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Python Machine Learning Jobs in New Jersey (NOW HIRING)

Machine Learning Engineer As a Machine Learning Engineer , you will play a critical role in ... Advanced proficiency in Python, Java, and Scala with solid CS fundamentals (algorithms, data ...

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to ...

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Python Machine Learning information

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$13

$59

$87

How much do python machine learning jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for python machine learning in New Jersey is $59.51, according to ZipRecruiter salary data. Most workers in this role earn between $49.04 and $67.60 per hour, depending on experience, location, and employer.

Which 5 jobs will survive AI?

For a Python machine learning professional, roles that require complex problem-solving, creativity, and human judgment are more likely to persist, such as data scientist, AI researcher, software engineer, cybersecurity analyst, and technical project manager. These jobs often involve designing, interpreting, and overseeing AI systems, requiring specialized skills, domain knowledge, and adaptability that AI tools currently cannot fully replicate.

What is a $900,000 AI job?

A $900,000 AI job typically refers to highly senior roles in artificial intelligence, such as AI research directors, chief AI officers, or senior machine learning executives, often requiring advanced expertise, leadership skills, and extensive experience. These positions may involve overseeing large teams, strategic planning, and working with cutting-edge technologies and tools, and they usually offer compensation packages including base salary, bonuses, and stock options. Such high salaries are rare and usually found in large tech companies or organizations with significant AI investments.

What does a typical workday look like for a Python Machine Learning professional?

A typical workday for a Python Machine Learning professional often involves tasks like cleaning and pre-processing data, developing and training machine learning models, and evaluating their performance using statistical metrics. You'll collaborate with data engineers, data scientists, and product managers to understand business requirements and integrate models into production environments. Regularly, you'll participate in code reviews, team meetings, and troubleshooting sessions to optimize model performance and address any issues. This dynamic role requires both independent project work and frequent cross-functional collaboration to ensure that solutions meet real-world needs.

Can I learn AI in 3 months?

For a Python Machine Learning role, learning AI in three months is challenging but possible with intensive study, focusing on core concepts like algorithms, data handling, and relevant tools such as TensorFlow or scikit-learn. Success depends on prior programming experience, dedication, and structured learning plans, but mastering advanced AI topics typically requires longer timeframes.

What is a Python Machine Learning job?

A Python Machine Learning job involves developing, training, and deploying machine learning models using Python. Professionals in this role work with libraries like TensorFlow, scikit-learn, and PyTorch to analyze data, build predictive models, and optimize algorithms. Responsibilities often include data preprocessing, feature engineering, model evaluation, and deploying models to production environments. These roles are commonly found in industries like finance, healthcare, and e-commerce, where data-driven decision-making is crucial.

What are the key skills and qualifications needed to thrive in the Python Machine Learning position, and why are they important?

To thrive as a Python Machine Learning professional, you need a strong background in statistics, programming (especially Python), data analysis, and machine learning algorithms, often supported by a degree in computer science, mathematics, or a related field. Proficiency in libraries and frameworks like scikit-learn, TensorFlow, PyTorch, and familiarity with data visualization and version control tools are highly valued, as are relevant certifications such as TensorFlow Developer or AWS Machine Learning. Strong problem-solving ability, effective communication, and teamwork skills are important for collaboration and translating technical findings to non-technical stakeholders. These competencies enable you to design, develop, and deploy robust machine learning models that drive business solutions and innovation.

Is Python a high paying job?

Python machine learning roles are generally well-paid due to the high demand for data science and AI skills. Salaries depend on experience, location, and expertise with tools like TensorFlow or scikit-learn, but these positions often offer competitive compensation compared to other programming roles.
What are the most commonly searched types of Python Machine Learning jobs in New Jersey? The most popular types of Python Machine Learning jobs in New Jersey are:
Infographic showing various Python Machine Learning job openings in New Jersey as of June 2026, with employment types broken down into 4% As Needed, 79% Full Time, 11% Part Time, 2% Temporary, 2% Contract, and 2% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $123,790 per year, or $59.5 per hour.

ML, Python Developer (Strong Machine Learning)

Futran Tech Solutions Pvt. Ltd.

Iselin, NJ • On-site

$51 - $70.25/hr

Full-time

Posted 3 days ago


Job description

Job Title: ML, Python Developer (Strong Machine Learning)
Location: Iselin, NJ [ (Day one Onsite)
F2F Interview
Job Description:
We are seeking a highly skilled Machine Learning (ML) and Python Developer with strong expertise in machine learning algorithms, deep learning frameworks, and software development. The ideal candidate will have a deep understanding of data science, statistical modeling, and artificial intelligence, with hands-on experience in implementing and deploying ML models in production environments.
Required Skills
Solid understanding of machine learning concepts, algorithms, and deep learning architectures.
Familiarity with cloud-based ML deployment (AWS SageMaker, Azure ML, or Google AI Platform).
Proficiency in SQL and NoSQL databases for data retrieval and manipulation.
Experience with version control (Git) and ML model deployment frameworks such as Flask, FastAPI, or Docker.
Knowledge of MLOps tools and practices for model lifecycle management.
Experience in developing enterprise Python (not simple test projects)
API/Fast API experience
GenAI experience bonus
Someone smart/enthusiastic/willing to go extra mile to get job done.