Join Our Team as a Machine Learning and ML Ops Engineer at HP!

Job Summary:

At HP Inc., we're seeking a Machine Learning Operations Engineer to shape the future of AI-powered applications within our internal business frameworks. Focusing on advanced large language models, you will work alongside top-tier data scientists and engineers to push technological boundaries and streamline business processes. This role offers an exciting opportunity to also engage in scrum master and team coordination duties based on your career aspirations.

Key Responsibilities:

• Develop, manage, and scale machine learning models on leading cloud platforms like Azure, AWS, and GCP.
• Utilize MLOps best practices to boost efficiency and foster innovation across projects.
• Create and enforce machine learning governance frameworks to ensure model accuracy, fairness, and compliance.
• Architect robust ML infrastructure and workflows to support high-performing, scalable operations.
• Handle deployment and management of machine learning models using Kubernetes, Docker, and Apache Airflow.
• Collaborate with diverse teams to tackle complex technical issues and nurture continuous advancement.
• Maintain adherence to industry standards with an emphasis on security and data protection.

Requirements:

• Demonstrable expertise in MLOps, modern ML frameworks like TensorFlow, PyTorch, and data processing libraries such as pandas and NumPy.
• Advanced skill set in Python, containerization technologies, and DevOps tools including Git, Prometheus, and ELK stack.
• Strategic problem-solving abilities, excellent communication skills, and proficiency in English.

Nice to Have:

• Knowledge of security practices specific to ML deployments.
• Experience with ML orchestration platforms, such as MLflow or Kubeflow.

Education & Experience:

A Four-year or Graduate Degree in Computer Science, Information Systems, or related fields, partnered with 7-10 years of relevant professional experience, particularly in software development or IT engineering spheres, is recommended.

Impact & Scope:

The contributions of this role influence our functional teams significantly, offering leadership and expertise to project groups while potentially engaging in broad corporate initiatives.

What We Offer:

This is a full-time role with a competitive benefits package and no shift premiums, based in the United States of America. Travel is not required, and relocation is not provided. HP Inc. is committed to creating a diverse environment and is proud to be an equal opportunity employer.

Interested in advancing your career with HP while pushing the boundaries of technology and innovation in Machine Learning? Apply now to become part of our team!

HP Inc. is dedicated to fostering a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

For more information about HP's EEO Policy or your EEO rights as an applicant, please refer to .