W-2 Open Positions Need to be Filled Immediately. Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed.
The following information provides an overview of the skills, qualities, and qualifications needed for this role.
Candidates encouraged to apply directly using this portal. We do not accept resumes from other company / third-party recruiters.
Job Overview
Job ID : J36993
Job Title : Machine Learning Engineer
Location : To Be Discussed Later
Duration : 6 Months
Domain Exposure : Banking & Finance, Insurance, Education
Work Authorization : W-2 (Consultant must be on our company payroll. C2C is not allowed)
Responsibilities
- Demonstrate up-to-date knowledge in software engineering practices and provide solutions for the development, implementation, scaling, execution, validation, monitoring, and improvement of data science solutions.
- Collaborate with Data Engineers and Data Scientists to build data and model pipelines and help in running machine learning tests and experiments.
- Manage the infrastructure and data pipelines needed to bring ML solutions to production.
- Demonstrate end-to-end understanding of applications, including machine learning algorithms, being created and maintain scalable machine learning solutions in production.
- Abstract complexity of production for machine learning through the use of containers.
- Troubleshoot production machine learning model issues, including recommendations for retraining, re-validation, and improvements.
- Experience with Big Data Projects using multiple types of structured and unstructured data.
- Ability to work with a global team, playing a key role in communicating problem context to remote teams.
ROBOTIC PROCESS AUTOMATION 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.
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