Machine Learning Engineer, Data & ML Infrastructure

Job overview

The Machine Learning Engineer, Data & ML Infrastructure role is listed as remote, with Minnetonka, MN shown as the listing location. Compensation is not specified. The team builds infrastructure used by production inference pipelines and supports Data Scientists with data during development. This role builds and maintains data infrastructure that feeds production ML inference systems and supplies prepared, validated data for model development. It contributes to reliable pipeline execution and downstream ML use without owning model training or model architecture.

What you'll do

• Build and maintain data pipelines feeding production ML inference systems
• support Data Scientists by supplying, preparing, and validating development data
• design and operate Dataflow and Dataproc processing jobs
• organize Cloud Storage data lakes
• build and maintain Cloud Composer/Airflow workflows
• implement pipeline quality checks and testing
• contribute to feature engineering pipelines for a project where feature-store experience may be required.

What we're looking for

Skills & competencies

machine learning engineer

data infrastructure

ml infrastructure

gcp

kafka

airflow

python

spark

hive

data pipelines

cloud storage

minnetonka mn

Work arrangement

• Weekend coverage required

Why this role

Focuses on production data and inference infrastructure rather than model training; feature-store experience is project-dependent and may be required.

About the employer

Tekfortune Inc. is hiring for this role. Industry: Employment Placement Agencies. Sector: 56.