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

Diverse Lynx

Python Developer

Princeton, NJ · On-site

$52.75 - $72.50/hr

... programming language (e.g., JavaScript/TypeScript, Java, Go) • Experience with modern web ... Python ML libraries (e.g., scikit-learn, pandas, NumPy) for simple data processing or ...

Melotech

AI/ML Engineer

New York, NY · On-site

What you will do As our ML Engineer, you'll be the technical backbone powering our content platform ... Expert-level proficiency in Python, ML frameworks, and cloud platforms * Extensive experience with ...

PSRTEK

Senior AI Security Engineer- REMOTE

New York, NY · On-site

$125K - $171K/yr

Senior AI Security Engineer Experience: 8+ Years Location: - Boston, MA(Remote) Required ... Python, ML frameworks (PyTorch, TensorFlow, scikit-learn), and production ML pipelines · ...

Melotech

AI/ML Engineer Intern

New York, NY · On-site

$18.25 - $23.75/hr

What you will do As our ML Engineer Intern, you'll be the technical backbone powering our content ... Proficiency in Python, ML frameworks, and cloud platforms * Self-directed approach with ability to ...

Marencor

AI/ML Data Scientist

New York, NY · On-site

AI/ML Data Scientist Location: New York, NY Role Summary: Develop and evaluate machine learning and ... Python ( XGBoost, LightGBM, sklearn, PyTorch ) * Conduct data profiling, feature engineering, model ...

E-Solutions

Python FS Developer

Raritan, NJ · On-site

... leveraging AI/ML models Key Responsibilities * Design, develop, and maintain full-stack ... Python . * Integrate GenAI models (e.g., LLMs, embeddings, prompt engineering) into web ...

Tata Consultancy Services

Python Developer

Pennington, NJ · On-site

$110K - $120K/yr

... Python & Backend • Strong expertise in Python programming and OOP concepts • Hands-on ... ML models into enterprise applications • Hands-on experience with OpenAI API, Azure OpenAI ...

IT America Inc

Lead Python Developer

New York, NY · Remote

$143K - $176K/yr

Lead Python Developer (Expert Level) Location: Remote (But need consultant from EST time zone ... AI/ML, don't have to be expert with this but it is required to have some decent experience as this ...

AceStack LLC

Python Developer

Edison, NJ · On-site

$51 - $70.25/hr

Strong background of ML/DL/LLM algorithms, model architectures, and training techniques. * Proficiency in Python, SQL, Spark, PySpark, TensorFlow or other analytical/model-building programming ...

WOWK-TV

AI/ML Engineer

New York, NY

$90 - $110K/hr

Writing clean, well-tested Python code and contributing to shared libraries and internal tooling ... Infrastructure & DevOps: * Docker experience, comfortable containerizing ML workloads for ...

Tribune Media

AI/ML Engineer

New York, NY

$90 - $110K/hr

Writing clean, well-tested Python code and contributing to shared libraries and internal tooling ... Infrastructure & DevOps: * Docker experience, comfortable containerizing ML workloads for ...

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All JobsPython Ml Developer JobsPython Ml Developer Jobs in Raritan, NJ

Python Ml Developer information

See Raritan, NJ salary details

$13

$60

$88

How much do python ml developer jobs pay per hour?

As of Jun 28, 2026, the average hourly pay for python ml developer in Raritan, NJ is $60.03, according to ZipRecruiter salary data. Most workers in this role earn between $49.47 and $68.17 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 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 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 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 cities near Raritan, NJ are hiring for Python Ml Developer jobs? Cities near Raritan, NJ with the most Python Ml Developer job openings:
Python Ml Developer jobs near you
Infographic showing various Python Ml Developer job openings in Raritan, NJ as of June 2026, with employment types broken down into 87% Full Time, 6% Part Time, and 7% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $124,863 per year, or $60 per hour.

Lead AI/ML Developer

Saransh Inc

New York, NY • On-site

$64.50 - $84.50/hr

Contractor

Posted 3 days ago

Job description

Role: Lead AI/ML Developer

Location: NYC, NY (Hybrid – 3 days a week onsite)

Job Type: Contract

Responsibilities:

  • Design and implement machine learning models and algorithms for classification, regression, clustering, and recommendation systems.
  • Collaborate with data scientists, software engineers, and product teams to integrate AI solutions into production environments.
  • Analyze large datasets to extract meaningful insights and improve model performance.
  • Research and stay up to date with the latest AI trends, tools, and technologies.
  • Optimize models for scalability, performance, and accuracy.

Required Skills:

  • Bachelors or Masters degree in Computer Science, Data Science, or a related field.
  • 2+ years of experience in AI/ML development.
  • Proficiency in Python with experience using libraries such as TensorFlow, PyTorch, Scikit-learn, or Keras.
  • Strong understanding of machine learning algorithms, deep learning, and natural language processing (NLP).
  • Experience with data preprocessing, feature engineering, and model evaluation techniques.
  • Familiarity with cloud platforms like AWS, Azure, or GCP for deploying AI models.
  • Knowledge of MLOps practices and tools (e.g., MLflow, Kubeflow, Docker).

Mandatory Skills:

  • Python
  • AI/ ML,  NLP
  • Tensor, PyTorch
  • AWS, Azure
  • Pandas, Numpy
  • CI/CD