Ml Engineer, Entry
hace 1 mes
**The Company**:
**Position Background**:
In the GMT Advanced Analytics organization our mission is to deliver impact by building machine learning products to optimize pricing and marketing investments and provide guidance to HP's commercial sales organizations.
Our team consists of a diverse global team of economists, statisticians, data scientists, data engineers, software engineers, DevOps, and MLOps engineers, who are pushing the innovation frontier to bring new insights to our business.
Working with us you will use your Software Development best practices to deliver ML models to a production environment at scale.
Please note that it's **a fixed-term role with a 12 month contract**. Extension to permanent position is possible but not guarantee.
**Responsibilities**:
- Work with software engineers to understand systems and craft interfaces to models for deployment
- Validate and optimize machine learning models, possibly utilizing new model architectures, optimization techniques or objective functions
**Job Requirements**:
- Fluent in the Python language
- Knowledge of Computer Science and Engineering Principles including algorithms, data structures, software architecture and design
- Knowledge in CI/CD pipelines, i.e., GitHub actions, and GitHub workflows
- Ability to work independently under a fast-paced environment and deliver results under pressure
- Advanced verbal and written communication skills
- Bachelor or Master's degree in Computer Science
- Curiosity, a methodical approach and the ability to be a self-starter
**Who We Are**
At HP, we believe in the power of ideas. We use ideas to put technology to work for everyone. And we believe that ideas thrive best in a culture of teamwork. That is why everyone - at every level in every function, is encouraged to think big, have original ideas and express and share them. We trust anything can be achieved if you really believe in it, and we will invest in your ideas to change lives and the way people work. This vision is what sets us apart as a company. At HP, we work across borders and without limits. Global virtual teams share resources, pool their big ideas to solve our biggest business opportunities. Everyone is valued for the unique skills, experiences, and perspective they bring. That is how we work at HP. And this is how ideas and people grow.
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