ZipRecruiter

Log In

1

Model Server Jobs in Phoenix, AZ (NOW HIRING)

Scalence L.L.C.

Actimize Data Modeler

Phoenix, AZ · On-site

$54.25 - $70.50/hr

... Data Model (ACDM). • Experience in fraud, AML, KYC, Sanctions Screening, and Fraud. • Strong SQL skills (Oracle, SQL Server, PostgreSQL, or DB2). • Experience with ETL tools and data ...

Intel

Server CPU SoC Architect

Phoenix, AZ

$165K/yr

Life at Intel The Role and Impact As a Server CPU SoC Architect CPU Architect, you will play a ... Model CPU performance and power, analyze bottlenecks, and propose architectural improvements based ...

Stem Xpert

Sr .Net Developer

Chandler, AZ

$54.25 - $69/hr

Leads most complex multiple modeling, simulations, and analysis efforts. Acts as expert technical ... NET, HTML5, Microsoft SQL Server 2012-2013, Microsoft Team Foundation Server, Microsoft Visual ...

Sarian, Inc.

Core Java Developer

Phoenix, AZ · On-site

Analyze and model business processes and online web forms to create user-friendly, online self ... Experience with Cloud and traditional application servers like Tomcat/Weblogic/Websphere.

Sonsoft Inc

Tableau Consultant

Phoenix, AZ · On-site

... Schema, Snowflake, data modeling experience using Normalization, Business Process Analysis ... In-depth knowledge on Tableau Desktop, Tableau Reader and Tableau Server Experience in using ...

Biogensys

Sr. Lead Developer

Phoenix, AZ · On-site

Create and maintain SSIS packages for ETL operations, ensuring data integrity and scalability ... models, relationships, and schema structures. * Full workflow and dependency overviews for 60 ...

INT Technologies

SQL DATABASE ADMINISTRATOR

Phoenix, AZ · On-site

$49.75 - $62/hr

... data on a relation model database environment. Reviews, evaluates, designs, implements and ... Qualifications Windows Server - Required T-SQL Skills - Advanced - 3 years SQL Server 2008 R2 SQL ...

previous page

Showing results 41-60

All JobsModel Server JobsModel Server Jobs in Phoenix, AZ

Model Server information

See Phoenix, AZ salary details

$5

$15

$30

How much do model server jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for model server in Phoenix, AZ is $15.18, according to ZipRecruiter salary data. Most workers in this role earn between $10.24 and $17.16 per hour, depending on experience, location, and employer.

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 Phoenix, AZ?

The most popular types of Model Server jobs in Phoenix, AZ are:

What are popular job titles related to Model Server jobs in Phoenix, AZ?

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

What job categories do people searching Model Server jobs in Phoenix, AZ look for?

The top searched job categories for Model Server jobs in Phoenix, AZ are:

What cities near Phoenix, AZ are hiring for Model Server jobs?

Cities near Phoenix, AZ with the most Model Server job openings:

Model Server jobs near you
Infographic showing various Model Server job openings in Phoenix, AZ as of August 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 100% In-person job distribution, with an average salary of $31,582 per year, or $15.2 per hour.

Actimize Data Modeler

Tata Consultancy Service Limited

Phoenix, AZ • On-site

$100K - $115K/yr

Full-time

Re-posted 23 days ago

Job description

Actimize Data Modeler (Financial Crime Technology)
• The Actimize Data Modeler is responsible for designing, developing, and maintaining data models that support the implementation and optimization of the Actimize platform for AML, KYC, Customer Risk Rating, and Transaction Monitoring solutions. The role works closely with business analysts, data architects, Actimize developers, and compliance stakeholders to ensure accurate data integration and regulatory reporting.
Key Responsibilities
• Design and maintain conceptual, logical, and physical data models for Actimize applications.
• Analyze source systems and map data elements to the Actimize Common Data Model (ACDM).
• Define ETL requirements and data transformation rules for AML and Financial Crime solutions.
• Collaborate with business stakeholders to understand regulatory and compliance requirements.
• Perform data profiling, data quality assessments, and gap analysis.
• Support implementation of:
• Actimize Integrated Fraud Management
• Actimize Transaction Monitoring
• Customer Due Diligence (CDD)
• Know Your Customer (KYC)
• Watchlist Screening
• Customer Risk Rating
• ActOne
• Create source-to-target mapping documents and data dictionaries.
• Work with database teams to optimize data structures and performance.
• Support UAT, SIT, and production deployments.
• Ensure data governance, lineage, and auditability requirements are met.
Required Skills
• Strong experience with NICE Actimize platform.
• Deep understanding of Actimize Common Data Model (ACDM).
• Experience in fraud, AML, KYC, Sanctions Screening, and Fraud
• Strong SQL skills (Oracle, SQL Server, PostgreSQL, or DB2).
• Experience with ETL tools and data integration frameworks.
• Knowledge of data warehousing and dimensional modeling.
• Ability to create source-to-target mappings and data lineage documentation.
• Experience with large-scale banking data environments.
Salary Range- $100,000-$115,000 a year
#LI-SP3
#LI-VX1

Apply