customers in dozens of countries.