Machine Learning Engineer
12 hours ago
W-2 Open Positions Need to be Filled Immediately. Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed.
Candidates encouraged to apply directly using this portal. We do not accept resumes from other company/third-party recruiters.
Job OverviewJob ID: J36993
Specialized Area: Machine learning
Job Title: Machine Learning Engineer
Location: To Be Discussed Later
Duration: 6 Months
Employment Type: W-2 (Consultant must be on our company payroll. C2C is not allowed)
Responsibilities- Builds and supports machine learning model deployment solutions that provide value to the business.
- Optimize machine learning model for deployment, including hyper-parameter tuning automation, scalability, and distributed learning.
- Demonstrates up-to-date expertise in software engineering practices and applies this to the development, execution, and improvement of machine learning models.
- DevOps practices for continuous integration and continuous delivery of machine learning models.
- Work with a wide variety of models, including text analytics, natural language processing, and computer vision models.
- Build solutions that optimize data science and analytic workflows.
- Assists in providing computer science related guidance.
- Develop and support strategic enhancements to machine learning operations that support data science.
- Participate in research to maximize code and model reusability.
CLOUD ANALYTICS TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. CLOUD ANALYTICS TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters.
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