Data ML Engineer - Scientist

Data ML Engineer - Scientist – Join Our Team .job-posting-container {font-family: Arial, sans-serif; line-height: 1.6; color: #333; margin: 0; padding: 20px; background-color: #ffffff; box-sizing: border-box;} .job-posting-container * {box-sizing: border-box;} .job-posting-content {background-color: #ffffff; padding: 30px; max-width: 800px; margin: 0 auto; box-shadow: 0 0 10px rgba(0,0,0,0.1); border-radius: 10px;} .job-posting-container h1, .job-posting-container h2 {color: #004080; margin: 15px 0;} .job-posting-container h1 {font-size: 22px;} .job-posting-container h2 {font-size: 20px; border-bottom: 1px solid #ccc; padding-bottom: 5px; margin-top: 30px;} .job-posting-container ul {margin-left: 20px;} .job-posting-container .section {margin-bottom: 25px;} .job-posting-container .highlight {background-color: #eef6ff; padding: 15px; border-left: 4px solid #004080; margin-bottom: 15px; border-radius: 5px;} .job-posting-container strong {color: #333;} .job-posting-container li {margin-bottom: 8px;} Data ML Engineer - Scientist Location: Midvale, Utah, USA | Type: Full-Time | Industry: IT About the Opportunity This role offers the chance to work on cutting-edge machine learning initiatives, focusing on model monitoring, performance evaluation, and automated reporting systems within a collaborative technical environment. Why Join Us? Work with advanced ML tools and frameworks in a dynamic technology setting Contribute to meaningful projects that impact business decision-making Collaborate with experienced data scientists and engineers Opportunity to develop expertise in production ML monitoring and automation Key Responsibilities Build and maintain reusable Python functions for calculating standard model performance metrics and develop logic for generating executive summaries and recommendations Design and implement a modular framework to generate monitoring reports in PDF 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 storage systems for output archival Qualifications Hands-on experience with Python and 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 working with PDF generation libraries Knowledge of MLFlow, model registries, or production ML monitoring platforms Ready to Apply? If you're passionate about machine learning engineering and eager to contribute to innovative monitoring solutions, we'd love to hear from you. Contact: prakash@dprsolutionsinc.com Phone: 5202825034 Take the next step in your career!