AI/ML Engineer

About HireRight

HireRight is the premier global background screening and workforce solutions provider. We bring clarity and confidence to vetting and hiring decisions through integrated, tailored solutions, driving a higher standard of accuracy in everything we do. Combining in-house talent, personalized services, and proprietary technology, we ensure the best candidate experience possible. PBSA accredited and based in Nashville, TN, we offer expertise from our regional centers across 200 countries and territories in The Americas, Europe, Asia, and the Middle East. Our commitment to get it right every time, everywhere, makes us the trusted partner of businesses and organizations worldwide.

Responsibilities

• Develop AI technologies that integrate with our human processes
• Use transfer learning to tune models to our use cases
• Meet regularly with our legal team and data governance personnel to ensure that our AI/ML models adhere to the highest standards of fairness and privacy
• Manage data ingestion processes, oversee labeling efforts, and monitor data quality to support your own machine learning models
• Proactively identify model failure cases and identify new approaches for improving our machine learning models
• Continued education about the latest machine learning algorithms, techniques, and technologies. Data science team members are strongly encouraged to take courses, obtain professional certifications, and attend industry conferences
• Stand up MVPs for web-based internal tools and external customer-facing features
• Develop APIs and/or additional endpoints as necessary to power your frontend features
  
  

Qualifications

• You have 4+ years of experience as a machine learning engineer or scientist, deploying models in production at scale
• All applicants must have professional experience building and deploying AI/ML based software to a cloud environment
• The successful candidate will have basic academic training (self-taught or otherwise) of the theory underlying neural architectures
• Proficiency in Python and python-based AI/ML frameworks, installing packages from PyPI, and debugging common problems using online resources
• Ability to create large software projects that are organized, well-structured, thoughtfully documented, and automatically tested
• Experience deploying machine learning models to production, including monitoring, alerting, automatic bug filing and auditing
• Experience deploying docker
• Experience debugging and modifying forked libraries
• Working knowledge of deploying ML pipelines in Azure, GCP or AWS.
• Familiarity latest models coming out of academia and domain leaders
• Some familiarity with web frameworks such as Flask, or FastAPI
• Applicants should have strong core coding skills, passion for software quality, improving the design/development process, and building highly available systems
• Experience with Object Oriented design (OOP)
• Experience with a Relational Database Management System (Postgres, SQL, Oracle, etc)
• Modern development patterns and platforms (Microservices, Web Services (REST)
  
  

What Do We Offer

Please submit resume/CV in English.

All resumes are held in confidence. Only candidates whose profiles closely match requirements will be contacted during this search.

HireRight does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of HireRight and HireRight will not be obligated to pay a placement fee.