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London, Greater London, United Kingdom AWS EMEA SARL (UK Branch) - F93 Full timeAbout the RoleWe are seeking a highly skilled Deep Learning Architect to join our Generative AI Innovation Center team at AWS EMEA SARL (UK Branch) - F93. As a key member of our team, you will play a critical role in designing and developing cutting-edge generative AI algorithms to address real-world challenges.Key ResponsibilitiesCollaborate with ML...
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London, Greater London, United Kingdom AWS EMEA SARL (UK Branch) - F93 Full timeAbout the RoleWe are seeking a highly skilled Deep Learning Architect to join our Generative AI Innovation Center at AWS. As a key member of our team, you will be responsible for designing and developing cutting-edge generative AI algorithms to address real-world challenges.Key ResponsibilitiesCollaborate with ML scientists and engineers to research and...
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London, Greater London, United Kingdom AWS EMEA SARL (UK Branch) - F93 Full timeAbout the RoleThe Generative AI Innovation Center at AWS EMEA SARL (UK Branch) - F93 is seeking a highly skilled Deep Learning Architect to join our team. As a key member of our innovation team, you will be responsible for designing and developing cutting-edge generative AI algorithms to address real-world challenges.Key Responsibilities- Collaborate with ML...
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London, Greater London, United Kingdom AWS EMEA SARL (UK Branch) - F93 Full timeAbout the RoleThe Generative AI Innovation Center at AWS EMEA SARL (UK Branch) - F93 is seeking a talented Deep Learning Architect to join our team. As a key member of our cross-functional team, you will work closely with ML scientists, engineers, and strategists to build bespoke solutions that harness the power of generative AI for our customers.As a Deep...
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London, Greater London, United Kingdom AWS EMEA SARL (UK Branch) Full timeJob DescriptionThe Generative AI Innovation Center at AWS EMEA SARL (UK Branch) helps customers accelerate the use of Generative AI and realize transformational business opportunities. This cross-functional team of ML scientists, engineers, architects, and strategists works closely with customers to build bespoke solutions that harness the power of...
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Generative AI Solutions Architect, AWS Innovation Center
3 months ago
Join the Leading Edge of AI and Machine Learning
Are you passionate about leveraging advanced Machine Learning and AI technologies? The AWS Generative AI Innovation Center is a pioneering team dedicated to assisting AWS clients in deploying Generative AI solutions that drive significant business transformation. Our team comprises strategists, data scientists, engineers, and solution architects who collaborate closely with clients to create tailored solutions that harness the potential of generative AI.
We guide clients in envisioning and defining use cases that deliver maximum value, selecting and optimizing models, navigating technical and business hurdles, developing proof-of-concept projects, and strategizing for large-scale solution deployment. The GenAI Innovation Center emphasizes best practices for the responsible and efficient application of generative AI.
In this role, you will engage directly with clients and innovate within a dynamic organization that contributes to groundbreaking projects and technologies. You will design and conduct experiments, explore new algorithms, and discover innovative methods to enhance risk management, profitability, and customer satisfaction.
Key Responsibilities:
- Architect and implement state-of-the-art solutions for complex challenges using ML and Generative AI.
- Collaborate with clients to understand their needs and develop customized AI strategies.
- Research and develop new algorithms to improve existing models and processes.
- Communicate effectively with both technical and non-technical stakeholders.
Basic Qualifications:
- Bachelor's degree in Computer Science or a related technical field (or equivalent experience).
- A minimum of 5 years of experience in designing and operating large-scale enterprise IT systems.
- At least 3 years of experience with public cloud computing, particularly AWS.
- Experience in deploying ML solutions for training, fine-tuning, and inference.
- Proficiency in programming languages such as Python, R, Matlab, or Java.
Preferred Qualifications:
- Master's or PhD in computer science or a related field.
- In-depth knowledge of deep learning, machine learning, and generative AI.
- Hands-on experience with deep learning frameworks like TensorFlow, MXNet, or similar.
- A strong drive to achieve results in a fast-paced environment.
Amazon's Commitment:
Amazon is dedicated to fostering a diverse and inclusive workplace. We are an equal opportunity employer and do not discriminate based on race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or any other legally protected status.
