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

Sr. AI Developer w/ Reactjs

Warren, NJ · On-site

$56.50 - $74.75/hr

Sr. AI Developer w/ Reactjs Location: Warren, NJ (Onsite) Position type: W2 contract. Job Overview ... Strong proficiency in Python, with experience in AI/ML libraries such as TensorFlow, PyTorch, or ...

AI Architect - R01566870

Edison, NJ · On-site

$80 - $85/hr

Senior AI/ML Engineer Job requirements * AI Architect * Location: Plainsboro, NJ * work Type ... Python. (preferably SQL) Hands-on experience in data analysis, feature engineering, model ...

Senior AI/ML Engineer Job requirements * AI Architect * Location: Plainsboro, NJ * work Type ... Python. (preferably SQL) Hands-on experience in data analysis, feature engineering, model ...

Agentic AI Engineer

Edison, NJ · On-site

$116K - $139K/yr

... Python code for data preprocessing, model training, and deployment. • Work with large datasets ... AI/ML solutions into applications and workflows. • Conduct experiments, evaluate model ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Senior AI Engineer

Piscataway, NJ · On-site

$106K - $146K/yr

Strong experience with Python programming and ML frameworks (PyTorch, TensorFlow ). * Hands-on experience with LLMs, embeddings, vector databases, RAG, and prompt engineering. * Familiarity with ...

Agentic AI FDE| USA | FTE Only

Berkeley Heights, NJ · On-site

$57.75 - $74.25/hr

Engineering Expertise * 10+ years in software engineering, infrastructure engineering, or applied ML engineering. * Strong proficiency in Python , TypeScript/JavaScript , or other backend languages.

Agentic AI FDE | USA | FTE Only

Berkeley Heights, NJ · On-site

$57.75 - $74.25/hr

Engineering Expertise * 10+ years in software engineering, infrastructure engineering, or applied ML engineering. * Strong proficiency in Python , TypeScript/JavaScript , or other backend languages.

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Python Ml Developer information

See Mendham, NJ salary details

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How much do python ml developer jobs pay per hour?

As of Jul 23, 2026, the average hourly pay for python ml developer in Mendham, NJ is $58.11, according to ZipRecruiter salary data. Most workers in this role earn between $47.88 and $66.01 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.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI and machine learning systems. While AI automation tools can handle certain tasks, MLEs are essential for creating, optimizing, and interpreting complex models, making complete replacement unlikely in the near term. MLEs need skills in programming, data analysis, and model deployment to adapt to evolving AI technologies.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in deep learning, data science, and programming with tools like Python and TensorFlow. Such roles usually involve leadership, strategic planning, and extensive experience in the field.

Which 3 jobs will survive AI?

For a Python ML Developer, roles that require complex problem-solving, creativity, and human judgment are likely to persist, such as AI research scientist, data scientist, and software engineer. These jobs involve designing, interpreting, and improving AI models, which currently require advanced expertise, critical thinking, and domain knowledge that AI cannot fully replicate. Continuous learning and staying updated with new tools and techniques are essential for long-term career resilience.

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.

Can you do ML in Python?

Yes, Python is widely used for machine learning (ML) development due to its extensive libraries such as TensorFlow, scikit-learn, and PyTorch. Python skills are essential for a Python ML developer to build, train, and deploy ML models efficiently in various environments.
What cities near Mendham, NJ are hiring for Python Ml Developer jobs? Cities near Mendham, NJ with the most Python Ml Developer job openings:
Infographic showing various Python Ml Developer job openings in Mendham, NJ as of July 2026, with employment types broken down into 81% Full Time, 6% Part Time, 1% Temporary, and 12% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $120,861 per year, or $58.1 per hour.

Mainframe Developer AI/GenAI Exp

Envision Technology Solutions

Berkeley Heights, NJ • On-site

$51.25 - $65.75/hr

Other

Posted 13 days ago


Job description

Job Title: Mainframe Developer AI/GenAI Exp

Location: Berkeley Heights, NJ-Onsite

Job Type: Long term Contract

Roles and Responsibilities

  • Design, develop, maintain, and support IBM Mainframe applications using COBOL, JCL, CICS, DB2, VSAM, and related technologies.

  • Analyze existing mainframe applications and identify modernization opportunities using AI/GenAI solutions.

  • Develop AI-powered tools and automation solutions for code analysis, documentation generation, testing, and application modernization.

  • Integrate mainframe systems with cloud platforms, APIs, and AI/ML services.

  • Collaborate with business stakeholders, architects, and development teams to define technical solutions and modernization strategies.

  • Perform impact analysis, code reviews, debugging, and performance tuning of mainframe applications.

  • Develop and maintain technical documentation, process flows, and system specifications.

  • Support application migration, refactoring, and transformation initiatives.

  • Implement security, compliance, and governance standards across mainframe and AI solutions.

  • Participate in Agile development processes, sprint planning, and technical design discussions.

  • Evaluate emerging AI/GenAI technologies and recommend innovative use cases for mainframe environments.

Required Skills:-

  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.

  • 10+ years of hands-on experience in IBM Mainframe development.

  • Strong experience with COBOL, JCL, CICS, DB2, VSAM, IMS, and TSO/ISPF.

  • Experience with software development lifecycle (SDLC) and Agile methodologies.

  • Knowledge of REST APIs, microservices, and system integration concepts.

  • Understanding of AI/ML fundamentals and Generative AI technologies.

  • Experience working with Large Language Models (LLMs) and AI-assisted development tools.

  • Strong analytical, problem-solving, and communication skills.

Preferred Skills:-

  • Experience with IBM Watsonx, OpenAI, Azure OpenAI, or similar AI platforms.

  • Exposure to mainframe modernization programs and cloud migration initiatives.

  • Experience with Python, Java, or other modern programming languages.

  • Familiarity with DevOps, CI/CD pipelines, Git, Jenkins, and automation tools.

  • Knowledge of prompt engineering, retrieval-augmented generation (RAG), and AI governance.

  • Experience integrating AI solutions with enterprise applications and legacy systems.