Overview
On Site
Full Time
Part Time
Accepts corp to corp applications
Contract - Independent
Contract - W2
Skills
Employment Authorization
Machine Learning Operations (ML Ops)
Python
Scripting
Big Data
Real-time
Streaming
Cloud Computing
Amazon Web Services
Amazon SageMaker
Algorithms
Machine Learning (ML)
Collaboration
Data Engineering
Snow Flake Schema
OSI
Network
Data Science
Job Details
Hiring: W2 Candidates Only
Location: USA
Visa: Open to any visa type with valid work authorization in the USA
Requirements and Expectations:
- 7+ years in data science or related field, 3+ years of hands-on experience in machine learning operations.
- Proven track record of implementing and scaling models in an operations or customers focused company
- Strong programming skills: Python and Cloud Implementation Scripting
- Experience with big data, real-time streaming data technologies, and cluster computing environments.
- Knowledge and exposure to cloud technologies, especially AWS.
- Implement data science algorithms in ML Studio SageMaker.
- Create systems and processes to monitor performance of ML algorithms in production.
- Serve as the subject matter expert of ML Operations and guides data scientists in the practical implications of model design
- Collaborate with the data engineering team to build and maintain data pipelines from systems like Snowflake and OSI Pi
- Partner with our Architecture team to ensure endpoints, compute, and network considerations are built into solutions
- Takes initiative and stays up to date with the latest data science trends, techniques, and best practices, determining how to incorporate the most suitable practices in the department.
- Work as part of geographically dispersed team, effectively communicating prioritized business needs and prioritized project statuses.
- Design systems to balance cost and performance to meet business outcomes
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.