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- Tasks: Join a team to innovate with Generative AI and solve real-world challenges.
- Company: Be part of AWS's Generative AI Innovation Center, leading in AI solutions.
- Benefits: Work on impactful projects with cutting-edge technology and a collaborative team.
- Why this job: Shape the future of AI while working directly with customers and industry leaders.
- Qualifications: Master's degree in a quantitative field and experience with machine learning models required.
- Other info: Diversity is valued; Amazon is committed to equal opportunities.
The predicted salary is between 43200 - 72000 £ per year.
Senior Data Scientist, Generative AI Innovation Center
DESCRIPTION
Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting edge 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.
We’re 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 scientists 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.
BASIC QUALIFICATIONS
- Master’s degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science.
- Relevant experience in building large scale machine learning or deep learning models.
- Experience communicating across technical and non-technical audiences.
- Experience in using Python and hands-on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet.
- Fluency in written and spoken English.
PREFERRED QUALIFICATIONS
- PhD degree in Computer Science, or related technical, math, or scientific field.
- Proven knowledge of Generative AI and hands-on experience of building applications with large foundation models.
- Proven knowledge of AWS platform and tools.
- Hands-on experience of building ML solutions on AWS.
- High impact thought leadership in AI/ML space through blog posts, public presentations, social media visibility, or publications.
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.#J-18808-Ljbffr
Senior Data Scientist, Generative AI Innovation Center employer: ENGINEERINGUK
Contact Detail:
ENGINEERINGUK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist, Generative AI Innovation Center
✨Tip Number 1
Familiarize yourself with the latest advancements in Generative AI. Follow industry leaders and read up on recent publications to understand the current trends and challenges in the field. This knowledge will help you engage in meaningful conversations during interviews.
✨Tip Number 2
Showcase your hands-on experience with deep learning frameworks like TensorFlow, Keras, or PyTorch. Be prepared to discuss specific projects where you've implemented these technologies, as practical experience is highly valued in this role.
✨Tip Number 3
Highlight your ability to communicate complex technical concepts to non-technical audiences. Prepare examples of how you've successfully bridged the gap between technical teams and business stakeholders in past roles.
✨Tip Number 4
Engage with the AWS community and participate in relevant forums or events. Networking with professionals in the field can provide insights into the company culture and may even lead to referrals for the position.
We think you need these skills to ace Senior Data Scientist, Generative AI Innovation Center
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your experience in building large scale machine learning or deep learning models. Include specific projects or achievements that showcase your skills in generative AI and the tools mentioned in the job description.
Showcase Communication Skills: Since the role involves interacting with both technical and non-technical audiences, provide examples of how you've successfully communicated complex concepts in previous roles. This could include presentations, tutorials, or blog posts.
Tailor Your CV and Cover Letter: Customize your CV and cover letter to reflect the key responsibilities and qualifications listed in the job description. Use keywords from the posting to ensure your application aligns with what the company is looking for.
Demonstrate Thought Leadership: If you have any publications, blog posts, or public presentations related to AI/ML, be sure to mention them. This will help demonstrate your expertise and passion for the field, which is highly valued for this position.
How to prepare for a job interview at ENGINEERINGUK
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with machine learning and generative AI algorithms in detail. Highlight specific projects where you've built large-scale models using frameworks like TensorFlow or PyTorch, and be ready to explain the challenges you faced and how you overcame them.
✨Understand the Business Context
Since this role involves direct interaction with customers, demonstrate your ability to translate complex technical concepts into business solutions. Prepare examples of how you've previously engaged with stakeholders to understand their needs and deliver impactful AI solutions.
✨Prepare for Problem-Solving Scenarios
Expect to tackle real-world problems during the interview. Practice explaining your thought process when designing experiments or optimizing models. Use the STAR method (Situation, Task, Action, Result) to structure your responses effectively.
✨Demonstrate Thought Leadership
If you have published blog posts, given presentations, or contributed to discussions in the AI/ML community, be sure to mention these experiences. This shows your passion for the field and your commitment to staying at the forefront of technology.
