1

Model Server Assistant Jobs in Pennsylvania (NOW HIRING)

... applications. Assist Web Designer with form implementation and Content Administration support ... NET, VB, Active Server * Pages, HTML, DHTML, JavaScript, T-SQL, PL-SQL, MS Component Object Model ...

... applications. Assist Web Designer with form implementation and Content Administration support ... NET, VB, Active Server * Pages, HTML, DHTML, JavaScript, T-SQL, PL-SQL, MS Component Object Model ...

Login into servers, network devices, and software to perform: * Configuration * Backups * Firmware ... Maintain asset lifecycle documentation * Assist with asset decommissioning and disposal activities ...

This position will be a hybrid model both in person and remote with minimum of onsite expectation ... Server Administration: Proficiency administering various server platforms such as Windows Server ...

This position will be a hybrid model both in person and remote with minimum of onsite expectation ... Server Administration: Proficiency administering various server platforms such as Windows Server ...

Showing results 41-60

Model Server Assistant information

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?

AspectModel Server AssistantModel Trainer
CredentialsTypically requires basic technical certifications or training in AI/ML support rolesOften requires advanced degrees or certifications in machine learning or data science
Work EnvironmentSupports model deployment and server management in data centers or cloud environmentsFocuses on developing and training models in labs or development environments
Employer & IndustryTech companies, AI service providers, cloud platformsResearch 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.

What cities in Pennsylvania are hiring for Model Server Assistant jobs?

Cities in Pennsylvania with the most Model Server Assistant job openings:

$47/hr

Contractor

Re-posted 24 days ago


Job description

Company Description

AYR Global IT Solutions is a national staffing firm focused on cloud,
cyber security, web application services, ERP, and BI implementations by
providing proven and experienced consultants to our clients. Our
competitive, transparent pricing model and industry experience make us a
top choice of Global System Integrators and enterprise customers with
federal and commercial projects supported nationwide.

Job Description

Job Role: BI Developer (Oracle, SQL
Server)
Location: Philadelphia PA
Duration: 6+ Months Contract
Max
Rate: $47/Hr


Need: US Citizen, Green Card, EAD
Green Card Only!!


Must Have: Oracle, SQL Server

Qualifications

Job Description:
Analyze large customer data sets
using a variety of database query and visualization tools
Deploy analytic
models within the various self-service reporting systems and
environments
Partner with the National Data Warehouse team to support
migration of ETL, Tables, Data, etc. into the Enterprise Data
Warehouse.
Manage new data requests by partnering with business owners to
help define business rules and translate into data-driven results designed to
meet leadership objectives.
Perform ad hoc analysis to solve operational
issues and provide data for business cases.
Provide technical expertise in
extracting, integrating, and analyzing customer critical data
Compile and
verify daily, weekly, and monthly customer focused executive reporting
Design
and develop key performance metrics and indicators using standardized and custom
reports
Develop a solid understanding of both XH and Enterprise Data
Warehouses and be able to interpret the data
Work closely with XH
leadership
Technical
Requirements:
Hadoop
Hive
Python
Oracle
SQL
Server
Teradata
Tableau
Knowledge and Abilities:
Advanced SQL coding skills
with the ability to develop new logic as well as interpret, modify, and enhance
existing queries
Strong knowledge of database query tools such as Teradata
SQL Assistant and SQL Server Management Studio
Advanced knowledge of
BI/Reporting tools such as Tableau and SSRS
Advanced Excel modeling skills
(pivot tables, advanced functions, Visual Basic etc.)
Scripting knowledge
with Python / Unix shell scripting
Excellent written and verbal
communications skills
Strong organizational skills, detail oriented and
process-driven, with an orientation toward continuous process
improvement
Strong time management and prioritization skills with a
demonstrated ability to execute against multiple projects, adapt to changing
priorities, and excel in a fast-paced, results-oriented work
environment.
Analytical with strong problem solving ability
Proactive and
self-directed in work habits

Additional Information

If you are interested please share your resume at rshaw(at)ayrglobal(dot)com or you can directly call me on (609) 736-0817