... Server, .NET, and Power BI. * Generate routine and ad hoc reports, analyses, and performance ... modeling. * Assist with machine learning initiatives, data acquisition, model inputs, and ...
Quick apply
... Server, .NET, and Power BI. * Generate routine and ad hoc reports, analyses, and performance ... modeling. * Assist with machine learning initiatives, data acquisition, model inputs, and ...
Data Management Analyst
Crane, IN · On-site
... Server, .NET, and Power BI. * Generate routine and ad hoc reports, analyses, and performance ... modeling. * Assist with machine learning initiatives, data acquisition, model inputs, and ...
Data Management Analyst
Crane, IN · On-site
... Server, .NET, and Power BI. * Generate routine and ad hoc reports, analyses, and performance ... modeling. * Assist with machine learning initiatives, data acquisition, model inputs, and ...
Model Server Assistant information
See Bloomington, IN salary details
$5.56 - $6.85
3% of jobs
$6.85 - $8.15
5% of jobs
$8.15 - $9.44
16% of jobs
$9.49 is the 25th percentile. Wages below this are outliers.
$9.44 - $10.73
13% of jobs
$10.73 - $12.03
9% of jobs
The median wage is $12.40 / hr.
$12.03 - $13.32
15% of jobs
$14.08 is the 75th percentile. Wages above this are outliers.
$13.32 - $14.62
24% of jobs
$14.62 - $15.91
7% of jobs
$15.91 - $17.20
3% of jobs
$17.20 - $18.50
3% of jobs
$18.50 - $19.79
1% of jobs
$5
$12
$19
How much do model server assistant jobs pay per hour?
As of Aug 19, 2026, the average hourly pay for model server assistant in Bloomington, IN is $12.42, according to ZipRecruiter salary data. Most workers in this role earn between $8.89 and $13.99 per hour, depending on experience, location, and employer.
What is a model server assistant?
Model Server Assistants are specialized software tools or agents designed to help manage, deploy, and maintain machine learning models on server infrastructure. They facilitate tasks such as model versioning, scaling, monitoring, and providing APIs for real-time inference. By automating these processes, Model Server Assistants make it easier for organizations to integrate machine learning models into production environments and ensure they run efficiently and reliably.
How does a model server assistant typically collaborate with data scientists and engineers on machine learning projects?
As a Model Server Assistant, you will work closely with data scientists to ensure machine learning models are properly deployed, monitored, and maintained in production environments. Your responsibilities often include updating model versions, troubleshooting deployment issues, and optimizing server performance. You’ll also collaborate with engineers to integrate models into existing systems and automate workflows, making strong communication and teamwork skills essential. This cross-functional collaboration not only helps you learn from experienced professionals but also opens up opportunities for growth into more specialized roles in machine learning operations.
What are the key skills and qualifications needed to thrive as a model server assistant, and why are they important?
To thrive as a Model Server Assistant, you need a strong understanding of machine learning models, server deployment, and basic programming skills, usually supported by a degree in computer science or a related field. Familiarity with tools like Docker, TensorFlow Serving, Kubernetes, and cloud platforms is typically required. Attention to detail, effective communication, and problem-solving abilities help set candidates apart in this role. These skills ensure efficient deployment, reliable model performance, and smooth collaboration between data science and engineering teams.
What is the difference between Model Server Assistant vs Model Trainer?
| Aspect | Model Server Assistant | Model Trainer |
|---|---|---|
| Credentials | Typically requires basic technical certifications or training in AI/ML support roles | Often requires advanced degrees or certifications in machine learning or data science |
| Work Environment | Supports model deployment and server management in data centers or cloud environments | Focuses on developing and training models in labs or development environments |
| Employer & Industry | Tech companies, AI service providers, cloud platforms | Research institutions, AI startups, tech firms |
The Model Server Assistant primarily supports the deployment and maintenance of AI models on servers, ensuring smooth operation. In contrast, the Model Trainer focuses on developing and training models from scratch. While both roles require technical knowledge, the Model Server Assistant emphasizes support and management, whereas the Model Trainer emphasizes development and experimentation.
Do model server assistants make a lot of money?
Model server assistants typically earn entry-level wages that are below average for many jobs, with pay often ranging from minimum wage to moderate hourly rates depending on the employer and location. The role usually involves supporting model shoots or events and may require basic skills or certifications, but it is not generally considered a high-paying position.
Job description
Peerless is seeking a skilled Data Management Analyst to develop, configure, maintain, and enhance data management systems, databases, reporting solutions, and business intelligence tools. The successful candidate will support data governance, analytics, reporting, system administration, and data science initiatives while working closely with stakeholders to develop technical solutions and ensure the integrity, accessibility, and effective use of organizational data.
Key Responsibilities
- Administer and maintain enterprise databases, data repositories, and document management systems.
- Manage data collection, validation, integration, import/export, storage, and retrieval processes.
- Monitor database performance, data quality, and system functionality to ensure data integrity and reliability.
- Manage user access, permissions, and database troubleshooting activities.
- Develop and maintain reports, dashboards, metrics, and analytical products supporting organizational decision-making.
- Develop databases, reporting applications, and automated workflows using tools such as Excel, Access, SQL Server, .NET, and Power BI.
- Generate routine and ad hoc reports, analyses, and performance metrics.
- Develop, configure, and enhance business systems, applications, and reporting solutions.
- Support system upgrades, testing, implementation, and ongoing maintenance.
- Support data science and advanced analytics initiatives through data collection, preparation, analysis, and modeling.
- Assist with machine learning initiatives, data acquisition, model inputs, and development of data products.
Requirements
- Bachelor's degree in Information Systems, Data Analytics, Computer Science, Business, Mathematics, Statistics, or a related field.
- Experience managing databases, data repositories, and reporting systems.
- Experience developing reports, dashboards, and analytical products.
- Proficiency with Microsoft Excel, Microsoft Access, SQL, and database/reporting technologies.
- Knowledge of database structures, data management, and data governance principles.
- Strong analytical, problem-solving, communication, and organizational skills.
- Ability to manage multiple projects and priorities in a dynamic environment.
Preferred Qualifications
- Experience with SQL Server, .NET, Power BI, Tableau, Python, or R.
- Knowledge of data science, machine learning, and data modeling methodologies.
- Experience supporting enterprise information systems or business intelligence environments.
- Familiarity with cloud-based data platforms and data integration technologies.
- Experience with process improvement and workflow automation.
About Peerless Technologies
Sourced by ZipRecruiter
Industry
Guided missile and space vehicle manufacturing
Company size
201 - 500 Employees
Headquarters location
Fairborn, OH, US
Year founded
2000