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North America · United States

Hire AI/ML Engineers in the United States

AI/ML engineers build production machine-learning and generative-AI features — from data pipelines and model training to LLM apps, evaluation and monitoring. Delivered for the United States with morning overlap with the East Coast (8–11 a.m. ET) plus evening on-call coverage for Central and West Coast teams.

AIUnited StatesHire AI/ML Engineers

Quick answer

Who provides ai/ml engineers in the United States?

NNT Software provides ai/ml engineers for clients in the United States remotely from India. With NNT Software you interview and select vetted AI/ML engineers, who work full-time on your product in your tools and time-zone overlap, billed monthly (100% advance or 50/50) with free replacement.

Key takeaways

  • Hire AI/ML Engineers for the United States, priced as per your requirements and budget.
  • Monthly billing · 100% advance or 50/50.
  • Delivered with morning overlap with the East Coast (8–11 a.m. ET) plus evening on-call coverage for Central and West Coast teams.
  • Serving 120 cities including New York, Los Angeles and Chicago.

Hire AI/ML Engineers in the United States: market overview

US companies come to offshore partners mainly for senior engineering capacity at sustainable cost — scaling a SaaS roadmap, adding QA or DevOps squads, or shipping a fintech or crypto MVP without a six-month hiring cycle. Within that market, hire ai/ml engineers is one of the engagements we are asked for most often.

Demand is strongest across Fintech, SaaS, Healthcare, E-commerce, Crypto & Web3 and Logistics, and every engagement is shaped by local working hours, payment habits and compliance expectations rather than a one-size-fits-all template.

United States market snapshot

FactorUnited States
RegionNorth America
CurrencyUSD
Time zoneET / CT / MT / PT
Business languagesEnglish and Spanish
Data-protection lawCCPA/CPRA and other state privacy laws, HIPAA for health data, GLBA for financial data
Key regulatorsSEC, FinCEN, CFPB, OCC, State money-transmitter regulators incl. NYDFS BitLicense
Popular payment railsACH, FedNow, RTP, Card networks, Stripe, Zelle
Leading sectorsFintech, SaaS, Healthcare, E-commerce, Crypto & Web3, Logistics
Cities we serve120
Overlap with our teamMorning overlap with the East Coast (8–11 a.m. ET) plus evening on-call coverage for Central and West Coast teams

United States business profile

Main business hubs

New York, San Francisco Bay Area, Los Angeles, Chicago, Austin, Seattle and Boston. We work with companies across these hubs remotely, with on-site workshops for larger engagements.

Economy

The world's largest economy, leading in software, finance, healthcare, retail and venture capital. That mix shapes the kind of hire ai/ml engineers we are asked to deliver in the United States.

Talent market

Top universities such as MIT, Stanford and Carnegie Mellon, but senior engineers are scarce and expensive. Many United States companies extend their teams with NNT engineers to move faster without long hiring cycles.

Digital infrastructure

Near-universal broadband, the largest cloud regions in the world and mature payments infrastructure. We design hosting, payments and integrations around this local infrastructure.

Working culture

Fast decision-making, written contracts, clear SLAs and a strong focus on ROI and security reviews. Our project managers adapt communication, documentation and meeting cadence accordingly.

What they do for the United States teams

LLM applications

Chatbots, agents and RAG.

Model training

Classification and forecasting.

Data pipelines

Clean, reliable data.

Evaluation

Accuracy and safety testing.

MLOps

Deployment and monitoring.

Computer vision

Image and video models.

How sectors in the United States use hire ai/ml engineers

Hire AI/ML Engineers for Fintech companies in the United States

Fintech businesses in the United States typically ask for llm applications first, then add data pipelines as they scale. Progress is tracked on onboarding completion rate and time to approve an application.

Hire AI/ML Engineers for SaaS companies in the United States

SaaS businesses in the United States typically ask for model training first, then add evaluation as they scale. Progress is tracked on release frequency and customer churn.

Hire AI/ML Engineers for Healthcare companies in the United States

Healthcare businesses in the United States typically ask for data pipelines first, then add mlops as they scale. Progress is tracked on appointment no-show rate and clinician admin time.

