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Model Jobs in Summit, NJ (NOW HIRING)

Arcfield

Model-Based Systems Engineer

Wharton, NJ · On-site

  • Medical

  • Life

  • Retirement

  • PTO

Join a fast-growing company of Model Based Systems Engineers, where the culture is performance based, not time based and there is no limit to your career growth. Our engineers manage their own ...

NTT DATA, Inc.

AI Foundational Model Engineer

Jersey City, NJ · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

AI Foundation Model Engineer LLM / Agentic AI / Full-Stack AI Engineering Role purpose Design, build, deploy, and optimize enterprise-grade AI systems powered by foundation models, LLMs, retrieval ...

NTT DATA, Inc.

AI Foundation Model Engineer

Jersey City, NJ · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

NTT DATA Services currently seeks I Foundation Model Engineer to join our team in Jersey City, New Jersey. Role purpose Design, build, deploy, and optimize enterprise-grade AI systems powered by ...

NTT DATA, Inc.

AI Foundational Model Engineer

Jersey City, NJ · On-site

$139.87 - $209.81/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

AI Foundational Model Engineer We are currently seeking a AI Foundational Model Engineer to join our team in Jersey City, New Jersey (US). Primary Ownership * Production LLM applications, RAG ...

Arcfield

Model-Based Systems Engineer

Wharton, NJ · On-site

  • Medical

  • Life

  • Retirement

  • PTO

Join a fast-growing company of Model Based Systems Engineers, where the culture is performance based, not time based and there is no limit to your career growth. Our engineers manage their own ...

Citigroup, Inc.

Model/Anlys/Valid Officer

New York, NY · On-site

$225K - $250K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Citigroup Global Markets Inc. seeks a Model/Anlys/Valid Officer for its New York, New York location. Duties: Apply mathematical theories and no-arbitrage pricing techniques to develop, maintain and ...

Nastech Global

Data Modeler

New York, NY · On-site

$60 - $77.75/hr

Work with Business Architects, Solution Architects, and Data Stewards to capture business requirements in a Conceptual and Logical Data Model. * Contribute to ongoing updates to data modeling ...

Hudson Insurance Group

Data Modeler

Manhattan, NY · On-site

$60.25 - $78.25/hr

... model walkthroughs to validate design choices. Qualifications : Required : • Bachelor's degree in Computer Science, Information Systems, or a related field (or equivalent experience). • 5+ years ...

MphasiS Corporation USA

Data Modeler

Berkeley Heights, NJ · On-site

$57.25 - $74/hr

Proven ability to model, design, and work with distributed data ecosystems: Kafka: Designing event-driven architecture, topics, schemas, and event payloads. Flink & Spark: Structuring data for ...

Odyssey

Data Modeler

Manhattan, NY · On-site

$110K - $125K/yr

Participate in peer reviews, design sessions, and model walkthroughs to validate design choices. Qualifications: Required Qualifications: * Bachelor's degree in Computer Science, Information Systems ...

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Showing results 41-60

All JobsModel JobsModel Jobs in Summit, NJ

Model information

See Summit, NJ salary details

$10

$48

$151

How much do model jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for model in Summit, NJ is $48.58, according to ZipRecruiter salary data. Most workers in this role earn between $15.82 and $76.63 per hour, depending on experience, location, and employer.

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

To thrive as a Model, you typically need a strong physical presence, the ability to pose or walk confidently, and an understanding of industry standards, usually supported by a professional portfolio. Familiarity with photo shoot protocols, modeling agencies, and digital submission platforms is essential. Professionalism, adaptability, and strong communication skills help models stand out when working with clients and creative teams. These skills ensure a model can consistently meet diverse assignment demands and maintain a reputable, sustainable career in a competitive industry.

What are some common challenges faced by models during photo shoots and runway shows?

Models often face challenges such as maintaining energy and focus during long hours, adapting quickly to different styling, and working in varied environments that may be physically demanding. They must also interpret the creative direction of photographers or designers while projecting confidence and professionalism. Effective communication and teamwork with stylists, makeup artists, and other models are key to ensuring a successful shoot or show.

What is the difference between Model vs Data Analyst?

AspectModelData Analyst
Required CredentialsKnowledge of statistical modeling, programming skills (e.g., Python, R)Proficiency in data analysis tools, Excel, SQL, and visualization software
Work EnvironmentOften in tech, finance, or research settings focusing on building predictive modelsIn various industries analyzing data to inform business decisions
Employer & Industry UsageUsed in industries requiring predictive analytics and machine learningCommon across business, marketing, healthcare, and finance sectors

The main difference is that a Model develops predictive or statistical models, while a Data Analyst interprets data to generate insights. Models focus on creating algorithms, whereas Data Analysts focus on analyzing and visualizing data to support decision-making.

How do you get a job as a model?

To become a model, individuals typically build a portfolio of professional photos, gain experience through local or online casting calls, and seek representation from modeling agencies. Success often depends on physical appearance, confidence, and networking within the industry, along with understanding industry standards and maintaining a professional attitude.

How much money do models get paid?

Model salaries vary widely based on experience, type of modeling, and market. Fashion models may earn from a few hundred to thousands of dollars per day, while commercial and promotional models typically earn less. Payment can be hourly, daily, or per project, and many models also receive additional compensation such as commissions or royalties.

How to get a career in modeling?

