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Machine Learning Data Engineer Jobs in New Jersey

Instacart

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...

New

Instacart

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...

New

Instacart

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...

New

Instacart

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...

Posted today

DPR Construction

MLOps Engineer

East Brunswick, NJ · On-site

We are looking for aMLOps Engineerto join our team and contribute to developing robust data solutionsto support our Machine Learning,Data Science, Data Engineering and Software Engineering. Position ...

Monitise

Sr. Data Engineer

Berkeley Heights, NJ · On-site

$128K - $216K/yr

Job Title Sr. Data Engineer About the role: You will play a key role in designing and building ... Partner with data scientists to prepare training data and operationalize machine learning models ...

New

Fiserv, Inc.

Sr. Data Engineer

Berkeley Heights, NJ · On-site

$128K - $216K/yr

Job Title Sr. Data Engineer About the role: You will play a key role in designing and building ... Partner with data scientists to prepare training data and operationalize machine learning models ...

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All JobsMachine Learning Data Engineer JobsMachine Learning Data Engineer Jobs in New Jersey

Machine Learning Data Engineer information

See New Jersey salary details

$45.2K

$131.7K

$180.2K

How much do machine learning data engineer jobs pay per year?

As of Jul 17, 2026, the average yearly pay for machine learning data engineer in New Jersey is $131,693.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,200.00 and $139,600.00 per year, depending on experience, location, and employer.

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

To thrive as a Machine Learning Data Engineer, you typically need strong programming skills in Python or Scala, a deep understanding of data structures, algorithms, and machine learning concepts, as well as a degree in computer science or a related field. Experience with big data tools like Spark, Hadoop, and cloud platforms such as AWS or Azure, along with knowledge of data pipelines and ETL processes, is highly valuable; certifications in these areas can be advantageous. Problem-solving ability, attention to detail, and strong communication skills help professionals excel when working with diverse technical teams and stakeholders. These skills ensure data engineers can effectively build reliable, scalable data systems that support the development and deployment of machine learning models.

Can a data engineer become a machine learning engineer?

A data engineer can transition to a machine learning engineer role by gaining knowledge of machine learning algorithms, model development, and deployment techniques. Skills in programming languages like Python, experience with frameworks such as TensorFlow or PyTorch, and understanding of data pipelines are essential for this progression.

What is a Machine Learning Data Engineer job?

A Machine Learning Data Engineer is responsible for designing, building, and maintaining the data infrastructure that supports machine learning models. They develop data pipelines, ensure data quality, and optimize data storage for efficient processing. This role involves working with large-scale datasets, implementing ETL processes, and collaborating with data scientists to deploy machine learning models. Strong knowledge of databases, cloud platforms, and programming languages like Python and SQL is essential. Their work enables organizations to leverage machine learning effectively by providing reliable and scalable data solutions.

Will MLE be replaced by AI?

Machine Learning Data Engineers (MLEs) design, build, and maintain data pipelines and models that AI systems rely on. While AI automation tools can handle some tasks, MLE skills in data engineering, programming, and system architecture remain essential for developing and managing AI infrastructure effectively. The role is expected to evolve with advancements in AI, but it is unlikely to be fully replaced in the near future.

What are the typical daily responsibilities of a Machine Learning Data Engineer?

As a Machine Learning Data Engineer, your daily responsibilities often include designing, building, and maintaining data pipelines that efficiently move and transform data for machine learning applications. You may clean, preprocess, and validate large datasets, optimize storage solutions, and work closely with data scientists to ensure data is accessible and usable for model training and evaluation. Regular collaboration with software engineers and business analysts is common to align project goals and solve data-related challenges. Staying up to date with the latest tools and technologies is also important, as you'll help enable scalable and efficient deployment of machine learning solutions.

What engineers make $500,000?

Senior machine learning data engineers with extensive experience, advanced skills in data architecture, and proficiency in tools like Spark and cloud platforms can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a combination of technical expertise, leadership responsibilities, and industry reputation.

