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Model Server Jobs in Tennessee (NOW HIRING)

Counter Server

Nashville, TN · On-site

$15 - $24.40/hr

Provides excellent customer service, addresses needs of customers in a timely and effective manner and models suggestive selling techniques; answers phones and pages promptly and courteously.

Experience with ArcGIS Server management tools Working Experience with ArcGIS Online suite of tools Working Experience in writing and utilizing Phython Scripting language and Model Builder Working ...

Net, C# o MVC and WCF o Ajax, JavaScript o SQL Server, SSIS & SSRS At least 6 years of RDBMS ... Offshore model ITIL concepts, clear understanding of Change Management, Problem Management ...

Showing results 41-60

Model Server information

What is a model server?

Model servers are specialized software systems designed to deploy, manage, and serve machine learning models in production environments. They allow developers and organizations to expose trained models via APIs, enabling real-time predictions or batch processing for various applications. Model servers handle incoming requests, manage model versions, and ensure scalability, reliability, and security when serving models. Common examples include TensorFlow Serving, TorchServe, and NVIDIA Triton Inference Server.

How does a model server typically collaborate with data scientists and engineers during model deployment?

Model Servers play a key role in bridging the gap between data science teams and engineering teams during model deployment. They are responsible for integrating trained machine learning models into production environments, ensuring scalability, reliability, and low-latency access. Collaboration often involves regular communication with data scientists to understand model requirements and with engineers to align on infrastructure, security, and monitoring needs. This teamwork helps ensure that deployed models perform well and can be efficiently maintained or updated as new versions are released.

What are the key skills and qualifications needed to thrive as a model server, and why are they important?

To thrive as a Model Server engineer, you need expertise in deploying, managing, and optimizing machine learning models, typically supported by a background in computer science or a related field. Familiarity with tools like TensorFlow Serving, TorchServe, Docker, Kubernetes, and cloud platforms such as AWS or GCP is essential, along with knowledge of REST or gRPC APIs. Strong problem-solving, communication, and collaboration skills help in troubleshooting issues and working with data scientists and DevOps teams. These abilities ensure reliable, scalable, and efficient delivery of machine learning services in production environments.

What is the difference between Model Server vs Data Scientist?

AspectModel ServerData Scientist
Required CredentialsTypically requires knowledge of machine learning deployment, programming, and sometimes certifications in cloud platformsRequires degrees in data science, statistics, or related fields; certifications are optional
Work EnvironmentWorks primarily in IT, cloud environments, or data infrastructure teamsWorks in research, analytics, or business teams, often in office settings
Employer & Industry UsageUsed in tech companies, AI firms, and organizations deploying machine learning modelsEmployed across industries like finance, healthcare, marketing, and tech for data analysis

The main difference is that Model Servers focus on deploying and maintaining machine learning models in production environments, while Data Scientists analyze data, develop models, and generate insights. Model Servers are essential for operationalizing models, whereas Data Scientists drive the creation and refinement of those models.

What are the most commonly searched types of Model Server jobs in Tennessee?

The most popular types of Model Server jobs in Tennessee are:

What are popular job titles related to Model Server jobs in Tennessee?

For Model Server jobs in Tennessee, the most frequently searched job titles are:

What job categories do people searching Model Server jobs in Tennessee look for?

The top searched job categories for Model Server jobs in Tennessee are:

Infographic showing various Model Server job openings in Tennessee as of August 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 100% In-person job distribution.

Principal Data Modeler with GCP

Kanak Elite Services Inc

Nashville, TN • On-site

$53 - $68.50/hr

Contractor

Re-posted 13 days ago


Job description

Hello There,

My name is Himanshu Sharma, and I serve as the Recruitment Lead at Kanak-IT INC. I am reaching out to share an excellent career opportunity for the role of Principal Data Modeler with GCP with our esteemed client. If you are interested then please share your updated resume at Himanshu01@kanakits.com .

Job Description

Position           : Principal Data Modeler with GCP

Location          : Nashville, TN Onsite

Duration         : 12+ months contract

Job Summary:

We are seeking a highly experienced Principal Data Modeler to lead our enterprise data modelling efforts and define the blueprint for how data is structured, integrated, and governed across the organization. You will collaborate with data architects, engineers, analysts, and business stakeholders to design scalable, high-performance data models that support both operational and analytical workloads.

Key Responsibilities:

  • Lead Data Modelling Strategy: Define and drive the enterprise data modelling standards, guidelines, and best practices (conceptual, logical, and physical models).
  • Model Development: Design and maintain enterprise-wide data models, ensuring consistency, reuse, and adherence to data governance policies.
  • Collaboration: Work closely with data architects, DBAs, data engineers, BI teams, and business analysts to ensure models align with business needs and technical environments.
  • Data Integration & Warehousing: Contribute to the design of data lakes, data warehouses, and real-time data pipelines by modelling schemas for structured and semi-structured data.
  • Tool & Technology Expertise: Use industry-standard modelling tools (e.g., ER/Studio, ERwin, SQL Developer Data Modeler) and maintain model repositories and versioning.
  • Metadata & Lineage: Ensure data models are well-documented and integrated into metadata management and data lineage tools.
  • Data Quality & Governance: Support data quality initiatives by ensuring models align with data governance frameworks, including master data management and reference data standards.
  • Mentoring: Provide thought leadership and mentor junior data modellers and data engineers.

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, or a related field.
  • 10+ years of experience in data modelling and data architecture, preferably in large-scale enterprise environments.
  • Deep understanding of relational, dimensional, and NoSQL data modelling.
  • Strong knowledge of database technologies (e.g., Oracle, SQL Server, PostgreSQL, Snowflake, Redshift).
  • Experience with cloud platforms (AWS, Azure, GCP) and modern data stack tools.
  • Familiarity with data governance, metadata management, and data lineage concepts.
  • Exceptional analytical, problem-solving, and communication skills.
  • Proven ability to work cross-functionally with both technical and non-technical teams.