1

Machine Learning Contract Jobs in Princeton Junction, NJ

Be Seen First

AI Engineer

New York, NY · On-site

$60 - $70/hr

Our financial client is seeking an AI Engineer for a long-term, hybrid contract role in midtown ... machine learning and generative AI models for real-world use cases - Create and optimize prompts ...

New

Be Seen First

AI Engineer

New York, NY · On-site

$60 - $70/hr

Our financial client is seeking an AI Engineer for a long-term, hybrid contract role in midtown ... machine learning and generative AI models for real-world use cases - Create and optimize prompts ...

New

Account Executive

New York, NY · On-site

$150K - $160K/yr

Its proven technology supports fraud detection, customer 360, MDM, IoT, machine learning, and of ... Experience formulating and selling large contracts * Advanced degrees and/or technical expertise ...

The role requires a deep understanding of machine learning techniques and optimization algorithms ... and contract considerations. Depending on the position, employees may be eligible for overtime ...

The role requires a deep understanding of machine learning techniques and optimization algorithms ... and contract considerations. Depending on the position, employees may be eligible for overtime ...

The role requires a deep understanding of machine learning techniques and optimization algorithms ... and contract considerations. Depending on the position, employees may be eligible for overtime ...

ML Data Platform Engineer

New York, NY · On-site

$175K - $245K/yr

We are a small technical team working across machine learning, data infrastructure, software, and ... Own a dependable end-to-end data workflow, with documented contracts, quality checks, and clear ...

New

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 ...

Senior Data Scientist

Raritan, NJ · On-site

$50 - $55/hr

Contract Job Overview: Pay Range: $50.00hr - $55.00hr Requirement/Must Have: * Strong knowledge of machine learning principles and algorithms using TensorFlow and PyTorch. * Proficient in programming ...

Senior ML Infra Engineer

New York, NY · On-site

$200K - $275K/yr

We're reimagining what a contract can be in the AI age. We're a veteran team, with one successful ... Experience building production infrastructure for machine learning systems * Experience with cloud ...

Showing results 21-40

Machine Learning Contract information

See Princeton Junction, NJ salary details

$14

$24

$32

How much do machine learning contract jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for machine learning contract in Princeton Junction, NJ is $24.02, according to ZipRecruiter salary data. Most workers in this role earn between $20.77 and $26.83 per hour, depending on experience, location, and employer.

What is a machine learning contract?

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 typical responsibilities and workflow for a machine learning contract?

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 key skills and qualifications needed to thrive in a machine learning contract, 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 most commonly searched types of Machine Learning jobs in Princeton Junction, NJ?

The most popular types of Machine Learning jobs in Princeton Junction, NJ are:

What cities near Princeton Junction, NJ are hiring for Machine Learning Contract jobs?

Cities near Princeton Junction, NJ with the most Machine Learning Contract job openings:

Infographic showing various Machine Learning Contract job openings in Princeton Junction, NJ as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, and 2% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $49,971 per year, or $24 per hour.

$60 - $70/hr

Contractor

Posted 2 days ago

New

Be Seen First

After you apply to this job, you can share why you’re interested to jump to the top of the candidate list.


Job description

Our financial client is seeking an AI Engineer for a long-term, hybrid contract role in midtown Manhattan; 3 days onsite and 2 days remote per week.


Responsibilities include, but are not limited to:

- Design and build AI-driven solutions that improve business processes and user productivity

- Develop and deploy machine learning and generative AI models for real-world use cases

- Create and optimize prompts, embeddings, and retrieval strategies for AI applications

- Build and maintain pipelines for model training, evaluation, and inference

- Evaluate model performance using appropriate metrics and continuously improve accuracy and relevance

- Partner with business stakeholders to identify high-value AI use cases and translate them into working solutions

- Experiment with new AI techniques, models, and tools to improve outcomes and reduce manual effort

- Ensure responsible AI practices, including data privacy, governance, and model transparency

- Document models, experiments, and results to support reuse and scalability

- Provide technical guidance on AI best practices across teams

Required Skills

- 5 to 7 years of experience building AI or machine learning solutions in enterprise environments

- Strong experience with generative AI, including prompt engineering and retrieval-augmented generation

- Hands-on experience with Azure OpenAI, Azure Machine Learning, or similar platforms

- Strong programming skills in Python

- Experience training, fine-tuning, or adapting models for business use cases

- Experience working with structured and unstructured data, including text-heavy datasets

- Experience evaluating model performance and improving outputs through iteration

- Understanding of embeddings, vector search, and semantic retrieval

- Strong problem-solving skills with focus on measurable business outcomes

- Strong communication skills with ability to explain AI concepts to non-technical stakeholders

Beneficial Skills

- Experience with vector databases and semantic search platforms

- Experience with Databricks or large-scale data processing

- Experience with frameworks such as LangChain or similar

- Experience deploying AI solutions into production environments

- Familiarity with MLOps practices, model versioning, and monitoring

- Experience with Azure Functions, C#, or PowerShell for supporting automation

- Familiarity with data governance and security practices for AI systems

- Experience working in Agile or Scrum environments

- Microsoft or AI-related certifications