To start a career in modeling, individuals typically build a portfolio with professional photos, gain experience through local or online casting calls, and seek representation from modeling agencies. Physical appearance, confidence, and good communication skills are important, and maintaining a healthy lifestyle can enhance opportunities in the industry.
More about Model jobs

What cities near Summit, NJ are hiring for Model jobs?

Cities near Summit, NJ with the most Model job openings:

Model jobs near you
Infographic showing various Model job openings in Summit, NJ as of August 2026, with employment types broken down into 66% Full Time, 23% Part Time, 7% Temporary, and 4% Contract. Highlights an 89% In-person, 5% Hybrid, and 6% Remote job distribution, with an average salary of $101,038 per year, or $48.6 per hour.

AI Foundational Model Engineer

NTT DATA Services

Jersey City, NJ • On-site

Temporary

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 20 days ago

NTT Data rating

7.4

Company rating: 7.4 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

117th of 224 rated it services

Job description

Req ID: 382098
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a AI Foundational Model Engineer to join our team in Jersey City, New Jersey (US-NJ), United States (US).
AI Foundation Model Engineer
LLM / Agentic AI / Full-Stack AI Engineering
Role purpose
Design, build, deploy, and optimize enterprise-grade AI systems powered by foundation models, LLMs, retrieval-augmented generation, and agentic workflows. The role converts AI concepts into secure, scalable, observable, and supportable production systems on the enterprise AI-ready platform (AIRP), which is currently AWS-hosted while following a cloud-agnostic architecture blueprint.
Client-specific emphasis
  • Hands-on AWS AI and cloud engineering is a major asset because AIRP currently runs on AWS.
  • Candidates should be comfortable working with Terraform/IaC and CI/CD teams to move AI services and infrastructure through controlled deployment pipelines.
  • Experience should map to business AI use cases such as KYC, credit underwriting, pitch book generation, Banker 360, Customer 360, deal library intelligence, financial crime quality, and sanctions screening.

Primary ownership
  • Production LLM applications, RAG pipelines, AI services, and model-serving integrations for AIRP.
  • End-to-end LLMOps/MLOps lifecycle from experimentation to deployment, monitoring, evaluation, rollback, and continuous improvement.
  • Reusable AI service components, APIs, prompts, retrieval logic, and observability patterns that can be federated across multiple business use cases.

Key responsibilities
  • Design and implement LLM-powered applications such as knowledge assistants, document intelligence solutions, workflow agents, summarization tools, and decision-support systems.
  • Build RAG pipelines using embeddings, chunking strategies, vector databases, semantic retrieval, reranking, response grounding, and citation patterns.
  • Integrate AI capabilities with AWS-hosted platform components, including model APIs, model gateways, data services, container platforms, and enterprise authentication patterns.
  • Collaborate with cloud engineering teams on Terraform modules, IaC templates, environment promotion, CI/CD pipelines, release controls, and rollback procedures.
  • Adapt and optimize models using LoRA, PEFT, instruction tuning, distillation, transfer learning, quantization, and domain adaptation techniques where appropriate.
  • Optimize inference workloads for latency, throughput, token efficiency, cost, reliability, and user experience.
  • Implement model and application observability, including prompt logs, retrieval quality, hallucination indicators, drift signals, feedback loops, cost telemetry, and service health.
  • Embed security, privacy, Responsible AI, and model risk controls into AI application design and delivery.
  • Create production documentation, runbooks, release notes, test evidence, and audit-ready implementation records.

Must-have candidate profile
  • 7+ years in AI/ML engineering, platform engineering, software engineering, or applied machine learning.
  • Hands-on experience with LLMs, transformers, embeddings, RAG, semantic search, and GenAI application patterns.
  • Strong Python engineering skills with PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, Semantic Kernel, or equivalent frameworks.
  • Experience deploying production AI services using APIs, containers, Kubernetes, CI/CD, cloud-native services, and monitoring platforms.
  • Practical exposure to AWS AI/cloud services or comparable cloud-native AI deployment experience, with ability to ramp quickly on AWS-hosted AIRP patterns.
  • Working knowledge of Terraform/IaC, DevOps pipelines, release management, model evaluation, inference optimization, and secure data handling.

Preferred experience
  • Banking, risk, compliance, financial crime, operations, or enterprise technology background.
  • Experience with AWS Bedrock, SageMaker, OpenSearch, Kendra, Lambda, EKS/ECS, Azure OpenAI, Vertex AI, Databricks, vLLM, Triton, MLflow, Kubeflow, or model gateways.
  • Exposure to cloud-agnostic application patterns, reusable IaC modules, model risk, AI governance, audit controls, AI cost governance, and private or open-source LLM deployments.

NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role will depend on the nature of the role offered and will either be [$139,872 - $209,808], or [$80-$100] if the role is hired as a temporary position. Actual compensation will depend on a number of factors, including the candidate's relevant experience, technical skills, and other qualifications.
This position may also be eligible for incentive compensation based on individual and/or company performance. If the position offered in temporary, the position will not be eligible for incentive compensation.
This position is eligible for company benefits that will depend on the nature of the role offered. Company benefits may include medical, dental, and vision insurance, flexible spending or health savings account, life and AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits.
About NTT DATA
NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.
Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.
NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

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About NTT DATA

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NTT DATA Services is a global business and IT services provider specializing in digital, cloud and automation across a comprehensive portfolio of consulting, applications, infrastructure and business process services. We are part of the NTT family of companies, a partner to 85 % of the Fortune 100.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Plano, TX, US

Year founded

1967

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