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

Python Developer

Jersey City, NJ · On-site

$52.50 - $72.25/hr

Python Developer Location: Jersey City, NJ / Dallas, TX / Tampa, FL / Boston, MA Duration: 12 ... Contribute to AI/ML initiatives by building data processing components and integrating machine ...

GenAI Developer / Python

Manhattan, NY · On-site

$55.50 - $76.25/hr

Role: GenAI Developer / Python Location: New York (Onsite) Role Summary: We are seeking a ... ML/DL: PyTorch, TensorFlow, and Model Fine-tuning. Deployment: Docker, Production API management ...

Enable AI/ML use cases on Snowflake, including: o Feature engineering datasets for ML models o Snowpark (Python)-based data processing o Integration with external ML platforms (Databricks / SageMaker ...

... production. - Strong Python skills and experience with ML frameworks (TensorFlow/PyTorch ... DevOps practices applied to ML workloads (MLOps)." "- Experience with feature stores, model ...

AI/ML Engineer Location: New York, NY * Bachelor's degree or Master's Degree in Computer science ... Proficient in Python Pandas NumPy ScikitLearn PySpark * Minimum of 2 years of experience in a data ...

New

Python Developer

Jersey City, NJ · On-site

$110 - $150/hr

* Design, develop, test, and maintain scalable Python applications and services. * Build and support ... Support AI/ML initiatives by developing data processing components and integrating machine learning ...

Work with AI Engineers to move successful solutions into production. Required Skills * Python, ML/statistics * LLMs, RAG, agents * LangChain/LangGraph * AI/LLM evaluation and LLM-as-a-Judge

Python Developer

Jersey City, NJ · On-site

$110 - $150/hr

... AI/ML initiatives by developing data processing components and integrating machine learning ... DevOps practices to improve software quality and deployment efficiency. o Create and maintain ...

Python Developer

Jersey City, NJ · On-site

$52.50 - $72.25/hr

o Design, develop, test, and maintain scalable Python applications and services. o Build and ... AI/ML initiatives by developing data processing components and integrating machine learning ...

Python Developer

Jersey City, NJ

$52.50 - $72.25/hr

o Design, develop, test, and maintain scalable Python applications and services. o Build and ... AI/ML initiatives by developing data processing components and integrating machine learning ...

Enable AI/ML use cases on Snowflake, including: o Feature engineering datasets for ML models o Snowpark (Python)-based data processing o Integration with external ML platforms (Databricks / SageMaker ...

Title - AI/ML Engineer ( Must Have skills - Python, Gen AI, ML Modeling, SQL, Pytorch) Location - New York, NY ( Hybrid 3 days onsite) F2F Final Round * Analyze large and complex datasets to derive ...

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 ...

Title - AI/ML Engineer ( Must Have skills - Python, Gen AI, ML Modeling, SQL, Pytorch) Location - New York, NY ( Hybrid 3 days onsite) F2F Final Round * Analyze large and complex datasets to derive ...

Showing results 21-40

Python Ml Developer information

See Harrison, NJ salary details

$13

$61

$90

How much do python ml developer jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for python ml developer in Harrison, NJ is $61.40, according to ZipRecruiter salary data. Most workers in this role earn between $50.62 and $69.76 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 Harrison, NJ look for?

The top searched job categories for Python Ml Developer jobs in Harrison, NJ are:

What cities near Harrison, NJ are hiring for Python Ml Developer jobs?

Cities near Harrison, NJ with the most Python Ml Developer job openings:

Infographic showing various Python Ml Developer job openings in Harrison, NJ as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, 4% Part Time, and 8% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $127,710 per year, or $61.4 per hour.

Python Developer

Conch Technologies Inc

Jersey City, NJ • On-site

$52.50 - $72.25/hr

Contractor

Posted 12 days ago


Job description

Job Title: Python Developer

Location: Jersey City, NJ / Dallas, TX / Tampa, FL / Boston, MA
Duration: 12+Months
Work Arrangement: Hybrid (3 Days Onsite per Week)

 Job Summary

We are seeking experienced Python Developers to join a fast-paced technology team responsible for building scalable applications, APIs, automation solutions, and data-driven platforms. The ideal candidate will have strong hands-on Python development experience, expertise in API integration, database technologies, and a solid understanding of software engineering best practices.

 Key Responsibilities
  • Design, develop, test, and maintain scalable Python applications and services.
  • Build, enhance, and support RESTful APIs and integrations with internal and external systems.
  • Collaborate with product owners, business analysts, architects, and development teams to deliver high-quality solutions.
  • Develop and support data pipelines, automation frameworks, and integration solutions.
  • Contribute to AI/ML initiatives by building data processing components and integrating machine learning services.
  • Troubleshoot application issues, perform root cause analysis, and implement long-term solutions.
  • Participate in code reviews and ensure adherence to coding standards, security practices, and development guidelines.
  • Support CI/CD pipelines, automated testing, and DevOps processes.
  • Create and maintain technical documentation, design specifications, and operational procedures.
  • Monitor application performance and implement reliability and performance improvements.
  • Actively participate in Agile ceremonies including sprint planning, stand-ups, retrospectives, and backlog grooming.
 Required Qualifications
  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
  • 4–6 years of hands-on software development experience using Python.
  • Strong knowledge of Python frameworks, libraries, and development best practices.
  • Experience designing, developing, and consuming RESTful APIs.
  • Experience integrating with third-party applications and services.
  • Strong experience with relational and/or NoSQL databases.
  • Solid understanding of object-oriented programming, software design patterns, and scalable application architecture.
  • Experience using Git and modern source control practices.
  • Strong troubleshooting, debugging, and analytical skills.
  • Experience working in Agile/Scrum environments.
  • Excellent verbal and written communication skills.
  • Ability to work effectively in a collaborative team environment.
 Preferred Qualifications
  • Experience building data pipelines and automation frameworks.
  • Exposure to cloud platforms and modern DevOps practices.
  • Experience supporting AI/ML initiatives or integrating machine learning services into applications.
  • Familiarity with CI/CD tools and automated testing frameworks.