.Overview:Qualifications:Role Requirements- 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- 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 swarms- Experience debugging and modifying forked libraries- Working knowledge of deploying ML pipelines in GCP- 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)**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 featuresWork wherever!
The location of this role is flexible.
You will receive fair financial compensation and receive a training plan to get you on board quickly from day one.
In addition, you will have the opportunity to join our team of 3,000+ Team Members that work in 15 countries, serving clients in 200+ countries and territories.
Many of our Team Members have been with Hire Right for a long time.
But that's not all, you will get additional benefits like:- Christmas Bonus- Additional Holidays: Holy Thursday & Friday, Mother's Day, Day of the Dead, Virgin of Guadalupe, and Christmas Eve