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Ai Machine Learning Engineer Jobs in New Jersey (NOW HIRING)

asrcfh

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 ... Implementing emerging AI/ML solutions from commercial and academic domains to support military and ...

Lorven Technologies

AI Engineering/Delivery Lead

Newark, NJ · On-site

$107K - $141K/yr

Hi, Our client is looking Lead Machine Learning Engineer - for Contract project in Newark, NJ is ... Strong experience in Traditional Machine Learning and Agentic AI. * Expertise in MLOps, Model ...

Prudential

Lead, Machine Learning Engineer

Newark, NJ · On-site

As a Director, Machine Learning Engineer on/in >, you will partner with Data Scientists, Data ... AI Frameworks like TensorFlow, PyTorch, scikit-learn etc., Neural network, NLP, computer vision ...

Workiva

$40/hr

... Machine Learning Engineer * Help integrate tools such as LlamaIndex and LlamaParse into existing ... Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation ...

Workiva

$40/hr

... Machine Learning Engineer * Help integrate tools such as LlamaIndex and LlamaParse into existing ... Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation ...

Crowe LLP

Machine Learning Engineer

Livingston, NJ

$62K - $100K/yr

As an AI Engineering team member, you will be instrumental in advancing new features and/or solutions from the Proof of Concept stage to full production readiness. Your role involves refining and ...

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All JobsAi Machine Learning Engineer JobsAi Machine Learning Engineer Jobs in New Jersey

Ai Machine Learning Engineer information

See New Jersey salary details

$32K

$130.7K

$196.4K

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

As of Sep 8, 2026, the average yearly pay for ai machine learning engineer in New Jersey is $130,731.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,000.00 and $157,400.00 per year, depending on experience, location, and employer.

What is an AI machine learning engineer?

An AI Machine Learning Engineer is a professional who designs, builds, and deploys artificial intelligence and machine learning models to solve real-world problems. They work with large datasets, select appropriate algorithms, and optimize models for accuracy and efficiency. Their role often involves both software engineering and data science skills, and they collaborate with other teams to integrate these models into products or services. AI Machine Learning Engineers are in high demand across industries such as technology, healthcare, finance, and more.

What are the key skills and qualifications needed to thrive as an AI machine learning engineer?

To thrive as an AI Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (often Python or R), and a relevant degree such as computer science or engineering. Familiarity with frameworks like TensorFlow, PyTorch, and scikit-learn, as well as experience with cloud platforms and data processing tools, is highly valued, along with certifications in AI or machine learning. Critical thinking, problem-solving, and effective communication are essential soft skills for collaborating with teams and translating business needs into technical solutions. These competencies are crucial for developing accurate, scalable AI models that deliver real-world value and drive innovation.

What are some common challenges that AI machine learning engineers face when deploying models to production environments?

AI Machine Learning Engineers often encounter challenges such as ensuring model scalability, managing data pipeline reliability, and handling model drift once solutions are live. They also need to collaborate closely with DevOps and software engineering teams to integrate models seamlessly into existing systems, while maintaining performance and security. Addressing these challenges requires a strong understanding of both machine learning principles and software deployment best practices.

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

AspectAi Machine Learning EngineerData Scientist
CredentialsDegree in CS, AI, or related fields; certifications in ML frameworksDegree in CS, Statistics, or related fields; certifications in data analysis
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, where deploying ML models is keyResearch, business intelligence, analytics across industries

While both roles involve working with data and machine learning, Ai Machine Learning Engineers focus on building and deploying scalable ML models in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core focus and responsibilities.

Is AI Machine Learning Engineer in demand?

AI Machine Learning Engineers are in high demand due to the growing adoption of artificial intelligence across industries. They typically require skills in programming, data analysis, and familiarity with tools like TensorFlow or PyTorch, and job opportunities are expected to continue expanding as AI applications become more widespread.

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

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

What job categories do people searching Ai Machine Learning Engineer jobs in New Jersey look for?

The top searched job categories for Ai Machine Learning Engineer jobs in New Jersey are:

Ai Machine Learning Engineer jobs near you
Infographic showing various Ai Machine Learning Engineer job openings in New Jersey as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 20% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $130,731 per year, or $62.9 per hour.

Machine Learning Engineer - Forecasting & Production Systems

Mai Placement

Newark, NJ • On-site

Full-time

Posted 19 days ago

Job description

Machine Learning Engineer – Predictive Forecasting & Time Series

Newark, NJ
$150,000 – $200,000

Why This Role Exists

We are looking for a Machine Learning Engineer who has built predictive models around time-dependent data and deployed them into real production environments.

The primary focus is forecasting and predictive analytics used to improve decisions around demand, sales, inventory, purchasing, and operational planning.

This is not an LLM or generative AI role. We are specifically looking for experience building predictive models where time, historical patterns, seasonality, trends, and future outcomes matter.

What You Will Own

  • Build and improve production-grade forecasting and predictive models using time-dependent data.
  • Develop SKU-level, demand, sales, inventory, or other operational forecasting systems.
  • Own models from development through deployment, monitoring, retraining, and ongoing improvement.
  • Build and optimize data pipelines supporting predictive ML systems.
  • Measure model performance and continuously improve forecast accuracy.
  • Partner with business and operational teams to turn model outputs into better decisions.

What Success Looks Like

  • Forecasting accuracy improves measurably over time.
  • Predictive outputs are trusted and actively used by business teams.
  • Models perform reliably in production at meaningful data scale.
  • Forecasts improve purchasing, inventory, capacity, or operational decision-making.
  • Models can be iterated and deployed quickly as business conditions change.

What You Need

  • Proven experience building time series, temporal, forecasting, or other time-dependent predictive models.
  • Experience deploying machine learning models into production.
  • Strong Python and machine learning/statistical modeling skills.
  • Experience working with large transactional or operational datasets.
  • Experience building or supporting production ML data pipelines.
  • Ability to connect model performance to real business outcomes.

Especially Relevant Experience

Experience predicting outcomes such as:

  • Demand
  • Sales
  • Inventory requirements
  • Purchasing needs
  • Capacity
  • Production volume
  • Customer behavior over time
  • Other future operational or business outcomes

Experience with methods such as gradient boosting, regression, tree-based models, classical statistical forecasting, probabilistic forecasting, or deep-learning approaches to temporal data is relevant.

The important requirement is not a specific algorithm. It is evidence that you have successfully built predictive models where time-dependent data was central to the problem.

Email Resume: Joel@maiplacement.com
Apply Online: https://jobs.crelate.com/portal/maiplacement/job/57uddx43h4me63xrn6z1157iec

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