Hire AI/ML Engineers for E-commerce companies in the United States

E-commerce businesses in the United States typically ask for evaluation first, then add computer vision as they scale. Progress is tracked on checkout conversion and stock accuracy.

Hire AI/ML Engineers for Crypto & Web3 companies in the United States

Crypto & Web3 businesses in the United States typically ask for mlops first, then add llm applications as they scale. Progress is tracked on deposit-to-trade conversion and withdrawal processing time.

Hire AI/ML Engineers for Logistics companies in the United States

Logistics businesses in the United States typically ask for computer vision first, then add model training as they scale. Progress is tracked on on-time delivery rate and cost per drop.

Skills and technologies

  • Python
  • PyTorch
  • LLM APIs
  • LangChain
  • Vector databases
  • MLOps
  • Pandas
  • FastAPI

Typical use cases

AI agents

Support and sales automation.

Document AI

Extraction and classification.

Forecasting

Demand and risk models.

Search

Semantic and hybrid search.

Hosting and data residency for hire ai/ml engineers in the United States

For clients in the United States we usually host on AWS us-east-1/us-west-2, Azure East US/West US, Google Cloud us-central1. The choice balances latency for local users, CCPA/CPRA and other state privacy laws requirements on where personal data may be stored or transferred, and any sector rules your regulator sets. Backups and disaster-recovery copies follow the same residency decision.

Localising hire ai/ml engineers for the United States

Business in the United States is mainly conducted in English and Spanish. We build interfaces, notifications and documents ready for those languages, format dates, numbers and USD amounts the local way, and plan releases around the ET / CT / MT / PT working day.

Questions to answer before starting hire ai/ml engineers in the United States

  • Which customer segments in the United States come first — Fintech, SaaS and Healthcare?
  • Do we need English and Spanish from launch, or one language first?
  • Which of ACH, FedNow and RTP must be live on day one?
  • Does any activity need approval or registration with SEC?
  • Where must data be hosted under CCPA/CPRA and other state privacy laws?
  • Which cities do we pilot in — New York, Los Angeles and Chicago?

Hire AI/ML Engineers by city in the United States

Hire AI/ML Engineers in New York

Wall Street banks, hedge funds, fintech and media companies need secure trading, payments, compliance and data platforms. Typical starting point: model training.

Hire AI/ML Engineers in Los Angeles

Entertainment, streaming, D2C brands and ports drive demand for media apps, e-commerce and logistics software. Typical starting point: data pipelines.

Hire AI/ML Engineers in Chicago

Derivatives exchanges, insurers and freight companies modernise legacy trading, claims and logistics systems. Typical starting point: evaluation.

Hire AI/ML Engineers in Houston

Energy majors, healthcare systems and the port industry invest in field-service, IoT and analytics platforms. Typical starting point: mlops.

Hire AI/ML Engineers in Phoenix

Semiconductor fabs, data centres and fast-growing real estate need manufacturing, IoT and PropTech software. Typical starting point: computer vision.

Hire AI/ML Engineers in Philadelphia

Pharma, life sciences, universities and insurers require compliant healthcare and data systems. Typical starting point: llm applications.

Hire AI/ML Engineers in San Antonio

Military, cybersecurity and healthcare organisations seek secure enterprise applications. Typical starting point: model training.

Hire AI/ML Engineers in San Diego

Biotech, defence and telecom companies build data-heavy and connected-device products. Typical starting point: data pipelines.

Hire AI/ML Engineers in Dallas

Corporate headquarters, banks and telecom firms outsource enterprise development and cloud modernisation. Typical starting point: evaluation.

Hire AI/ML Engineers in San Jose

Silicon Valley hardware and SaaS companies add engineering capacity for product roadmaps. Typical starting point: mlops.

Hire AI/ML Engineers in Austin

SaaS, crypto and EV startups scale engineering teams quickly in a high-cost hiring market. Typical starting point: computer vision.

Hire AI/ML Engineers in Jacksonville

Fintech, banking operations and logistics firms automate back-office and payment processes. Typical starting point: llm applications.

