Machine Learning Engineer - Scalable Pipelines & Production

AIToolboard; Arlington (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

AIToolboard is seeking a Machine Learning Engineer in Arlington, TX to design and productionize advanced analytics solutions. You will focus on scalable pipelines and optimizing model performance on Databricks and PySpark. The role requires 7+ years of ML engineering experience and strong Python/SQL skills.

Relocation assistance is provided within the US, and sponsorship is not offered. This full-time position emphasizes building robust ML workflows, collaborating with data platforms, and

Qualifications

• 7+ years of machine learning engineering experience.
• Bachelor's degree in a quantitative field.
• Relocation assistance within the US; sponsorship not provided.

Responsibilities

• Design and productionize advanced analytics solutions.
• Develop scalable data pipelines and ML workflows.
• Optimize model performance on platforms like Databricks and PySpark.

Skills

Python

SQL

Databricks

PySpark

ML Engineering

Education

Bachelor's degree in quantitative field

Tools

Databricks

PySpark

Job description

Full-time

About the Role

A leading organization is seeking a Machine Learning Engineer to design and productionize advanced analytics solutions. This role emphasizes developing scalable pipelines and optimizing model performance on data platforms like Databricks and PySpark. Candidates must have 7+ years of machine learning engineering experience, strong programming skills in Python or SQL, and a bachelor's degree in a quantitative field. The position offers relocation assistance within the US and does not provide sponsorship.