Data Scientist, AI and Machine Learning, Cloud Computing Expert

16 hours ago

St Louis, Missouri, United States Amazon Full time
About the Role

We are seeking a highly skilled Data Scientist to join our team at Amazon Web Services (AWS). As a Data Scientist, you will play a key role in helping our customers understand, plan, and implement best practices around leveraging Generative AI and NLP within their AWS cloud environments.

You will work closely with customers to deeply understand their data challenges and requirements, and design tailored solutions that best fit their use cases. You should have deep expertise in NLP/NLU, Generative AI, and building data-intensive applications at scale.

Key Responsibilities:

  • Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate cutting-edge Generative AI solutions 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.
  • Provide expertise and guidance in Generative AI and document processing infrastructure, design, implementation, and optimization.
  • Maintain domain knowledge and expertise in Generative AI, NLP, and NLU.
  • Architect and build large-scale solutions.
  • Build technical solutions that are secure, maintainable, scalable, reliable, performant, and cost-effective.
  • Identify and prepare metrics and reports for the internal team and for customers to delineate the value of their solution to the customer.
  • Identify, mitigate and communicate risks related to solution and service constraints by making technical trade-offs.
  • Participate in growing their team's skills and help mentor internal and customer team members.
  • Provide guidance on the people, organizational, security and compliance aspects of AI/ML transformations for the customer.

About Amazon

Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.

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, there's nothing we can't achieve in the cloud.

We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Basic Qualifications:

  • Bachelor's degree and 5 years of experience or Master's degree and 2 years of experience
  • 5+ years of data scientist experience including 5+ years of programming in a scripting language (e.g. Python, JavaScript) and 3+ years deploying, operating, and maintaining machine learning models
  • 3+ 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

Preferred Qualifications:

  • PhD or Masters 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

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $125,500/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience.

Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.

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