ML Ops Intern: Build & Validate Real-World Pipelines

Halo Industries, Inc.; Santa Clara (CA); On-site; USD 28,000 - 41,000; Full time

Benefits offered by this job

Competitive hourly pay

Job summary

Halo Industries, Inc. is seeking a Machine Learning Operations Intern in Santa Clara, CA to support data preparation, labeling, training workflows, and validation processes for ML systems.

You will work with Python and C# tools under guidance from experienced engineers, gaining hands-on exposure to real-world data pipelines. The role emphasizes practical ML systems experience, dataset organization, and collaboration with engineers to ensure reliable workflows and quality data throughout model

Qualifications

• Pursuing or recent graduate with a Bachelor’s in Software Engineering, Computer Science, Computer Engineering, or related field.
• Basic programming experience in Python or C#.
• Experience working with structured workflows and large datasets.
• Ability to debug simple technical issues and follow documented processes.

Responsibilities

• Label and organize datasets for machine learning workflows.
• Run and monitor training and validation pipelines.
• Assist with evaluating model outputs and identifying data quality issues.

Skills

Python

C#

Data workflows

Debugging

Education

Bachelor's degree in Software Engineering / CS / CE

Master's degree in Software Engineering / CS / CE

Tools

Git

Annotation tools

Job description

Halo Industries, Inc. is seeking a Machine Learning Operations Intern in Santa Clara, CA to support data preparation, labeling, training workflows, and validation processes for ML systems.

You will work with Python and C# tools under guidance from experienced engineers, gaining hands-on exposure to real-world data pipelines. The role emphasizes practical ML systems experience, dataset organization, and collaboration with engineers to ensure reliable workflows and quality data throughout model