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Ai Data Developer Jobs in Maple Shade, NJ (NOW HIRING)

The Campbell's Company

Data Engineer, DA&AI Co-Op

Camden, NJ · On-site

$115K - $138K/yr

Data Engineer / AI Engineer (Co-op)We are seeking a motivated and curious Data Engineer / AI Engineer to join our team. This co-op / internship offers hands-on experience at the forefront of ...

The Campbell's Company

Data Engineer, DA&AI Co-Op

Camden, NJ · On-site

$115K - $138K/yr

Data Engineer / AI Engineer (Co-op)We are seeking a motivated and curious Data Engineer / AI Engineer to join our team. This co-op / internship offers hands-on experience at the forefront of ...

The Campbell's Company

Data Engineer, DA&AI Co-Op

Camden, NJ · On-site

$115K - $138K/yr

Data Engineer / AI Engineer (Co-op) We are seeking a motivated and curious Data Engineer / AI Engineer to join our team. This co-op / internship offers hands-on experience at the forefront of ...

Deloitte

Senior Manager Data Lead

Philadelphia, PA · On-site

Join our AI & Engineering team in transforming technology platforms, driving innovation, and ... Design and implement cloud and hybrid data architectures, migration approaches, and technology ...

The Campbell's Company

Data Engineer, DA&AI Co-Op

Camden, NJ · On-site

$115K - $138K/yr

Data Engineer / AI Engineer (Co-op)We are seeking a motivated and curious Data Engineer / AI Engineer to join our team. This co-op / internship offers hands-on experience at the forefront of ...

Pwc

AI & GenAI Data Scientist - Manager

Philadelphia, PA

$99K - $232K/yr

In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy ... Your work will involve designing AI systems, data wrangling, and software implementation to enable ...

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All JobsAi Data Developer JobsAi Data Developer Jobs in Maple Shade, NJ

Ai Data Developer information

See Maple Shade, NJ salary details

$16

$56

$81

How much do ai data developer jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for ai data developer in Maple Shade, NJ is $56.54, according to ZipRecruiter salary data. Most workers in this role earn between $46.39 and $66.97 per hour, depending on experience, location, and employer.

What is the difference between Ai Data Developer vs Data Scientist?

AspectAi Data DeveloperData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; knowledge of AI frameworksBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops AI models, integrates AI solutions into applicationsAnalyzes data, builds predictive models, interprets data trends
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, tech firms

While both roles involve working with data and AI, Ai Data Developers focus on creating and deploying AI models within applications, whereas Data Scientists analyze data to extract insights and build predictive models. The roles often overlap but differ mainly in their primary focus and application environment.

What job categories do people searching Ai Data Developer jobs in Maple Shade, NJ look for?

The top searched job categories for Ai Data Developer jobs in Maple Shade, NJ are:

What cities near Maple Shade, NJ are hiring for Ai Data Developer jobs?

Cities near Maple Shade, NJ with the most Ai Data Developer job openings:

Ai Data Developer jobs near you
Infographic showing various Ai Data Developer job openings in Maple Shade, NJ as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $117,613 per year, or $56.5 per hour.

Data Engineer - Agentic AI & ML Ops (Co-op)

Pepperidge Farm, Incorporated

Camden, NJ • On-site

$115K - $138K/yr

Full-time

Re-posted 26 days ago

Pepperidge Farm rating

6.9

Company rating: 6.9 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

242nd of 445 rated food and drinks producers

Job description

Since 1869, we've connected people through food they love. We're proud to be stewards of amazing brands that people trust. Our portfolio includes the iconic Campbell's brand, as well as Cape Cod, Chunky, Goldfish, Kettle Brand, Lance, Late July, Pacific Foods, Pepperidge Farm, Prego, Pace, Rao's Homemade, Snack Factory, Snyder's of Hanover.Swanson, and V8.

Here, you will make a difference every day. You will be supported to build a rewarding career with opportunities to grow, innovate and inspire. Make history with us.

Operational Support Data Engineer - Agentic AI & ML Ops (Co-op)

  • We are seeking a motivated and curious Data Engineer - Agentic AI & ML Ops to join our Enterprise Data & Analytics team. This co-op provides hands-on experience supporting cloud-based data platforms, AI/ML operations, Generative AI, and Agentic AI solutions.
  • You will work with Databricks, Snowflake, Azure, ADLS, ADF, Power BI, Python, PySpark, SQL, LLMs, and modern AI/ML frameworks in an Agile environment.
  • If you are passionate about data engineering, AI, and automation, we want to hear from you.

Key Responsibilities

  • Build Data & AI Pipelines: Develop and support ETL/ELT pipelines and AI/ML workflows.
  • Data Integration & Transformation: Ingest, transform, and orchestrate data using Python, PySpark, and SQL.
  • Develop Agentic AI Solutions: Build and test AI agents and intelligent workflows for automation and data access.
  • LLM & Prompt Engineering: Design and optimize prompts and workflows using LLMs and GenAI frameworks.
  • AI/ML Development & Automation: Build Python-based scripts, APIs, and notebooks on cloud platforms.
  • Support Analytics & AI/ML: Prepare datasets for reporting, ML models, forecasting, and advanced analytics.
  • Monitor & Support Operations: Troubleshoot pipeline failures, performance issues, and data quality gaps.
  • MLOps & CI/CD: Support deployment, testing, and automation for data and AI solutions.
  • Data Modeling & Semantic Layers: Assist with STTM, data modeling, and reporting datasets.
  • Agile Collaboration: Participate in sprint planning, stand-ups, and retrospectives.
  • Documentation & Automation: Create runbooks, workflows, and technical documentation.

Learning & Development Opportunities

  • Hands-on experience with Databricks, Snowflake, Azure, ADLS, ADF, and Power BI.
  • Exposure to MLOps, GenAI, Agentic AI, LLMs, CI/CD, and automation.
  • Experience working with AI agents, prompt engineering, and workflow orchestration.
  • Mentorship from Data, AI/ML, and Platform Engineers.
  • Experience in Agile/Scrum and DevOps/MLOps environments.

Qualifications

  • Pursuing a degree in Computer Science, Data Engineering, Data Science, AI/ML, or related field.
  • Knowledge of SQL, Python/PySpark, ETL/ELT, and APIs.
  • Familiarity with Databricks, Snowflake, Azure, ADLS, ADF, Power BI, or Git is a plus.
  • Exposure to LLMs, GenAI, Agentic AI, MLOps, or CI/CD is beneficial.
  • Experience with Python-based AI/ML projects or notebooks is a plus.
  • Strong analytical and problem-solving skills.
  • Strong communication and teamwork skills.

The Company is committed to providing equal opportunity for employees and qualified applicants in all aspects of the employment relationship, including consideration for employment, without regard to race, color, sex, sexual orientation, gender identity, national origin, citizenship, marital status, protected veteran status, disability, age, religion, or any other classification protected by law.

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