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Python Ml Developer Jobs in Camden, NJ (NOW HIRING)

Marencor

Python/AI/ML Engineer

Malvern, PA · On-site

Python/AI/ML Engineer They are looking for an expert engineer ... developer with a year or two experience with generative AI (genAI is only a few years old from the ...

SANS

AI/ML Developer with Data Engineering

Philadelphia, PA

$115.50K - $138.70K/yr

AI/ML Engineer with strong Data engineering backround Must have investment services, investment ... If they are fluent with Python and API development and streaming systems like Kafka or similar

Acess Global

Sr ML Engineer

Malvern, PA · On-site

$102.50K - $140.80K/yr

Job Title: Sr ML Engineer Location: CITY - Malvern, PA Duration: 6 months Experience Required: 8-10 ... Python and ML frameworks (TensorFlow / PyTorch / Scikit‑learn) Experience building scalable ML ...

Aptino

AI ML Engineer

Malvern, PA · Hybrid

Work with large datasets and perform feature engineering * Integrate ML models into applications ... Strong proficiency in Python (and/or Java, Scala) * Solid understanding of machine learning ...

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$59

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How much do python ml developer jobs pay per hour?

As of May 30, 2026, the average hourly pay for python ml developer in Camden, NJ is $59.14, according to ZipRecruiter salary data. Most workers in this role earn between $48.75 and $67.16 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Python ML Developer, and why are they important?

To thrive as a Python ML Developer, you need strong programming skills in Python, a solid understanding of machine learning algorithms, and a background in mathematics or statistics, often supported by a degree in computer science, engineering, or a related field. Familiarity with tools and libraries such as TensorFlow, scikit-learn, PyTorch, and version control systems like Git is essential, along with experience using data visualization and cloud platforms. Critical soft skills include problem-solving, adaptability, and effective communication to collaborate with cross-functional teams and explain complex models to stakeholders. These skills ensure the successful development, deployment, and maintenance of machine learning solutions that drive business value.

What are some common challenges Python ML Developers face when deploying machine learning models to production?

Python ML Developers often encounter challenges such as ensuring model scalability, managing dependencies, and maintaining reproducibility when deploying models into production environments. Integrating machine learning models with existing systems can require close collaboration with DevOps and software engineering teams to streamline workflows and automate deployment pipelines. Additionally, monitoring model performance over time and handling data drift are crucial responsibilities to ensure continued accuracy and reliability of deployed solutions.

What does a Python ML Developer do?

A Python ML Developer designs, builds, and deploys machine learning models using the Python programming language. They work with large datasets, clean and process data, select appropriate algorithms, and use libraries like TensorFlow, PyTorch, or scikit-learn to implement solutions. Their work often involves collaborating with data scientists and engineers to integrate machine learning models into applications. Additionally, they may be responsible for testing, tuning, and optimizing models to achieve the best possible performance in real-world scenarios.

What is the difference between Python Ml Developer vs Data Scientist?

AspectPython Ml DeveloperData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; Python, ML certificationsBachelor's/Master's in Data Science, Statistics, or related; Python, ML certifications
Work EnvironmentSoftware development teams, AI/ML projectsResearch, data analysis, modeling teams
Employer & Industry UsageTech companies, startups, AI firmsFinance, healthcare, tech, research institutions
Common Search & ComparisonYesYes

Python ML Developers focus on building and deploying machine learning models using Python, often working closely with software engineering teams. Data Scientists analyze data, create models, and generate insights, often using Python along with statistical tools. While both roles require Python and ML knowledge, Python ML Developers are more involved in implementation and deployment, whereas Data Scientists focus on data analysis and research.

What job categories do people searching Python Ml Developer jobs in Camden, NJ look for? The top searched job categories for Python Ml Developer jobs in Camden, NJ are:
What cities near Camden, NJ are hiring for Python Ml Developer jobs? Cities near Camden, NJ with the most Python Ml Developer job openings:
Python Ml Developer jobs near you
Infographic showing various Python Ml Developer job openings in Camden, NJ as of May 2026, with employment types broken down into 70% Full Time, and 30% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $123,016 per year, or $59.1 per hour.

Python/AI/ML Engineer

Marencor

Malvern, PA • On-site

Contractor

Posted 17 days ago

Job description


Location: Malvern, PA. M/F Remote. T/W/TH On-site
Length: 18 months +
Interview Process: 2 steps. 2nd round is an on-site interview, so candidates must be close enough to make it

Position: Python/AI/ML Engineer
They are looking for an expert engineer/developer with a year or two experience with generative AI (genAI is only a few years old from the perspective of the user).
Day to day:
* Develop, test, and deploy AI/ML solutions to address various business needs
* Collaborate with data scientists, product managers, and other stakeholders to understand requirements and deliver solutions
* Optimize and maintain existing AI/ML models to ensure they perform efficiently and accurately
Must haves:
* Expertise with SQL and the Python programming language
*Experience with a variety of Python's frameworks and libraries for AI/ML development (e.g. anthropic, TensorFlow, scikit-learn, etc.)
* Experience building AI/ML solutions on AWS
* 1-2 years with GenAI
* Familiarity with data engineering practices such as time series data and fact-based data and tools such as Python's Polars package