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Machine Learning Contract Jobs in Union, NJ (NOW HIRING)

Contract Compensation: $50-$70/hour Location: San Francisco, CA (primarily in-person) Commitment ... Define schemas and structure for large-scale data pipelines to support machine learning operations.

Tech Lead

Morris Plains, NJ · On-site

$75 - $85/hr

Drive end-to-end ownership of strategic AI and machine learning initiatives from planning through ... We offer flexible hiring models, including contract, contract-to-hire, and direct placement to meet ...

Bronx, NY Do you have an interest in learning machine operations? Are you comfortable using a ... Steady, consistent work in a production setting Job Type & Location This is a Contract to Hire ...

AI Engineer

Manhattan, NY · On-site

$83/hr

W-2 Contract Client: To Be Discussed Later Work Authorization: USC GC H1B OPT-EAD This role sits at ... Experience working with video, image or sensor-based machine learning datasets. * Knowledge of ...

Contract * Design, develop, and implement statistical models and machine learning solutions to solve complex business problems. * Apply deep learning techniques including LSTM, N-BEATS, CNN, and RNN ...

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Machine Learning Contract information

See Union, NJ salary details

$14

$23

$31

How much do machine learning contract jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for machine learning contract in Union, NJ is $23.26, according to ZipRecruiter salary data. Most workers in this role earn between $20.10 and $25.96 per hour, depending on experience, location, and employer.

What is a Machine Learning Contract job?

A Machine Learning Contract job is a temporary or project-based role where professionals develop and implement machine learning models for a company. Contractors may work on tasks such as data preprocessing, model training, evaluation, and deployment. These roles are often remote or short-term, allowing companies to hire expertise for specific projects without long-term commitments.

What are the key skills and qualifications needed to thrive in the Machine Learning Contract position, and why are they important?

To thrive as a Machine Learning Contract professional, you need a solid background in programming (Python, R), data analysis, and machine learning algorithms, usually supported by a relevant degree in computer science or a related field. Familiarity with ML frameworks such as TensorFlow, PyTorch, and Scikit-learn, as well as experience with cloud platforms like AWS or Azure, is typically required. Strong problem-solving abilities, time management, and effective communication are standout soft skills in contract-based roles. These competencies are crucial for efficiently delivering project-based solutions, collaborating with clients, and staying adaptable to varied organizational needs.

What are the typical responsibilities and workflow for a Machine Learning Contract position?

As a Machine Learning Contract professional, you’ll often be brought in to design, build, and deploy machine learning models tailored to a client’s specific challenges, ranging from data preprocessing and exploratory analysis to model selection and performance tuning. You may also be responsible for documenting your work, presenting results to stakeholders, and advising on best practices for model integration. Contract positions frequently involve collaborating remotely with cross-functional teams and meeting project milestones within set timelines. This role is ideal for those who enjoy variety, autonomy, and leveraging their expertise across different industries and datasets.

What are the most commonly searched types of Machine Learning jobs in Union, NJ? The most popular types of Machine Learning jobs in Union, NJ are:
What job categories do people searching Machine Learning Contract jobs in Union, NJ look for? The top searched job categories for Machine Learning Contract jobs in Union, NJ are:
What cities near Union, NJ are hiring for Machine Learning Contract jobs? Cities near Union, NJ with the most Machine Learning Contract job openings:
Infographic showing various Machine Learning Contract job openings in Union, NJ as of July 2026, with employment types broken down into 1% As Needed, 64% Full Time, 15% Part Time, 1% Temporary, 14% Contract, and 5% Nights. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $48,372 per year, or $23.3 per hour.

