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AI Solutions Engineer
3 months ago
Become a Key Player at the AWS Generative AI Innovation Center
The AWS Generative AI Innovation Center is committed to empowering clients to harness the capabilities of Generative AI for transformative business outcomes. Our team comprises machine learning scientists, engineers, architects, and strategists who work hand-in-hand with clients to craft tailored solutions utilizing generative AI.
As a Machine Learning Engineer, you will partner with both technical and business teams to create groundbreaking solutions that surpass client expectations. Your responsibilities will include direct engagement with clients and participation in pioneering projects that contribute to innovative technologies.
We are on the lookout for Engineers and Architects with a strong background in generative AI and various machine learning methodologies to design and implement advanced solutions for intricate challenges. If you are enthusiastic about applying AI to tackle unprecedented problems, we encourage you to connect with us.
Key Responsibilities:
- Collaborate with machine learning scientists and engineers to investigate, design, and develop state-of-the-art generative AI algorithms
- Work closely with clients to comprehend adoption trends for generative AI and disseminate insights across teams and leadership
- Engage directly with clients to understand their business challenges, assist in deploying generative AI solutions, conduct briefings and deep-dive sessions, and guide clients in the adoption of generative AI
- Create and deliver technical resources to facilitate the adoption of generative AI on the AWS platform
- Provide best practice recommendations, tutorials, blog posts, sample code, and presentations for technical, business, and executive audiences
- Relay client and market feedback to Product and Engineering teams to influence product strategy
About Our Team:
The Generative AI Innovation Center team collaborates with clients to pinpoint valuable use cases, select suitable models, navigate technical and business hurdles, develop proof-of-concepts, and strategize for the deployment of scalable solutions. We offer guidance on the responsible and cost-effective application of generative AI.
Requirements:
- Bachelor's degree in computer science, engineering, mathematics, or a related field
- Several years of professional software development experience
- Several years of design or architecture experience for both new and existing systems
- Proficiency in programming languages such as Python, R, Matlab, Java, or others
- Experience in developing and deploying large-scale machine learning or deep learning models in production environments
- Knowledge of deep learning and familiarity with frameworks like Pytorch and TensorFlow
Preferred Qualifications:
- Master's or PhD degree in computer science or related disciplines
- Practical experience in building applications with large foundation models
- Familiarity with AWS services including SageMaker, EMR, S3, DynamoDB, and EC2
- Strong communication skills with the ability to explain complex concepts to non-technical audiences
Join us at AWS, the premier cloud platform trusted by startups and Fortune 500 companies alike. At AWS, we prioritize work-life balance and foster a culture that champions inclusivity and diversity. Become part of a team dedicated to continuous learning and career advancement as we aim to be Earth's Best Employer.
