As a Deep Learning Architect at the AWS Generative AI Innovation Center, you will work alongside a team of machine learning scientists, engineers, and strategists to develop and implement advanced generative AI solutions for AWS customers. This role presents a unique opportunity to work directly with customers and be at the forefront of shaping Generative AI technologies that are transforming industries.
Key Responsibilities
- Collaborate with ML scientists and engineers to design, develop, and implement Generative AI algorithms that solve critical business problems for AWS customers.
- Work on innovative projects involving transformers, generative adversarial networks (GANs), autoregressive models, and other cutting-edge AI technologies.
- Lead the development of bespoke AI models tailored to the needs of customers across industries such as healthcare, finance, retail, and more.
- Interact directly with customers to understand their business needs and provide guidance on integrating Generative AI solutions into their operations.
- Conduct in-depth technical briefings and workshops with both technical and non-technical stakeholders to ensure customers can successfully adopt generative AI in production environments.
- Provide expert advice on productionizing AI models and guide customers through deployment, scaling, and optimization strategies.
- Produce technical resources such as tutorials, best practice recommendations, sample code, white papers, and blog posts to accelerate the adoption of Generative AI on the AWS platform.
- Contribute to internal knowledge-sharing by creating reusable assets that can be leveraged by other teams and clients.
- Present innovative ideas and solutions through conference presentations, webinars, and training sessions for customers and internal teams.
- Stay on the cutting edge of Generative AI advancements, conducting original research and contributing to academic publications and industry papers.
- Lead discussions and thought leadership in the field by publishing findings and presenting at industry conferences.
- Provide feedback to AWS product and engineering teams, influencing the development of new tools, frameworks, and services within AWS’s AI ecosystem.
- Work closely with AWS product teams, business units, and customers to create next-generation solutions using Generative AI.
- Ensure seamless collaboration between cross-functional teams, including engineering, data science, and business strategy.
Basic Qualifications
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or related technical field.
- Significant experience (5+ years) in designing and developing deep learning models and AI solutions, including the use of Generative AI algorithms and architectures.
- Proven experience in deploying AI/ML models at scale, with a deep understanding of the end-to-end model development lifecycle, including training, optimization, and inference.
- Expertise in working with AI frameworks like TensorFlow, PyTorch, and other deep learning platforms.
- Strong background in cloud computing, with hands-on experience using AWS services like SageMaker, Lambda, EC2, S3, and others to host and manage machine learning models.
- Solid understanding of cloud-native architectures and the ability to design scalable AI/ML solutions on the cloud.
- Exceptional communication skills, with the ability to interact and engage with both technical and non-technical stakeholders.
Preferred Qualifications
- Master's or PhD in Computer Science, Engineering, Mathematics, or a related technical field.
- Expertise in Generative AI techniques such as GANs, Transformers, Deep Reinforcement Learning, and Large Language Models.
- Hands-on experience in building large-scale AI models and deploying them on cloud platforms (specifically AWS).
- Experience with the AWS AI/ML tools and frameworks, including SageMaker, Deep Learning AMIs, Rekognition, and Lex.
- Track record of publications, patents, or contributions to AI research in the domain of Generative AI.
- Experience with DevOps practices for AI/ML workloads, including continuous integration and deployment (CI/CD) pipelines.
Why AWS?
- Innovation at Scale. At AWS, you’ll have the opportunity to work on ground-breaking AI projects that can impact industries across the globe.
- Global Impact. Join an organization that is not just an industry leader but also deeply committed to customer success, innovation, and transformational solutions.
- Diversity & Inclusion. AWS fosters a culture of inclusion where different perspectives are valued and diversity is embraced.
- Career Growth & Mentorship. AWS provides abundant career development opportunities, mentorship, and a platform for thought leadership. You'll have access to various resources to enhance your skills and grow in your career.
- Work-Life Balance. AWS believes in work-life harmony and offers flexibility to support personal and professional success.
Diversity & Inclusion at AWS. At AWS, we embrace diversity in all its forms and foster an environment where everyone can bring their authentic self to work. We are committed to creating a workplace that’s inclusive, supportive, and empowering, with a strong focus on continuous learning.
How to Apply. If you're a Generative AI expert with a passion for problem-solving, cloud technologies, and innovative solutions, we invite you to apply for this exciting opportunity at AWS.
- Eligibility. Emirati nationals only
- Job ID. A2667580