Senior Machine Learning Engineer
1 month ago
The EngineeringUK Generative AI Innovation Center at AWS collaborates with customers to accelerate the adoption of Generative AI and unlock transformational business opportunities. As an ML Engineer, you will partner with technology and business teams to develop innovative solutions that meet customers' needs. You will work directly with customers to design, develop, and implement cutting-edge generative AI algorithms and solutions.
We are looking for skilled Engineers and Architects capable of using generative AI and other ML techniques to design, evangelize, and implement state-of-the-art solutions for real-world challenges.
Key Responsibilities
- Collaborate with ML scientists and engineers to research, design, and develop cutting-edge generative AI algorithms and solutions.
- Work with customers to understand their business needs and provide guidance on the adoption of generative AI.
- Create and deliver reusable technical assets to accelerate the adoption of generative AI on the AWS platform.
- Provide customer and market feedback to Product and Engineering teams to inform product direction.
- Bachelor's degree in computer science or equivalent.
- Professional experience in software development and machine learning.
- Experience with Python, R, Matlab, Java, or other modern programming languages.
- Several years of experience in developing and deploying large-scale machine learning or deep learning models and systems.
- Masters or PhD degree in computer science or related field.
- Proven knowledge of deep learning and experience with Python and frameworks such as PyTorch, TensorFlow.
- Hands-on experience with Generative AI and AWS services such as SageMaker, EMR, S3, DynamoDB, and EC2.
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