Amazon Web Services (AWS) · 2 days ago
Sr. Data Scientist, ProServe GenAI
Wonder how qualified you are to the job?
ComputerConsulting
Insider Connection @Amazon Web Services (AWS)
Responsibilities
Collaborate with AI/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 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
Qualification
Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.
Required
Bachelor's degree and 8 years of experience or Master's degree and 4 years of experience
5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
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
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 with deep learning (e.g., CNN, RNN, LSTM, Transformer)
Prior experience in training and fine-tuning of Large Language Models (LLMs)
Benefits
Medical benefits
Financial benefits
Company
Amazon Web Services (AWS)
Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing.
Funding
Current Stage
Late StageLeadership Team
Recent News
2024-06-01
Company data provided by crunchbase