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Machine Learning Architect Jobs in New Jersey (NOW HIRING)

Architect robust, high-performance ML infrastructure and data pipelines that support training ... machine learning models in production, with a track record of delivering large‑scale systems.

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Architect the integration of AI components into the existing SaaS infrastructure, ensuring ... Strong proficiency in AI technologies, machine learning, and deep learning frameworks. * Previous ...

Architect the integration of AI components into the existing SaaS infrastructure, ensuring ... Strong proficiency in AI technologies, machine learning, and deep learning frameworks. * Previous ...

... architecture • Experience with unsupervised learning including clustering algorithms and manifold learning. • Requires mastery of knowledge within multiple job areas typically obtained through ...

We are currently seeking a Senior Machine Learning Engineer to join our team in Moorestown, NJ ... Experience with LLM prompting and Transformer architecture Preferred Qualifications: * Hands-on ...

Senior Machine Learning Engineer

Moorestown, NJ · On-site

$103K - $141K/yr

We are currently seeking a Senior Machine Learning Engineer to join our team in Moorestown, NJ ... Experience with LLM prompting and Transformer architecture Preferred Qualifications: * Hands-on ...

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Machine Learning Architect information

See New Jersey salary details

$47.2K

$130.7K

$204.6K

How much do machine learning architect jobs pay per year?

As of Sep 11, 2026, the average yearly pay for machine learning architect in New Jersey is $130,717.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,400.00 and $168,500.00 per year, depending on experience, location, and employer.

What does a machine learning architect do?

A Machine Learning Architect designs and oversees the implementation of machine learning systems, ensuring they are scalable, efficient, and aligned with business goals. They collaborate with data scientists, engineers, and stakeholders to define system architecture, select appropriate technologies, and optimize model deployment. Their role includes managing ML workflows, ensuring data pipeline integrity, and addressing challenges like model performance, scalability, and reliability.

What skills and qualifications are needed to be a machine learning architect?

To thrive as a Machine Learning Architect, you need deep expertise in machine learning algorithms, data science, and software engineering, typically backed by an advanced degree in computer science or a related field. Familiarity with cloud platforms (like AWS, Azure, or GCP), ML frameworks (such as TensorFlow and PyTorch), and professional certifications in machine learning or data engineering is highly valuable. Exceptional problem-solving, leadership, and cross-functional communication skills help you effectively design solutions and collaborate with diverse technical teams. These skills are essential for architecting robust, scalable ML systems that align with business objectives and drive innovation.

What is the salary of a machine learning architect?

The salary of a machine learning architect typically ranges from $100,000 to $160,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in deep learning, cloud platforms, or specific tools may earn higher compensation, often exceeding $180,000 per year.

What are popular job titles related to Machine Learning Architect jobs in New Jersey?

For Machine Learning Architect jobs in New Jersey, the most frequently searched job titles are:

Infographic showing various Machine Learning Architect job openings in New Jersey as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $130,717 per year, or $62.8 per hour.

Machine Learning Developer

Jersey City, NJ • On-site

$60 - $70/hr

Other

Posted yesterday

New


Job description

We have partnered with our client in their search for a Machine Learning Python Developer for a contract to hire opportunity in Jersey City, NJ.

Responsibilities
  • Lead the end-to-end design, development, and deployment of scalable machine learning models and systems in production.
  • Architect robust, high-performance ML infrastructure and data pipelines that support training, validation, and real-time inference.
  • Drive technical decision-making, setting standards for code quality, model governance, and MLOps practices.
  • Mentor and provide technical guidance to junior and mid-level engineers through code reviews, pairing, and knowledge sharing.
  • Partner with data scientists to operationalize advanced research into reliable, production‑ready services.
  • Define and implement monitoring, observability, and automated retraining strategies to ensure model reliability and detect drift.
  • Collaborate with product, engineering, and business leadership to shape ML roadmaps and translate strategic goals into technical deliverables.
  • Evaluate and introduce emerging ML technologies, frameworks, and methodologies to keep the organization at the forefront of innovation.
  • Own the technical health of ML systems, including performance optimization, cost efficiency, and scalability.
Skills Required
  • Expert-level programming skills in Python, with basic understanding in additional languages such as Java, Scala.
  • Advanced understanding of data structures, algorithms, distributed systems, and software engineering principles.
  • Extensive experience with cloud platforms (AWS) and containerization / orchestration (Docker, Kubernetes).
Preferred Qualifications
  • Advanced knowledge of deep learning, NLP, computer vision, or large language models.
  • Experience with distributed training, model optimization, and high‑throughput serving infrastructure.
  • Understanding of ML frameworks such as TensorFlow, PyTorch, or scikit‑learn.
  • Deep experience with MLOps tooling (MLflow, Kubeflow, SageMaker, Vertex AI) and CI/CD for ML.
  • Proven experience designing and maintaining large-scale data processing systems.
  • Demonstrated experience leading technical projects and mentoring engineers.
Education & Work Experience
  • Bachelor's or master's degree in computer science, Data Science, Engineering, or a related field.
  • 10+ years of hands‑on experience deploying machine learning models in production, with a track record of delivering large‑scale systems.
Location

Jersey City, NJ

Client Industry

FinTech

Compensation

$60-70/hr

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