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- Tasks: Design and implement cutting-edge generative AI solutions for real-world challenges.
- Company: Join Amazon's innovative team at the Generative AI Innovation Center in Dubai.
- Benefits: Enjoy a dynamic work environment with opportunities for growth and collaboration.
- Why this job: Be part of groundbreaking projects that shape the future of AI technology.
- Qualifications: Bachelor's or Master's degree with experience in AI/ML and programming skills required.
- Other info: Emirati nationals are encouraged to apply; diverse and inclusive workplace.
The predicted salary is between 36000 - 60000 £ per year.
Data Scientist, AWS Generative AI Innovation Center
Job ID: 2816978 | Amazon Web Services EMEA Dubai FZ Branch – Q29
Amazon launched the Generative AI Innovation Center (GenAIIC) in June 2023 to help AWS customers accelerate the use of generative AI to solve business and operational problems and promote innovation in their organization. This is a team of strategists, data scientists, engineers, and solution architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI.
We’re looking for Data Scientists capable of using generative AI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.
Emirati national is required.
Key job responsibilities
As a Data Scientist, you will:
- Collaborate with AI/ML scientists, engineers, and architects to research, design, develop, and evaluate cutting-edge generative AI algorithms to address real-world challenges.
- Interact with customers directly to understand the business problem, help and aid them in the implementation of generative AI solutions, deliver briefing and deep dive sessions to customers, and guide customers on adoption patterns and paths to production.
- Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholders.
- Provide customer and market feedback to Product and Engineering teams to help define product direction.
About the team
The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select and train or fine-tune the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The Generative AI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost-efficiently.
BASIC QUALIFICATIONS
- Bachelor\’s degree or Master\’s degree with several years of experience.
- Several years of experience building models for business applications.
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, neural deep learning methods, and/or machine learning.
- Experience in using Python and hands-on experience building models with deep learning frameworks like TensorFlow, Keras, PyTorch, MXNet.
PREFERRED QUALIFICATIONS
- PhD or Master\’s degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field.
- Practical experience in solving complex problems in an applied environment.
- Hands-on experience building models with deep learning frameworks like PyTorch, TensorFlow, or JAX.
- Prior experience in training and fine-tuning of Large Language Models (LLMs).
- Knowledge of AWS platform and tools.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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Data Scientist, AWS Generative AI Innovation Center employer: Amazon
Contact Detail:
Amazon Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist, AWS Generative AI Innovation Center
✨Tip Number 1
Familiarise yourself with the latest trends in generative AI and AWS tools. Being well-versed in these areas will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the field of data science and generative AI. Attend relevant meetups, webinars, or conferences to connect with potential colleagues and learn about the latest innovations that could be beneficial for your application.
✨Tip Number 3
Prepare to discuss specific projects where you've applied machine learning techniques. Be ready to explain your thought process, the challenges you faced, and how you overcame them, as this will demonstrate your problem-solving skills.
✨Tip Number 4
Showcase your ability to communicate complex technical concepts to non-technical stakeholders. This is crucial for the role, so think of examples where you've successfully done this in the past, as it will highlight your versatility.
We think you need these skills to ace Data Scientist, AWS Generative AI Innovation Center
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly with generative AI and machine learning. Use keywords from the job description to demonstrate that you meet the qualifications.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for generative AI and your understanding of its applications. Mention specific projects or experiences that align with the responsibilities outlined in the job description.
Showcase Technical Skills: In your application, emphasise your proficiency in Python and any deep learning frameworks you've used, such as TensorFlow or PyTorch. Provide examples of how you've applied these skills in real-world scenarios.
Demonstrate Problem-Solving Ability: Include examples of complex problems you've solved in previous roles, especially those related to data science and AI. Highlight your analytical thinking and how you approached these challenges.
How to prepare for a job interview at Amazon
✨Understand Generative AI
Make sure you have a solid grasp of generative AI concepts and how they apply to real-world problems. Be prepared to discuss specific algorithms and techniques you've worked with, as well as their practical applications.
✨Showcase Your Collaboration Skills
Since the role involves working closely with AI/ML scientists and customers, highlight your experience in collaborative projects. Share examples of how you've successfully worked in teams to solve complex problems.
✨Prepare for Technical Questions
Expect technical questions related to algorithms, data structures, and machine learning frameworks like TensorFlow or PyTorch. Brush up on your knowledge and be ready to demonstrate your problem-solving skills through coding challenges or case studies.
✨Communicate Effectively
You'll need to explain complex concepts to various stakeholders. Practice articulating your thoughts clearly and concisely, and prepare to present your ideas in a way that resonates with both technical and non-technical audiences.
