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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.
Description
Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center at AWS is a new strategic team that helps AWS customers implement Generative AI solutions and realize transformational business opportunities. 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.
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.
Weu2019re looking for ML Data Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.
Key job responsibilities
As an ML Data Scientist, you will
* Collaborate with ML scientist and architects to Research, design, develop, and evaluate generative AI algorithms to address real-world challenges
* Interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customer 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 stakeholder
* 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 the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently.
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasnu2019t followed a traditional path, or includes alternative experiences, donu2019t let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the worldu2019s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating u2014 thatu2019s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, thereu2019s nothing we canu2019t achieve in the cloud.
Inclusive Team Culture
Here at AWS, itu2019s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship and Career Growth
Weu2019re continuously raising our performance bar as we strive to become Earthu2019s Best Employer. Thatu2019s why youu2019ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Basic Qualifications
– Experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance
– Experience applying theoretical models in an applied environment
– Experience working as a Data Scientist
– Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)
Preferred Qualifications
– Experience in Python, Perl, or another scripting language
– Experience in a ML or data scientist role with a large technology company
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region youu2019re applying in isnu2019t listed, please contact your Recruiting Partner.
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.
