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Data Management AI/Machine Learning Automation Engineer
Job summary
New York
Work model
Fully remote
Only United States
Job description
Responsibilities:
You will design, and lead build-out of software solutions to automate data management processes. As an experienced, hands-on-engineer, you will be well-versed in industry best practices and practitioner of modern software engineering principles.
- Meet with business & operations leaders. Analyze business processes & workflows, break down processes and create software solutions to automate and streamline processes.
- Design software solutions in a collaborative manner with business & operations, justify choices and create business cases for projects.
- Build automation software using appropriate mix of programming languages (Java, C#, Python etc.) and off-the-shelf RPA tools such as UiPath, Kofax, and Automation Anywhere
- Mentoring & providing technical guidance to team members.
Required
- Excellent software engineering skills with expertise in one of the following: Python or Java, REST APIs, microservices (5 years)
- Experience in SRE/DevOps discipline and tools, automation frameworks, building CI/CD pipelines, production monitoring, capacity management, security and authentication (3 years)
- Experience with development & operations in cloud native technologies (GCP, AWS, Azure) (3 years)
- Excellent scripting skills with Python or JavaScript (3 years)
- Broad knowledge of open-source libraries & packages.
- Experience with OCR technology
- Experience with AI/ML technology
Education
- Bachelors degree in Engineering, Computer Science, Information Technology or related discipline or significant industry experience.
- Excellent communications and organization skills.
Preferred
- Experience with variety of RPA automation tools such as UiPath, Kofax, and Automation Anywhere
- Experience with legacy systems and integration & migration of these systems into more modern frameworks.
Lori Sklarski Senior Technical Recruiter PRI Technology P: 973.732.5454 x27 C: 973.432.9968 F: 973.732.5456 [email protected]