Amazon Web Services, Inc.
Project/Program/Product Management--Technical, Science, Cloud Computing
DataScientist,DataandMachineLearning,WWPSUSFederal
“Data Scientist, Data and Machine Learning, WWPS US Federal at Amazon Web Services, Inc.. Skills: Data Science, Machine Learning, Generative AI, MLOps. Research AI algorithms. Design AI algorithms”
Industry & Context.
Data challenges; Business problem
TS/SCI with Polygraph, Opt into clearance, 25% local travel
What They're Looking For.
Must Have
Bachelor's degree in Computer Science, 3+ years experience migrating capabilities, 3+ years experience building models, Professional experience applying data science, Experience with algorithms, Experience with data structures, Experience with parsing, Experience with numerical optimization, Experience with data mining, Experience with parallel computing, Experience with distributed computing, Experience with high-performance computing, Experience with neural deep learning, Experience with machine learning, Active TS/SCI Security Clearance with polygraph
Nice to Have
Masters or PhD Degree, Experience using Python, Hands on experience building models with deep learning frameworks, Experience building applications leveraging GenAI
What You'll Do.
Research AI algorithms
Develop AI algorithms
Evaluate AI algorithms
Design Machine Learning Operations pipelines
Construct Machine Learning Operations architectures
Interact with customers
Understand business problem
Aid customers in implementation
Deliver briefing sessions
Deliver deep dive sessions
Guide customer on adoption patterns
Guide customer on paths to production
Create best practice recommendations
Deliver best practice recommendations
Deliver presentations
How You'll Work.
Team & Collaboration
AI/ML Scientists; Architects; AWS organization; Product teams; Engineering teams; Customers
Communication Scope
Business acumen; Communication skills; Stakeholder collaboration; Develop business questions; Translate requirements; Briefing sessions; Deep dive sessions; Best practice recommendations; Tutorials; Blog posts; Sample code; Presentations
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