HubMub
-
NuStar Technologies

Data/ML Engineer

NuStar Technologies
United States · Full-time · Entry
Location : Remote

Must Have Technical/Functional Skills

  • 7-10 hands-on experience Python with expertise in pandas, NumPy, scikit-learn, matplotlib and seaborn.
  • Strong understanding of ML evaluation metrics across classification and regression use cases.
  • Experience with Databricks Notebooks and PySpark for handling large model outputs in parquet format.
  • Experience in working with PDF generation libraries.
  • Knowledge of MLFLow, model registries or production ML monitoring platforms.

Roles & Responsibilities

  • Build and maintain reusable Python functions for calculating stand model performance metrics – develop

And maintain the logic for generating executive summaries and recommendations.

  • Design and implement a modular framework to generate monitoring reports in PDFs or dashboard formats.
  • Standardize templates for model reporting including visualizations, commentary sections and KPI thresholds.
  • Build automation scripts using orchestration to schedule monitoring runs at regular intervals and integrate

with the storage system for output archival.

Salary : 100000-115000/per annum

Key Skills

Ranked by relevance

python matplotlib storage pandas mlflow numpy
Login to Apply
🇺🇸

Country Guide

United States

World’s deepest and highest-paying tech market

Posted
Jan 30, 2026
Type
Full-time
Level
Entry
Location
Salt Lake City
Company
NuStar Technologies

Industries

Information Technology & Services

Categories

Engineering Information Technology

Related Jobs

3 roles aligned with this opportunity

View all jobs
View Job Details
NuStar Technologies
Related

AI Engineer

2026-02-19

Full-time
Entry
United States
Information Technology & Services
Engineering
View Job Details
RevSpring
Related

DevOps Engineer I

2026-06-18

Full-time
Not Applicable
United States
Information Technology & Services
Engineering
View Job Details
Codelynks
Related

Generative AI Engineer

2026-06-13

Full-time
Not Applicable
Canada
Information Technology & Services
Engineering