Overview
On Site
$60 - $70
Full Time
No Travel Required
Able to Provide Sponsorship
Skills
Sagemaker
Cloudformation
Lambda
Glue
Python
Dynamo
Job Details
Strictly W2
Location : Malvern, PA or Plano, Texas
Responsibilities
- The contractor will be a bridge between the Data Science user community and the Model Development Platform team.
- The candidate should have great communication skills in order to properly guide platform users and platform maintainers towards appropriate Machine Learning and AI solutions.
- Demonstrate proficiency in the Model Development Lifecycle and effectively communicate with Data Scientists and platform maintainers to steer them towards suitable Machine Learning and AI solutions.
- Evaluate AI/ML tools for enterprise readiness, collaborating with Data Scientists to conduct experiments and load testing during the evaluation phase.
- Collaborate closely with Data Scientists to understand their needs and provide infrastructure and tools that streamline model development and deployment processes.
Qualifications
Skillset and Technologies:
Model Development Lifecycle stages: Data Preparation, Training, Eval,
Hosting and Monitoring.
AI/ML concepts: Supervised learning, unsupervised learning, deep
learning, and model evaluation techniques.
Core AWS: Sagemaker, Cloudformation, Lambda Functions, IAM
Additional AWS Services: Dynamo, Glue
Programming Languages: Python
Nice to have:
AWS Certified Machine Learning Specialist
Perks n Benefits
• Health, Dental, Vision insurance contribution from employer
• 2 weeks of vacation
• Client holidays paid, up to 2 weeks
• 401k support
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.