Machine Learning Engineer - HR BU
Machine Learning Engineer - HR BU
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Job Description
Team:
ServiceNows Skills Intelligence team is responsible for finding developing and using data from internal and external HR data to help improve the experience for our users and customers. From predicting finding new and trending skills to text mining hundreds of millions of textual documents.
The ideal candidate for this position is a machine learning engineer with a strong background in deploying and maintaining machine learning APIs and pipelines DevOps technologies data pipelines and strong passion for machine learning skills. The candidate must have a desire for working with large scale ML & data projects alongside a data science and analytics team. You will work in a fastpaced innovative environment that allows direct influence on the organization and all our customers. In this role you will support the data and machine learning infrastructure required for our skills intelligence platform.
What you get to do in this role:
- Collaborate with knowledgeable and advanced data science data analytics and data engineering teams to help our skillsintelligence initiatives and projects succeed.
- Write clean efficient and scalable code in Python Java and SQL.
- Become a subject matter expert in machine learning technology and associated DevOps tooling and providing curated insights in a timely manner involving model pipelines of various sizes and dependencies.
- Learn how to use the deployment and integration machine learning harnesses and technology stack that makes ServiceNow a leader in platform services and use that knowledge to move skills intelligence goals forward.
- Develop automation tools to facilitate and improve daytoday operations.
- Contribute and foster a collaborative work environment that encourages innovation creativity and continuous learning and improvement.
Qualifications :
To be successful in this role you have:
- Skilled with development using Python SQL and Java.
- Experience with AWS ML and DE tools such as Glue Lamba Batch ECS Athena Sagemaker etc.
- Desire to develop DE tools and support in an Infrastructureascode environment.
- Experience and desire to solve ML Engineering problems.
- Experience with data structures data formats and database technologies.
- Familiar with DevOps technologies such as Docker Kubernetes and Terraform.
- Strong problemsolving and analytical skills with an aptitude for learning new technologies developing and deploying missioncritical software.
- Eagerness to learn everything about the ServiceNow Platform.
- Desire to work closely alongside rapidly moving data science analytics and engineering teams.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
