(KRH680) | Ai/Ml Engineer

(KRH680) | Ai/Ml Engineer

12 feb
|
Hireright
|
Xico

12 feb

Hireright

Xico

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 features

Work 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.
- Food Voucher + Meal Bonus
- Generous Vacation Program
- Monthly Transportation Allowance / Payment of Teleworking Expenses
- Insurance for major medical expenses
- Business Casual Attire
- Generous Referral Program
- Professional Growth.
LI-REMOTE

El anuncio original lo puedes encontrar en Kit Empleo:
https://www.kitempleo.com.mx/empleo/140117872/krh680-engineer-xico/?utm_source=html

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