What is a $900000 AI job?

A $900,000 AI-related job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers or AI research directors, often requiring advanced skills in deep learning, data modeling, and experience with tools like TensorFlow or PyTorch. These positions usually involve leadership responsibilities, strategic planning, and may require multiple years of specialized experience or advanced degrees. Compensation at this level reflects the value of expertise in developing and deploying complex AI systems in competitive industries.
What are popular job titles related to Machine Learning Data Engineer jobs in New Jersey? For Machine Learning Data Engineer jobs in New Jersey, the most frequently searched job titles are:
What job categories do people searching Machine Learning Data Engineer jobs in New Jersey look for? The top searched job categories for Machine Learning Data Engineer jobs in New Jersey are:
Machine Learning Data Engineer jobs near you
Infographic showing various Machine Learning Data Engineer job openings in New Jersey as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $131,693 per year, or $63.3 per hour.
Sr Machine Learning / AI Engineer - Remote

Sr Machine Learning / AI Engineer - Remote

NAVA Software Solutions

Jersey City, NJ • On-site, Remote

$134K - $176K/yr

Full-time

Re-posted 14 days ago

Job description

NAVA Software solutions is looking for a Senior Machine Learning / AI Engineer
Details:
Senior Machine Learning / AI Engineer
Location: Remote
Duration: 1+ year
About the Project
The team has developed an intelligent search solution that includes mobile integration. The next phase focuses on extending member benefits and provider search capabilities to enable greater self-service, while leveraging AI to support intentional prompting and member decision-making.
The selected candidate will play a key role in enhancing AI-driven features, integrating advanced models, and strengthening the data and deployment pipeline across multiple platforms and channels.
Summary of Duties & Responsibilities
  • Design, develop, and implement AI/ML models and frameworks to enhance member experience and decision-making.
  • Extend intelligent search functionalities with advanced natural language and retrieval capabilities.
  • Build and manage ML pipelines connecting platform, AI, and channel teams (DevOps focus).
  • Implement Retrieval-Augmented Generation (RAG) and work with Large Language Models (LLMs) for conversational and decision-support systems.
  • Apply Model Context Protocols (MCPs) and integrate Knowledge Bases for contextual and dynamic AI responses.
  • Collaborate with cross-functional teams to embed AI-driven insights into digital member experiences.
  • Serve as a liaison between the enterprise AI team and application/DHP teams to ensure smooth integration.
  • Support onboarding, configuration, and integration of new AI components and models.
  • Participate in testing, validation, and continuous improvement of deployed AI models and systems.
  • Collaborate with data engineering teams to ensure AI models are integrated with data pipelines, data lakes, and enterprise systems.

Required Skills & Qualifications
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
  • 3+ years of experience in Machine Learning, Artificial Intelligence, or related software engineering roles.
  • Proven experience designing and coding AI/ML solutions end-to-end (Python, PyTorch, TensorFlow, etc.).
  • Strong understanding of Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs).
  • Experience implementing or utilizing Model Context Protocols (MCPs).
  • Understanding of Knowledge Base architecture and integration into enterprise applications.
  • Hands-on experience with DevOps practices for ML pipelines and model deployment (CI/CD, containerization, monitoring).
  • Experience deploying AI solutions in cloud environments (Azure or AWS preferred).
  • Familiarity with data storage, ETL processes, and integration with enterprise data systems.
  • Excellent communication and collaboration skills, able to interface between technical and business teams.

Preferred Qualifications
  • Experience in healthcare or member services domains.
  • Familiarity with intelligent search systems, recommendation engines, or conversational AI.
  • Knowledge of data governance, model security, and compliance best practices.
  • Experience working in agile environments (Scrum, Kanban).
  • Exposure to MLOps practices and cloud data pipelines.
NAVA Software Solutions logo

About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

Social media

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