Data / ML Engineer – Scientist

Veriipro; Midvale (UT); On-site; USD 110,000 - 140,000; Full time

Job summary

Veriipro is seeking a skilled developer in Midvale, Utah, to enhance machine learning model evaluation and monitoring. The candidate will build reusable Python modules, implement automation frameworks, and collaborate with data scientists to ensure effective model governance.

Applicants should have 7-10 years of Python experience, with a strong grasp of relevant libraries and frameworks for data science. This position is vital for implementing scalable reporting automation and improving ML production processes.

Qualifications

• 7-10 years of experience in Python development for Data Science and Machine Learning.
• Expertise in Python libraries like pandas, NumPy, and scikit-learn.
• Experience with Databricks Notebooks and handling large datasets.

Responsibilities

• Build and maintain reusable Python modules for ML performance evaluation.
• Design and implement automated report generation frameworks.
• Collaborate with data scientists to enhance monitoring capabilities.

Skills

Python programming

Data Science

Machine Learning

Data analysis

Automation workflows

Databricks

PySpark

ML governance

Tools

Databricks Notebooks

PDF generation libraries

Airflow

Job description

Roles and Responsibilities

• Build and maintain reusable Python modules for ML model performance evaluation and monitoring.
• Develop logic for generating executive summaries, insights, and recommendation outputs for model monitoring reports.
• Design and implement modular frameworks for automated report generation in PDF and dashboard formats.
• Standardize model monitoring templates including visualizations, commentary, KPI thresholds, and performance metrics.
• Develop automation and orchestration workflows to schedule recurring monitoring runs and archive outputs.
• Process and analyze large-scale model outputs using Databricks, PySpark, and parquet datasets.
• Collaborate with data scientists, ML engineers, and business stakeholders to enhance model governance and monitoring capabilities.
• Support ML lifecycle management, model registry integration, and production monitoring processes.
• Ensure code quality, scalability, maintainability, and adherence to engineering best practices.

Required Qualifications

• 7-10 years of hands-on experience in Python development for Data Science and Machine Learning applications.
• Strong expertise in Python libraries including pandas, NumPy, scikit-learn, matplotlib, and seaborn.
• Strong understanding of ML evaluation metrics for classification and regression models.
• Experience with Databricks Notebooks and PySpark for large-scale data processing.
• Experience handling parquet data formats and large model output datasets.
• Experience with PDF generation libraries and automated reporting frameworks.
• Knowledge of MLFlow, model registries, and ML production monitoring platforms.
• Strong analytical, problem-solving, and communication skills.

Preferred Qualifications

• Experience with workflow orchestration tools such as Airflow or similar platforms.
• Familiarity with enterprise ML governance and monitoring frameworks.
• Experience building scalable and reusable analytics/reporting frameworks.