Description -

At HP, we understand the unique challenges faced by military personnel transitioning to civilian life. Our Military Bridge program, in partnership with Hiring for Heroes, offers a tailored 12-week curriculum to equip those transitioning out of active duty with the skills and support needed for successful transition their careers.

Duration: August 26- November 14, 2024

About the opportunity:

As a Machine Learning Engineer you will develop AI-powered software applications, especially internal business applications. You will work closely with product managers, business stakeholders, data scientists and other software engineers to design, develop, and implement cutting-edge machine learning models that are properly trained, validated, and optimized for performance.  Below is a description of responsibilities, but this role will require the flexibility to adapt to other duties and responsibilities as needed.

Responsibilities:

• Lead the production efforts of AI/ML solutions: architect systems that enable and ensure successful deployments, monitoring, and maintenance of ML models in production
• Work closely with the project team (project lead, data scientists, other engineers) and with business stakeholders to understand requirements and design an AI/ML solution accordingly
• Hands-on development of MLOps infrastructure, e.g. coding or configuring pipelines for data processing, model training, evaluation, and inference; version control; feature stores; and model stores.
• Monitor and maintain ML models in production, troubleshooting issues where needed
• Provides subject matter expertise to the rest of the team, e.g. proactively looking for opportunities to streamline the solution development process and teaching team members to use new processes or tooling
• Provides guidance and mentoring to less-experienced team members in the same function

Experience and skills needed:

• Prior MLOps experience: deploying, monitoring, and maintaining AI/ML applications in production
• Prior experience creating and maintaining machine learning modeling infrastructure to enable data scientists
• Prior experience training and evaluating machine learning models
• Proficient in Python for developing production applications
• Prior experience working in a distributed team with diverse backgrounds is a plus.  Ability to engage in discussions in a respectful manner is a must.
• In this team we value a start-up mindset and initiative-taking to deliver to our internal customers. The ideal candidate will have experience from a fast-moving SaaS start-up in addition to experience from a large complex organization.
• Technologies you may use include: AzureML services, Databricks, SQL, Docker, CI/CD

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Equal Opportunity Employer (EEO) - 

HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).

Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

If you’d like more information about HP’s EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law – Supplement