Senior Fullstack Engineer

Publicis Groupe Holdings B.V

Manhattan, NY • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 15 days ago


Job description

Company description
Publicis Groupe is a global leader in communication and is positioned at every step of the value chain, from consulting to execution, combining marketing transformation and digital business transformation. Through a unified and fluid organization, Publicis Groupe partners with its clients across communication, media, data and technology to ensure access to the full breadth of capabilities in every market. Present in over 100 countries, Publicis Groupe employs around 103,000 professionals.
Overview
About the Role
We are building an internal analytics and model operations platform that lets business and analytics users configure machine learning pipelines, trigger long-running data jobs, monitor execution, and explore results in rich visual reports. The stack pairs a modern web front end with a Python API service, a relational database, and cloud data platforms where models and pipelines run.
This role leads delivery across the entire stack: user-facing flows, API contracts, job and report state management, and production hardening. You will work closely with data science, data engineering, and product to turn machine learning capabilities into reliable, intuitive experience.
Team Culture & Collaboration
You will build the application where analysts, business users and clients interact with and leverage machine learning models to drive real value and revenue. The work is full-stack, visible, and tied directly to client deliverables.
The team brings together decades of experience in marketing and AdTech and are all motivated to develop the best platform to drive client growth and innovation. The group is genuinely excited to work on this platform, and there is a real opportunity to own the work and learn from other disciplines like data science, generative AI, marketing intelligence, audience intelligence, machine learning engineering, and more.
Responsibilities
User Interface & Experience
  • Design and build modern web applications for model configuration, job submission, and report exploration
  • Translate data science and analytics pipelines into clear, validated user flows (builders, wizards, configuration panels)
  • Implement dashboards, selection forms, and report visualizations (charts, flow diagrams, maps, comparison views)
  • Own form validation, cascading field behavior, and error states so users cannot submit jobs that will predictably fail
  • Ensure usability, responsiveness, and consistent patterns across different model and report types

Backend APIs & Data Contracts
  • Extend Python API services with REST endpoints that expose curated data to the UI (dimension tables, report payloads, run configuration, exports)
  • Design JSON APIs that support efficient front-end consumption (filter metadata, report access by run identifier, enriched job status)
  • Collaborate on job orchestration flows: submission, execution logging, polling, callbacks, and navigation from run to report

Application State, Performance and Reliability
  • Manage client-side state and server synchronization for long-running jobs (in-progress reports, polling, retry, empty-data cases)
  • Establish and extend patterns for data fetching and caching to eliminate duplicate API calls and improve perceived performance
  • Harden edge cases: handles cases for no-data reports, manage parent/child job relationships, encoded path parameters, multi-audience exports, production release stability

Platform Integration
  • Integrate UI and APIs with orchestration layers, job metadata, ingested dimension tables, and report export pipelines
  • Support agent or tool facing workflows where platform capabilities are exposed to downstream consumers via APIs
  • Lead CI/CD for the application and support release cadence for front-end and back-end services

Cross-functional Collaboration
  • Partner with data scientists to understand model parameters, defaults, and validation rules
  • Partner with data engineering on pipeline contracts, preflight checks, and data sync behavior
  • Break work into incremental deliverables (API first, then UI) and ship against product epics

Qualifications
  • 6-8 years of building production internal or enterprise web applications
  • Strong front-end skills: React, TypeScript, modern component patterns (e.g. Next.js App Router, utility-first CSS, accessible component libraries)
  • Demonstrated back-end/API experience: Python and an async web framework (i.e. FastAPI or equivalent)
  • Solid understanding of REST APIs, JSON contracts, and client/server error handling
  • Experience integrating UIs with backend job systems or long-running workflows (polling, status transitions, callbacks)
  • Comfort reading SQL-shaped data models and collaborating on relational-database-backed APIs
  • Ability to own features vertically (API + UI + release)
  • Clear written and oral communication; experience working in Agile with data and engineering partners

Preferred Qualifications
  • Experience with cloud data platforms: job APIs, SQL warehouses, catalog-backed dimension and report tables (i.e. AWS, Google Cloud, etc.)
  • Familiarity with ML/analytics product surfaces: model cards, run configuration, report types, export/download flows
  • Deep experience with server-state management, caching, and polling
  • Data visualization: charting libraries, maps, or custom tooltip and axis work for analytics UIs
  • Exposure to agent or tool API patterns on internal platforms
  • Experience with cloud-hosted deploys (containers, load balancers, secrets management) and CI/CD
  • Multi-tenant or client-context routing (e.g. request context • schema or catalog selection)
  • Experience with Databricks (jobs, deployment, UC, Genie, etc.)

Additional information
Our Publicis Groupe motto "Viva La Différence" means we're better together, and we believe that our differences make us stronger. It means we honor and celebrate all identities, across all facets of intersectionality, and it underpins all that we do as an organization. We are focused on fostering belonging and creating equitable & inclusive experiences for all talent.
Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive. Our benefits package includes medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off.
If you require accommodation or assistance with the application or onboarding process specifically, please contact USMTTACompliance@publicis.com.
All your information will be kept confidential according to EEO guidelines.
Compensation Range: USD $112,290.00 - USD $179,712.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 8/12/2026.