ML Ops Engineer / Lead

Hewlett Packard Enterprise; Roseville (CA); On-site; USD 113,000 - 259,500; Full time

Benefits offered by this job

Health and wellbeing benefits

Personal and professional development programs

Diversity and inclusion initiatives

Job summary

Hewlett Packard Enterprise is seeking an experienced MLOps/DevOps Engineer to manage and optimize machine learning operations crucial to our AI strategy. The role emphasizes collaboration with data scientists for seamless ML model integration into production environments.

The ideal candidate will have over 5 years of relevant experience, strong skills in building ML pipelines, and a passion for leveraging technology to address real-world challenges. We offer a supportive work culture and comprehensive benefits to enhance your professional growth.

Qualifications

• 5+ years of experience in ML Ops or a related field.
• Proven track record of building and managing ML pipelines.
• Solid programming skills in Python or another scripting language.

Responsibilities

• Oversee and manage the build and maintenance of robust ML pipelines.
• Design and implement automated workflows for data ingestion and model training.
• Collaborate with data scientists to integrate ML models into production environments.

Skills

ML Ops expertise

DevOps principles

Python programming

Kubernetes services

Model performance monitoring

Collaboration skills

Problem-solving abilities

Tools

MLflow

Kubeflow

TensorFlow

Docker

Azure services

Job description

We are seeking an individual with proven experience as an MLOps/DevOps Engineer to drive our organization's ML Ops strategy in support of the broader AI strategy. The successful candidate will play a critical role in shaping & scaling our AI/ML capabilities.

What You'll Do:

• Oversee and manage the build and maintenance of robust and scalable ML pipelines.
• Design and implement automated workflows for data ingestion, model training, deployment, monitoring, and governance.
• Collaborate with data scientists and engineers to ensure seamless integration of ML models into production environments using Kubernetes services.
• Develop and implement best practices for ML platform security, reliability, and performance.
• Monitor and assess model performance and implement corrective actions.
• Stay informed about the latest trends and technologies in ML Ops and advocate for their adoption.
• Build and maintain a collaborative and high‑performing team culture, fostering continuous learning and growth.
• Communicate effectively with stakeholders at all levels, both technical and non‑technical, to provide clear insights on ML operations.

About You:

• 5+ years of experience in ML Ops or a related field.
• Proven track record of building and managing ML pipelines, including data preparation, model training, deployment, and monitoring.
• Solid foundation in DevOps principles and practices with experience in CI/CD pipelines for ML deployments.
• Solid programming skills in Python or another scripting language.
• Experience working with model performance monitoring and troubleshooting.
• Strong understanding of data engineering principles and experience.
• Experience with MLOps platforms like MLflow and Kubeflow.
• Experience with relevant ML frameworks (e.g., TensorFlow, PyTorch).
• Experience with containerization technologies like Docker and Kubernetes.
• Excellent communication, interpersonal, and collaboration skills.
• Strong assessment and problem‑solving skills.
• Ability to oversee and mentor a team.
• Passion for ML and its potential to solve real‑world problems.

Desired Skills:

• Experience with cloud‑based ML services like Azure SageMaker and AutoML.
• Understanding of Azure stack such as Azure Machine Learning, Azure Data Factory, Azure Databricks, Azure Kubernetes Service, Azure Monitor, etc.
• Understanding of security and compliance requirements in ML infrastructure.

What We Can Offer You:

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.

Diversity, Inclusion & Belonging

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know diverse backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

Compensation

USD Annual Salary: $113,000.00 - $259,500.00

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT and affirmatively action employer. We are committed to diversity and building a team that represents a variety of backgrounds, perspectives, and skills. We do not discriminate and all decisions we make are based on qualifications, merit, and business need. Our goal is to be one global diverse team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.