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Model Server Jobs in New York (NOW HIRING)

Familiarity with data modeling, normalization, and database design principles. Experience creating and maintaining SSRS reports and/or Power BI reports. Understanding of SQL Server security ...

Knowledge of SQL Server Agent jobs, scheduling, and automation. Familiarity with data modeling, normalization, and database design principles. Experience creating and maintaining SSRS reports and/or ...

Data Modeler

Manhattan, NY · On-site

$60.25 - $78.25/hr

... model designs align with data governance, security, and compliance standards. • Support ETL ... as SQL Server, Oracle, or PostgreSQL. • Experience with AWS Cloud services like Redshift, S3 ...

Data Modeler

Manhattan, NY · On-site

$60.25 - $78.25/hr

... model designs align with data governance, security, and compliance standards. • Support ETL ... as SQL Server, Oracle, or PostgreSQL. • Experience with AWS Cloud services like Redshift, S3 ...

Data Modeler

Manhattan, NY · On-site

$60.25 - $78.25/hr

... model designs align with data governance, security, and compliance standards. • Support ETL ... as SQL Server, Oracle, or PostgreSQL. • Experience with AWS Cloud services like Redshift, S3 ...

Data Modeler

Manhattan, NY · On-site

$60.25 - $78.25/hr

... model designs align with data governance, security, and compliance standards. • Support ETL ... as SQL Server, Oracle, or PostgreSQL. • Experience with AWS Cloud services like Redshift, S3 ...

Data Modeler

Warren, NJ · On-site

$56.75 - $73.75/hr

Experience with Netezza in support of the data warehouse modeling is preferred. Experience with ... server/Db2 in support of transactional systems modelling is preferred Experience with Erwin/any ...

Experience SSIS required Solid SQL, stored procedures, database triggers, views and other database ... data modeling and dimensional modeling Strong technical problem-solving skills and sound ...

Experience SSIS required Solid SQL, stored procedures, database triggers, views and other database ... data modeling and dimensional modeling Strong technical problem-solving skills and sound ...

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 popular job titles related to Model Server jobs in New York?

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

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

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

Infographic showing various Model Server job openings in New York as of September 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

SQL Server Database Developer

New York, NY • On-site

Virtusa
IT Services • 10K+ employees

Full-time

Re-posted 2 days ago


Job description

Required Experience

5-8 years of hands-on experience in SQL Server database development and support.
Strong experience in designing, developing, and optimizing complex T-SQL queries, stored procedures, functions, views, and triggers.
Experience working with large-scale transactional databases and data warehouse environments.
Technical Skills

Microsoft SQL Server 2016/2019/2022.
Advanced T-SQL programming and query optimization.
Database performance tuning, indexing, and execution plan analysis.
Experience with SQL Server Integration Services (SSIS) and ETL processes.
Knowledge of SQL Server Agent jobs, scheduling, and automation.
Familiarity with data modeling, normalization, and database design principles.
Experience creating and maintaining SSRS reports and/or Power BI reports.
Understanding of SQL Server security, permissions, and role-based access controls.
Experience with source control tools such as Git/Azure DevOps.
Preferred Skills

Experience with Azure Data Factory, Microsoft Fabric, or cloud-based data platforms.
Exposure to Python and modern data processing frameworks.
Experience supporting data integrations, APIs, and file-based interfaces.
Knowledge of DevOps, CI/CD pipelines, and automated deployment processes.
Healthcare, Medicare, or insurance domain experience is a plus.
Responsibilities

Design, develop, test, and maintain SQL Server database solutions.
Develop and optimize stored procedures, functions, views, and ETL processes.
Investigate and resolve database performance issues.
Support application development teams with database-related enhancements and troubleshooting.
Participate in database migrations, upgrades, and modernization initiatives.
Create technical documentation and support production deployments.
Collaborate with business analysts, developers, QA teams, and stakeholders to deliver solutions.
Soft Skills

Strong analytical and problem-solving skills.
Excellent communication and collaboration abilities.
Ability to work independently and manage multiple priorities.
Strong attention to detail and commitment to delivering high-quality solutions.


Virtusa logo

About Virtusa

Sourced by ZipRecruiter

We are builders, makers, and doers with the technical skills and domain expertise to transform your business at scale and speed without disruption. Our unique Engineering First approach blends deep industry expertise and empowered, agile teams, to create holistic solutions that seamlessly move the business forward. We help clients engage with new technology paradigms to creatively build solutions that drive them to the forefront of their industries.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Westborough, MA, US

Year founded

1996

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