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Temporary Remote Python Machine Learning Jobs in New Jersey

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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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Temporary Remote Python Machine Learning information

What is the difference between Temporary Remote Python Machine Learning vs Data Scientist?

AspectTemporary Remote Python Machine LearningData Scientist
Required CredentialsBachelor's in CS, Python, ML certificationsBachelor's/Master's in CS, Statistics, Data Analysis
Work EnvironmentRemote, project-based, tech companiesRemote or on-site, diverse industries
Industry UsageTech, AI startups, research labsFinance, healthcare, tech, consulting
Common Search IntentTemporary remote Python ML rolesData analysis, modeling, insights

Temporary Remote Python Machine Learning roles focus on developing ML models using Python in short-term, remote projects. Data Scientists have broader responsibilities in data analysis, statistical modeling, and insights across various industries. While both roles require Python and related skills, Data Scientists often have a wider scope of work and industry applications.

What are popular job titles related to Temporary Remote Python Machine Learning jobs in New Jersey? For Temporary Remote Python Machine Learning jobs in New Jersey, the most frequently searched job titles are:
What job categories do people searching Temporary Remote Python Machine Learning jobs in New Jersey look for? The top searched job categories for Temporary Remote Python Machine Learning jobs in New Jersey are:
What cities in New Jersey are hiring for Temporary Remote Python Machine Learning jobs? Cities in New Jersey with the most Temporary Remote Python Machine Learning job openings:

Remote Machine Learning Engineer

Angenex

Jersey City, NJ โ€ข Remote

Other

Posted 16 days ago


Job description

Remote Machine Learning Engineer

Jersey City, NJ, United States

About the Job

We're seeking an outstanding ML Engineer to join our data team and help build out best-in-class machine learning solutions on our platform, powering innovative solutions in marketing & sales and commercial analytics.

Responsibilities

- Build and deploy the ML pipelines that power the company machine learning platform.

- Manage MLOps infrastructure to monitor and optimize models.

Qualifications

Experience:

1+ years of professional experience as a Machine Learning Engineer or production-focused Data Scientist.

Proficiency across topics in machine learning and statistics.

Fluency in Python coding as well as data manipulation (SQL, Spark, Pandas)

Broad familiarity with the Python ecosystem and common libraries including Scikit-Learn, XGBoost, PyTorch, Keras, Tensorflow, Pandas, and common ML cloud services.

Familiarity with CNNs, RNN, LSTMs, and the latest research trends.

Experience implementing, deploying, and maintaining production machine learning systems.

Experience monitoring and optimizing model performance.

Experience with Linux, Docker and AWS, and basic development operations.

Advanced degree in computer science, mathematics, statistics or related area of study strongly preferred.