Hire AI/ML Engineers in Fort Worth

Aerospace, logistics and manufacturing companies digitise operations and supply chains. Typical starting point: model training.

Hire AI/ML Engineers in Columbus

Insurance, retail headquarters and new chip plants need ERP, claims and analytics software. Typical starting point: data pipelines.

Hire AI/ML Engineers in Charlotte

America's second-largest banking centre, with demand for core banking, payments and compliance engineering. Typical starting point: evaluation.

Hire AI/ML Engineers in San Francisco

AI, fintech and SaaS startups seek extra engineering bandwidth and fast MVP delivery. Typical starting point: mlops.

Hire AI/ML Engineers in Indianapolis

Pharma, insurance and logistics businesses modernise enterprise systems. Typical starting point: computer vision.

Hire AI/ML Engineers in Seattle

Cloud-native, e-commerce and aerospace companies need AWS/Azure DevOps and data engineering. Typical starting point: llm applications.

Hire AI/ML Engineers in Denver

Aerospace, cannabis-tech, SaaS and energy firms build compliance and operations software. Typical starting point: model training.

Hire AI/ML Engineers in Washington, D.C.

Government contractors, NGOs and policy-driven fintechs require secure, accessible platforms. Typical starting point: data pipelines.

Hire AI/ML Engineers in Boston

Biotech, health-tech, edtech and asset managers require HIPAA-aware and data-intensive software. Typical starting point: evaluation.

Hire AI/ML Engineers in Nashville

The US healthcare-management capital, with heavy demand for health IT, billing and analytics. Typical starting point: mlops.

Hire AI/ML Engineers in Detroit

Automotive OEMs, suppliers and mobility startups invest in connected-vehicle and manufacturing software. Typical starting point: computer vision.

Hire AI/ML Engineers in Portland

Apparel brands, semiconductor firms and clean-tech companies build e-commerce and IoT solutions. Typical starting point: llm applications.

Hire AI/ML Engineers in Las Vegas

Gaming, hospitality and events companies need booking, loyalty and payments systems. Typical starting point: model training.

Hire AI/ML Engineers in Memphis

A global logistics hub where freight and distribution companies need tracking and warehouse software. Typical starting point: data pipelines.

Hire AI/ML Engineers in Louisville

Logistics, healthcare and manufacturing firms modernise operations platforms. Typical starting point: evaluation.

Hire AI/ML Engineers in Baltimore

Healthcare, cybersecurity and port logistics organisations seek secure applications. Typical starting point: mlops.

Hire AI/ML Engineers in Milwaukee

Industrial manufacturers and financial services firms digitise plants and back offices. Typical starting point: computer vision.

Hire AI/ML Engineers in Atlanta

Known as the payments capital of the US, with heavy demand for processor, fintech and logistics integrations. Typical starting point: llm applications.

Hire AI/ML Engineers in Miami

A Latin America gateway with a strong crypto, fintech, real estate and cross-border trade scene. Typical starting point: model training.

Hire AI/ML Engineers in Minneapolis

Retail headquarters, medtech and health insurers invest in commerce and healthcare platforms. Typical starting point: data pipelines.

Hire AI/ML Engineers in Tampa

Fintech, insurance and defence technology companies scale software teams. Typical starting point: evaluation.

Hire AI/ML Engineers in Orlando

Tourism, simulation and hospitality firms build booking, training and guest-experience apps. Typical starting point: mlops.

Hire AI/ML Engineers in Sacramento

State government, agritech and healthcare organisations modernise public-facing systems. Typical starting point: computer vision.

Hire AI/ML Engineers in Kansas City

Payments, animal-health and logistics companies need integration and data platforms. Typical starting point: llm applications.

Hire AI/ML Engineers in Raleigh

Research Triangle biotech, SaaS and fintech firms grow engineering capacity. Typical starting point: model training.

Hire AI/ML Engineers in Salt Lake City

'Silicon Slopes' SaaS and fintech companies scale product development. Typical starting point: data pipelines.

Hire AI/ML Engineers in Pittsburgh

Robotics, AI, healthcare and banking organisations build automation and data products. Typical starting point: evaluation.

