Senior MLOps Engineer

Job overview

The Senior MLOps Engineer role is hybrid in Phoenix, AZ, with remote work considered. Compensation is not specified. The position supports a client’s new enterprise machine learning operations platform and works closely with Data Science and Data Engineering teams. The role establishes the frameworks, standards, and automation needed to move experimental models into reliable, governed production services. It builds model lifecycle pipelines and monitoring, strengthens CI/CD and governance practices, and enables teams to deploy and maintain machine learning models efficiently and safely.

What you'll do

• Design and implement a scalable MLOps platform
• build reusable pipelines for model training, validation, deployment, inference, monitoring, and maintenance
• establish lifecycle management, versioning, approvals, promotion, rollback, and lineage
• partner with Data Scientists to operationalize models
• implement monitoring for performance, drift, data quality, bias, and reliability
• automate retraining
• collaborate on feature engineering pipelines
• define CI/CD standards
• establish security, compliance, auditability, reproducibility, and responsible AI practices
• create documentation, standards, runbooks, and enablement materials.

What we're looking for

Skills & competencies

senior mlops engineer

machine learning operations

phoenix az

hybrid

remote considered

python

sql

ci/cd

model lifecycle

cloud platforms

data science

data engineering

Work arrangement

• Weekend coverage required

Why this role

Requires five years of relevant experience and strong Python and SQL development; AWS is highly desirable, while Snowflake MLOps experience is preferred.

About the employer

IS3 Solutions is hiring for this role. Industry: Engineering Services. Sector: 54.