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Contract Machine Learning Software Engineer Jobs in New Jersey

SageSure

Senior Machine Learning Engineer

Jersey City, NJ

$127K - $168K/yr

You'll work closely with Software Engineers and Data scientists to streamline machine learning pipelines and implement best practices for managing and deploying ML models. What you'd be doing:

Redolent, Inc.

AI/ML Software Engineer

Pennington, NJ · On-site

We are seeking an AI/ML Software Engineer for a contract position with a Global Financial ... Work closely with cross functional teams to build scalable applications, develop machine learning ...

Chefman

Machine Learning Engineer

Mahwah, NJ · On-site

Our mission is to make great cooking effortless through intelligent technology, guided experiences, and seamless integration between hardware, software, and AI. As a Machine Learning Engineer, you ...

SageSure

Senior Machine Learning Engineer

Jersey City, NJ · On-site

$127K - $168K/yr

You'll work closely with Software Engineers and Data scientists to streamline machine learning pipelines and implement best practices for managing and deploying ML models. What you'd be doing:

Autodesk

$111K - $145K/yr

Job Requisition ID # 26WD98377 Senior Machine Learning Test Engineer Location: United States East ... Your skills span test strategy, automation, and a little MLOps, with a strong software engineering ...

ATEC, LLC

Software Engineer (TGF)

NJ · On-site

$60K - $95K/yr

Software Engineer This position is located on-site at the FAA WJHTC, at the Atlantic City Airport ... Explore artificial intelligence and machine learning applications in simulation and training ...

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Contract Machine Learning Software Engineer information

How does a Contract Machine Learning Software Engineer typically collaborate with full-time team members during a project?

As a Contract Machine Learning Software Engineer, you will often work closely with full-time data scientists, software engineers, and product managers. Collaboration usually happens through regular stand-up meetings, code reviews, and shared documentation platforms. Despite being a contractor, you’re expected to integrate seamlessly with the team, communicate progress transparently, and adapt to the company’s workflows. Building strong relationships and proactively seeking feedback can help ensure your contributions align with the project’s goals and timelines.

What is the difference between Contract Machine Learning Software Engineer vs Data Scientist?

AspectContract Machine Learning Software EngineerData Scientist
CredentialsBachelor's or Master’s in CS, ML, or related fields; experience with ML frameworksBachelor's or Master’s in Statistics, Data Science, or related fields; strong analytical skills
Work EnvironmentProject-based, often remote, focused on developing ML models and softwareData analysis, visualization, and interpretation, often in research or business settings
Employer & Industry UsageTech companies, startups, consulting firms; used for deploying ML solutionsResearch institutions, finance, healthcare, and tech; used for insights and decision-making

The main difference is that Contract Machine Learning Software Engineers focus on developing and deploying ML models as software solutions, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but their primary objectives and work environments differ.

What are the key skills and qualifications needed to thrive as a Contract Machine Learning Software Engineer, and why are they important?

To thrive as a Contract Machine Learning Software Engineer, you need a strong background in computer science, proficiency in programming languages like Python, and expertise in machine learning algorithms, typically supported by a relevant degree or equivalent experience. Familiarity with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, along with knowledge of version control systems like Git, is essential. Strong problem-solving abilities, communication skills, and the ability to work independently or with cross-functional teams make someone stand out in this role. These skills ensure efficient delivery of scalable machine learning solutions that meet client requirements and project timelines.

What is a Contract Machine Learning Software Engineer?

A Contract Machine Learning Software Engineer is a professional who is hired on a temporary or project basis to design, develop, and deploy machine learning models and systems. They often work with organizations that need specialized expertise for a limited duration, helping to build algorithms, analyze data, and integrate AI solutions into existing software products. Contract engineers typically have strong backgrounds in programming, mathematics, and data science, and they may work remotely or on-site. Their responsibilities can range from data preprocessing and model training to deploying models in production environments. This arrangement allows companies to access advanced machine learning skills without committing to a full-time hire.
What are the most commonly searched types of Machine Learning Software Engineer jobs in New Jersey? The most popular types of Machine Learning Software Engineer jobs in New Jersey are:
What cities in New Jersey are hiring for Contract Machine Learning Software Engineer jobs? Cities in New Jersey with the most Contract Machine Learning Software Engineer job openings:
Contract Machine Learning Software Engineer jobs near you

Machine Learning Engineer

Seven Seven Software

Newark, NJ • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Must-Have
  • Bachelor's or Master's degree in computer science or other engineering disciplines such as electronics or electrical (Master's Degree preferred)
  • Should know the fundamentals of Applied Machine Learning
  • Strong computer science fundamentals include algorithms, data structures, multithreading, object-oriented development, distributed applications, client-server architecture.
  • Excellent coding skills with proficiency in Python framework, Java, and Scala
  • Knowledge of ML frameworks, libraries, data modeling. Software engineering principles and system design
  • Experience with any public cloud infrastructure (AWS, GCP, Azure)
  • Excellent analytical and problem-solving abilities.
  • Excellent communication and collaboration skills.

Good to Have:
  • Knowledge of AWS services
  • Experience with SageMaker framework
  • Good understanding of mathematics, statistics, and algorithms.
  • Building CI/CD Pipelines (MLOps)
  • Building APIs

Job Requirements

Apply