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Model Server Assistant Jobs in Texas (NOW HIRING)

Data Modeler

Dallas, TX

$54.25 - $70.25/hr

Model, design and implement advanced Data Warehouse database schema designs, such as star and ... standards. Assist in determining and identifying risks in existing and/or proposed reporting ...

Server

Austin, TX · On-site

$16/hr

Performs other duties as assigned by Assistant Manager or Dining Room Coordinator OTHER JOB DUTIES ... Serve as a role model for all employees by displaying a responsible, cooperative, and positive ...

Server-IL

Austin, TX · On-site

$15 - $16/hr

Performs other duties as assigned by Assistant Manager or Dining Room Coordinator OTHER JOB DUTIES ... Serve as a role model for all employees by displaying a responsible, cooperative, and positive ...

Server-IL

Pharr, TX · On-site

$10 - $12/hr

Performs other duties as assigned by Assistant Manager or Dining Room Coordinator OTHER JOB DUTIES ... Serve as a role model for all employees by displaying a responsible, cooperative, and positive ...

Helps resolve Guest complaints by using the BLAST Guest Recovery Model. * Assist in the cleanliness ... Proven experience as a server in a full-service dining establishment * High school diploma or GED ...

Helps resolve Guest complaints by using the BLAST Guest Recovery Model. * Assist in the cleanliness ... Proven experience as a server in a full-service dining establishment * High school diploma or GED ...

SQL DBA

Plano, TX · On-site

$47.75 - $59.75/hr

... Assist developers with query tuning and schema refinement Provide 24x7 support for critical ... models Experience of High Availability (HA) and Disaster Recovery (DR) options for SQL 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 Texas are hiring for Model Server Assistant jobs?

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

Senior DBA Oracle + SQL Server

PROLIM Global Corporation

Austin, TX • On-site

Full-time

Posted 19 days ago


Job description

PROLIM Global Corporation (www.prolim.com) is hiring a Senior DBA Oracle + SQL Server for a leading Government Client.
Job Title: Senior DBA Oracle + SQL Server
Location: Hybrid - Austin, TX 78751
Duration: 12 Months (Extendable)
Note: Texas Local candidates only

Job Summary
We are seeking a highly experienced Senior Database Administrator (DBA III) to support enterprise database environments, application modernization initiatives, and critical database operations. The ideal candidate will have extensive experience with Oracle and Microsoft SQL Server database administration, database design, performance tuning, migrations, upgrades, security, disaster recovery, and high-availability solutions.
The candidate will work with full-stack Java applications hosted on cloud platforms such as Azure/AWS within an Agile (Scrum) environment. This role will focus on database optimization, Oracle-to-Azure SQL migrations, data transformation, performance monitoring, and maintaining highly available and secure database environments.
The successful candidate should have strong experience supporting complex enterprise applications, creating logical and physical data models, troubleshooting database issues, and implementing database standards and best practices.
Key Responsibilities
• Perform advanced database administration activities for enterprise applications with complex data models, workflows, and reporting requirements.
• Design, implement, maintain, and optimize Oracle and Microsoft SQL Server databases.
• Perform database migrations from Oracle applications to Azure SQL schemas and collections.
• Convert Oracle Stored Procedures and Functions to Azure SQL.
• Perform database performance tuning, indexing, optimization, and troubleshooting.
• Analyze database performance bottlenecks and implement monitoring solutions.
• Manage database installations, upgrades, patching, and configuration activities.
• Implement database security best practices including data protection, access control, and compliance requirements.
• Support disaster recovery planning, backup, recovery, replication, and secondary site operations.
• Manage clustering, high availability, and load-balancing solutions.
• Perform data migration, transformation, conversion, purging, and archival activities.
• Create and maintain logical and physical data models.
• Develop and maintain technical and functional database documentation.
• Support Agile development teams during application development, testing, and production deployments.
• Work with multi-tier applications including SOA, Microservices, and 3-tier architectures.
• Support ETL processes and data integration activities.
• Assist with database policies, governance standards, and operational procedures.
• Collaborate with application teams to ensure database integrity, availability, and confidentiality.
Required Skills & Qualifications
• 10+ years of database administration experience.
• 8+ years of experience with Oracle and Microsoft SQL Server databases.
• 8+ years of experience with relational database administration.
• 8+ years of experience in database design, analysis, and performance tuning.
• 8+ years of experience working with database structures, data analysis, and optimization.
• 8+ years of experience designing enterprise applications and services.
• 8+ years of experience creating technical and functional design documentation.
• 8+ years of experience working within Agile software development life cycles (Scrum preferred).
• 8+ years of experience with multi-tier application architectures including SOA, Microservices, and 3-tier applications.
Preferred Qualifications
• Experience supporting large-volume databases, high availability, and disaster recovery environments.
• Experience working with Azure cloud environments.
• Experience with Extract, Transform, and Load (ETL) processes and migrating data into Azure SQL.
• Experience with DevOps technologies including CI/CD pipelines, Git, and deployment tools.
• Experience with Java/J2EE enterprise development environments.
• Azure certifications preferred.
• DBA Associate certifications preferred.
Interested Candidates
Please send your updated resume and contact details to: anand.kanavalli@prolim.com
About PROLIM Corporation
PROLIM is a leading provider of end-to-end IT, PLM, and Engineering Services and Solutions for Global 1000 companies. We understand business as much as technology and help our customers improve profitability and efficiency through high-value consulting, staffing, engineering, and project management services.
Our offerings include Advisory Services, PLM Software & Services, Program Management, Solution Architecture, Training & Staffing, Cloud Solutions, Infrastructure Services, ERP Practices, Quality Assurance Services, and Engineering Services across a wide range of industries.