Hire AI/ML Engineers in Cincinnati

Consumer-goods, retail and banking headquarters modernise enterprise and commerce systems. Typical starting point: mlops.

Hire AI/ML Engineers in St. Louis

Agritech, geospatial, healthcare and financial services firms invest in data platforms. Typical starting point: computer vision.

Hire AI/ML Engineers in Cleveland

Hospital systems, manufacturing and banking require modernised digital services. Typical starting point: llm applications.

Hire AI/ML Engineers in Newark & Jersey City

Pharma, insurance and Wall Street back offices need compliant enterprise software. Typical starting point: model training.

Hire AI/ML Engineers in Irvine

Medtech, gaming and real estate firms build regulated and consumer-facing apps. Typical starting point: data pipelines.

Hire AI/ML Engineers in Oakland

Fintech, logistics and climate-tech startups expand engineering bandwidth. Typical starting point: evaluation.

Hire AI/ML Engineers in Boise

Semiconductor, SaaS and agritech companies grow product teams in a tight talent market. Typical starting point: mlops.

Hire AI/ML Engineers in Brooklyn

Creative agencies, D2C brands and fintech startups. Typical starting point: computer vision.

Hire AI/ML Engineers in Jersey City

Back offices of Wall Street banks and fintechs. Typical starting point: llm applications.

Hire AI/ML Engineers in Stamford

Hedge funds, insurers and corporate headquarters. Typical starting point: model training.

Hire AI/ML Engineers in Hartford

Insurance capital with demand for claims and policy software. Typical starting point: data pipelines.

Hire AI/ML Engineers in Providence

Healthcare, education and design firms. Typical starting point: evaluation.

Hire AI/ML Engineers in Richmond

Banking, fintech and government contractors. Typical starting point: mlops.

Hire AI/ML Engineers in Arlington

Government contractors and cybersecurity firms. Typical starting point: computer vision.

Hire AI/ML Engineers in Durham

Research Triangle biotech and health-tech. Typical starting point: llm applications.

Hire AI/ML Engineers in Charleston

Software, logistics and aerospace companies. Typical starting point: model training.

Hire AI/ML Engineers in Savannah

Port logistics and manufacturing. Typical starting point: data pipelines.

Hire AI/ML Engineers in Birmingham

Banking, healthcare and engineering. Typical starting point: evaluation.

Hire AI/ML Engineers in New Orleans

Energy, port logistics and tourism. Typical starting point: mlops.

Hire AI/ML Engineers in Oklahoma City

Energy, aerospace and healthcare. Typical starting point: computer vision.

Hire AI/ML Engineers in Tulsa

Energy companies and a growing remote-work tech scene. Typical starting point: llm applications.

Hire AI/ML Engineers in Omaha

Insurance, payments and logistics headquarters. Typical starting point: model training.

Hire AI/ML Engineers in Des Moines

Insurance and financial services. Typical starting point: data pipelines.

Hire AI/ML Engineers in Madison

Health-tech, EHR vendors and university spin-outs. Typical starting point: evaluation.

Hire AI/ML Engineers in Ann Arbor

Automotive tech and research startups. Typical starting point: mlops.

Hire AI/ML Engineers in Grand Rapids

Furniture manufacturing and healthcare. Typical starting point: computer vision.

Hire AI/ML Engineers in Akron

Polymer, manufacturing and healthcare. Typical starting point: llm applications.

Hire AI/ML Engineers in Buffalo

Banking operations and healthcare. Typical starting point: model training.

Hire AI/ML Engineers in Rochester

Imaging, optics and healthcare. Typical starting point: data pipelines.

Hire AI/ML Engineers in Albany

State government and semiconductor research. Typical starting point: evaluation.

Hire AI/ML Engineers in Scottsdale

Fintech, health-tech and real estate firms. Typical starting point: mlops.

Hire AI/ML Engineers in Tucson

Aerospace, defence and optics. Typical starting point: computer vision.

Hire AI/ML Engineers in Albuquerque

Research labs and film production. Typical starting point: llm applications.

Hire AI/ML Engineers in El Paso

Cross-border logistics and manufacturing. Typical starting point: model training.

