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

Python & ML Frameworks: Strong proficiency in Python, with practical experience using PyTorch and ... Engineering Practices: Dedication to CI/CD pipelines, TDD, and automated code quality standards.

Python & ML Frameworks: Strong proficiency in Python, with practical experience using PyTorch and ... Engineering Practices: Dedication to CI/CD pipelines, TDD, and automated code quality standards.

AWS Cloud Engineer

Malvern, PA · On-site

$54.75 - $73/hr

Develop scalable services and APIs using TypeScript and Python. * Design and maintain microservices ... AI / ML Engineering * Build and integrate AI-driven features (LLMs, intelligent APIs, automation ...

Data Engineer

Malvern, PA · On-site

$112K - $134K/yr

RIT Solutions, Inc. is seeking an experienced Data Engineer to join their AI/ML Engineering team ... Python (including PySpark, PySQL) and familiarity with machine learning libraries and frameworks ...

Develop scalable services and APIs using TypeScript and Python. * Design and maintain microservices ... AI / ML Engineering * Build and integrate AI-driven features (LLMs, intelligent APIs, automation ...

Showing results 41-60

Python Ml Developer information

See Camden, NJ salary details

$13

$59

$87

How much do python ml developer jobs pay per hour?

As of Aug 20, 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 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 are the key skills and qualifications needed to thrive as a Python ML Developer?

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 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:

Infographic showing various Python Ml Developer job openings in Camden, NJ as of August 2026, with employment types broken down into 1% Internship, 85% Full Time, 8% Part Time, and 6% Contract. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution, with an average salary of $123,016 per year, or $59.1 per hour.

Developer (AI/ML Scientist)

RIT Solutions, Inc.

Malvern, PA • On-site

Full-time

Re-posted 6 days ago


Job description

Job Summary:
RIT Solutions, Inc. is seeking a Senior AI/ML Scientist to join their team. In this role, you will help advance AI/ML initiatives by building scalable solutions that improve operational efficiency and reduce enterprise risk, while collaborating with cross-functional partners.
Responsibilities:
• Are you excited to solve real‐world business challenges by advancing Generative AI (GenAI) and modern AI/ML techniques? Do you enjoy bridging applied engineering, experimentation, and clear communication to deliver practical impact? If so, we invite you to join our team.
• As a Senior AI/ML Scientist at Vanguard, you will help advance AI/ML initiatives aligned with our Global Risk & Security (GR&S) organization. You will build scalable, value‐driven solutions that improve operational efficiency and reduce enterprise risk, working closely with cross‐functional partners to drive outcomes through strong technical execution and clear communication.
• AI/ML & GenAI Solution Leadership: Lead the design, development, and evaluation of AI/ML and GenAI solutions, identifying high‐impact opportunities and reviewing in‐development models for quality, robustness, and fitness for purpose.
• Product & Business Partnership: Partner with product leaders and business stakeholders to prioritize AI features, models, and controls; serve as a trusted AI/ML subject‐matter expert to drive measurable business outcomes.
• Model Quality & Governance: Design, implement, and manage model quality processes, including automated evaluation pipelines, human‐in‐the‐loop reviews, monitoring, and documentation aligned with responsible AI practices.
• Technology Evaluation & Adoption: Evaluate emerging technologies and vendor solutions, recommending best practices for responsible and secure adoption of third‐party AI capabilities.
• Cross‐Functional Collaboration: Work closely with business partners, engineers, risk and control teams, and external partners to align on requirements and deliver insights with urgency and clarity.
• Applied Research & Implementation: Translate research and experimentation into production‐ready solutions by exploring Client techniques, algorithms, and architectures applicable to real‐world problems.
• Communication & Knowledge Sharing: Clearly communicate complex technical concepts to both technical and non‐technical audiences; contribute to a culture of learning, reuse, and continuous improvement.
Qualifications:
Required:
• MS or PhD in Computer Science, Machine Learning, or a related quantitative field.
• 3+ years of industry experience delivering AI/ML solutions, including building, scaling, and optimizing training and inference workflows or APIs for deep learning models.
• 5+ years of hands‐on programming experience in Python.
• Demonstrated experience with open‐source and/or commercial large language models (LLMs) and ecosystems (e.g., Hugging Face, LangGraph, or similar platforms).
• Strong understanding of the GenAI landscape, including recent advancements, emerging trends, and principles of responsible and secure AI use.
• Excellent communication and consulting skills, with the ability to influence and explain complex concepts to technical and non‐technical stakeholders.
• Proven experience working in cross‐functional teams and balancing technical trade‐offs with business objectives.
Preferred:
• Experience with PySpark or distributed data processing frameworks is strongly preferred.
Company:
Jobdiva Job Portal: https://www1.jobdiva.com/candidates/myjobs/searchjobsdone.jsp?a=xbjdnwgjodtga1y1im2g881fkkeiwd0775lbvq8yqgps8vb2q36w2vj1ga6xxork&compid=-1 Recruitment (contingency search and campus selection). Founded in 2019, the company is headquartered in Arlington, USA, with a team of 201-500 employees. The company is currently Growth Stage.