Hire AI/ML Engineers in The Woodlands

Energy companies and corporate campuses. Typical starting point: data pipelines.

Hire AI/ML Engineers in Plano

Corporate headquarters and fintech. Typical starting point: evaluation.

Hire AI/ML Engineers in Irving

Corporate HQs, logistics and fintech. Typical starting point: mlops.

Hire AI/ML Engineers in Frisco

Sports-tech, real estate and corporate campuses. Typical starting point: computer vision.

Hire AI/ML Engineers in Fort Lauderdale

Yachting, real estate and fintech. Typical starting point: llm applications.

Hire AI/ML Engineers in Boca Raton

Fintech, health-tech and real estate. Typical starting point: model training.

Hire AI/ML Engineers in Tallahassee

State government and research. Typical starting point: data pipelines.

Hire AI/ML Engineers in Palo Alto

Venture-backed AI and SaaS startups. Typical starting point: evaluation.

Hire AI/ML Engineers in Mountain View

Big-tech ecosystem and startups. Typical starting point: mlops.

Hire AI/ML Engineers in Sunnyvale

Hardware, semiconductor and SaaS firms. Typical starting point: computer vision.

Hire AI/ML Engineers in Santa Clara

Semiconductor and data-centre companies. Typical starting point: llm applications.

Hire AI/ML Engineers in Fremont

EV and advanced manufacturing. Typical starting point: model training.

Hire AI/ML Engineers in Santa Monica

"Silicon Beach" consumer apps and media-tech. Typical starting point: data pipelines.

Hire AI/ML Engineers in Pasadena

Science, aerospace and startup incubators. Typical starting point: evaluation.

Hire AI/ML Engineers in Long Beach

Port logistics and aerospace. Typical starting point: mlops.

Hire AI/ML Engineers in Riverside

Logistics warehouses and distribution. Typical starting point: computer vision.

Hire AI/ML Engineers in Bellevue

Cloud, gaming and SaaS companies. Typical starting point: llm applications.

Hire AI/ML Engineers in Redmond

Software and gaming ecosystem. Typical starting point: model training.

Hire AI/ML Engineers in Spokane

Healthcare and manufacturing. Typical starting point: data pipelines.

Hire AI/ML Engineers in Reno

Data centres, logistics and battery manufacturing. Typical starting point: evaluation.

Hire AI/ML Engineers in Honolulu

Tourism, defence and logistics. Typical starting point: mlops.

Hire AI/ML Engineers in Anchorage

Energy, logistics and aviation. Typical starting point: computer vision.

Hire AI/ML Engineers in Cambridge (Massachusetts)

Biotech, AI and robotics startups. Typical starting point: llm applications.

Hire AI/ML Engineers in Wilmington

Banking, credit cards and corporate registrations. Typical starting point: model training.

Hire AI/ML Engineers in Baton Rouge

Petrochemicals and state government. Typical starting point: data pipelines.

Hire AI/ML Engineers in Knoxville

Energy research and manufacturing. Typical starting point: evaluation.

Hire AI/ML Engineers in Chattanooga

Logistics, insurance and smart-city projects. Typical starting point: mlops.

Hire AI/ML Engineers in Arlington (Texas)

Entertainment venues, aerospace and logistics. Typical starting point: computer vision.

Hire AI/ML Engineers in Corpus Christi

Port, energy exports and petrochemicals. Typical starting point: llm applications.

Hire AI/ML Engineers in Lubbock

Agribusiness, healthcare and universities. Typical starting point: model training.

Hire AI/ML Engineers in McAllen

Cross-border retail and logistics. Typical starting point: data pipelines.

Hire AI/ML Engineers in Greenville

Automotive and advanced manufacturing. Typical starting point: evaluation.

Hire AI/ML Engineers in Columbia (South Carolina)

Insurance, government and healthcare. Typical starting point: mlops.

Hire AI/ML Engineers in Lexington

Equine industry, healthcare and universities. Typical starting point: computer vision.

Hire AI/ML Engineers in Huntsville

Aerospace, defence and space programmes. Typical starting point: llm applications.

Hire AI/ML Engineers in Little Rock

Retail headquarters region, healthcare and logistics. Typical starting point: model training.

Hire AI/ML Engineers in Jackson (Mississippi)

Healthcare and state government. Typical starting point: data pipelines.

Hire AI/ML Engineers in Sioux Falls

Banking and credit-card operations. Typical starting point: evaluation.

Hire AI/ML Engineers in Fargo

Agritech and software companies. Typical starting point: mlops.

Hire AI/ML Engineers in Boulder

Startups, climate-tech and research labs. Typical starting point: computer vision.

Hire AI/ML Engineers in Colorado Springs

Defence, space and cybersecurity. Typical starting point: llm applications.

Hire AI/ML Engineers in Provo

SaaS and consumer-tech startups. Typical starting point: model training.

Hire AI/ML Engineers in Santa Barbara

Software and aerospace startups. Typical starting point: data pipelines.

Hire AI/ML Engineers in San Bernardino

Logistics and warehouse operations. Typical starting point: evaluation.

Hire AI/ML Engineers in Stockton

Logistics, agriculture and port. Typical starting point: mlops.

Hire AI/ML Engineers in Newark

Airport logistics, insurance and healthcare. Typical starting point: computer vision.

Hire AI/ML Engineers in White Plains

Corporate offices and healthcare. Typical starting point: llm applications.

Pricing and billing

Monthly billing · 100% advance or 50/50. Rates and plan size are agreed as per your budget, quoted in USD or USD.

Working across time zones with United States

We work with morning overlap with the East Coast (8–11 a.m. ET) plus evening on-call coverage for Central and West Coast teams (ET / CT / MT / PT). You get a named account manager, weekly reports and direct access to the people doing the work through Slack, Teams, WhatsApp or email.

Next steps

Ready to discuss hire ai/ml engineers in the United States? Here is how to get started with NNT Software:

  • Share your goals, users, must-have features and timeline through the contact form, email or WhatsApp.
  • Join a free 30-minute discovery call with a solution architect — we sign an NDA first if you prefer.
  • Receive a written proposal within 48 hours: scope, milestones, team, timeline and fixed estimate.
  • Kick off with a discovery workshop and see working software in your first sprint demo.

Why choose N&T Software for Hire AI/ML Engineers in the United States

A technology partnership that feels structured, fast and dependable

We help businesses move from scattered tools and manual work to stable digital systems that are easier to manage, scale and improve over time. Our approach blends business understanding, practical execution and long-term support.

16+

Years of team experience

2,000+

Projects delivered

50+

In-house engineers

8

Own SaaS products

  1. 01

    Custom software aligned to your workflows

    Approval cycles, reporting and integrations designed around how your team actually works.

  2. 02

    A clear, predictable delivery process

    Discovery, fixed milestones, weekly demos and a shared backlog from kickoff to launch.

  3. 03

    Architecture built for growth

    Scalable, secure foundations ready for automation, AI, integrations and new markets.

  4. 04

    Long-term support after launch

    SLA-backed maintenance, monitoring and continuous improvement.

Frequently asked questions

Do you provide hire ai/ml engineers for companies in the United States?

Yes. NNT Software provides hire ai/ml engineers for clients in the United States remotely from India, with morning overlap with the East Coast (8–11 a.m. ET) plus evening on-call coverage for Central and West Coast teams and a dedicated account manager.

Which sectors in the United States do you support?

Mostly Fintech, SaaS, Healthcare, E-commerce, Crypto & Web3 and Logistics.

How is hire ai/ml engineers billed in the United States?

Monthly billing · 100% advance or 50/50, quoted in USD or USD as per your budget.

How quickly can I hire AI/ML engineers from NNT Software?

Shortlisted profiles are usually shared within 2–5 business days, and engineers can start within 1–2 weeks of selection.

Can I interview the AI/ML engineers before hiring?

Yes. You review CVs, run technical interviews and can give a practical task before anyone joins your project.

Hire AI/ML Engineers in nearby markets

Ready to hire ai/ml engineers in the United States?

Share your idea and get a free consultation, a clear plan and a written estimate within 48 hours.