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Flexible Java Machine Learning Jobs (NOW HIRING)

NY · On-site

$110 - $150/hr

Utilizing programming languages such as Python and Java to build and deploy AI models * Integrating data from various sources to enhance data quality and infrastructure * Applying machine learning ...

Ability to write robust code in Python, Java and R * Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn) * Excellent communication skills * Ability ...

Java, R, Haskell) a plus. * Solid knowledge of machine learning tools (eg. scikit-learn, tensorflow, keras, pytorch, Spark MLlib) required. * Experience with distributed and streaming data ...

Java, R, Haskell) a plus. * Solid knowledge of machine learning tools (eg. scikit-learn, tensorflow, keras, pytorch, Spark MLlib) required. * Experience with distributed and streaming data ...

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Flexible Java Machine Learning information

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How much do flexible java machine learning jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for flexible java machine learning in the United States is $56.70, according to ZipRecruiter salary data. Most workers in this role earn between $49.04 and $63.46 per hour, depending on experience, location, and employer.

What is the difference between Flexible Java Machine Learning vs Java Data Scientist?

AspectFlexible Java Machine LearningJava Data Scientist
Required CredentialsBachelor's in CS, Data Science, or related; Java programming skills; Machine Learning certificationsBachelor's or higher in Data Science, Statistics, or related; Java programming skills; Data analysis certifications
Work EnvironmentSoftware development teams, AI/ML projects, tech companiesData analysis teams, research labs, analytics departments
Employer & Industry UsageTech firms, startups, AI-focused companiesFinancial, healthcare, e-commerce, and research organizations

Flexible Java Machine Learning specialists focus on developing machine learning models using Java, often integrating into software applications. Java Data Scientists analyze data and build models, sometimes using Java but often with other tools. Both roles require programming skills and work in tech-driven industries, but their primary focus differs: development versus analysis.

What cities are hiring for Flexible Java Machine Learning jobs?

Cities with the most Flexible Java Machine Learning job openings:

What are the most commonly searched types of Java Machine Learning jobs?

The most popular types of Java Machine Learning jobs are:

What states have the most Flexible Java Machine Learning jobs?

States with the most job openings for Flexible Java Machine Learning jobs include:

Senior Associate - Agentic AI and Machine Learning Developer

Jobtailor

NY • On-site

$110 - $150/hr

Other

Posted 7 days ago


Job description


  • Designing and implementing AI and machine learning solutions to transform raw data into actionable insights

  • Developing scalable software and platform systems using advanced algorithms and data engineering techniques

  • Collaborating with clients to understand their needs and deliver tailored data solutions

  • Utilizing programming languages such as Python and Java to build and deploy AI models

  • Integrating data from various sources to enhance data quality and infrastructure

  • Applying machine learning libraries like TensorFlow and Scikit-Learn to optimize model performance

  • Conducting complex data analysis to support informed decision-making and business growth

  • Building and maintaining data pipelines to streamline data processing and analysis

  • Leveraging natural language processing tools to develop innovative text analytics solutions

  • Mentoring junior team members and guiding them in technical and professional development


Requirements

  • At least a Bachelor's degree

  • At least 2 years of experience

  • Preference for at least one of the following fields of study: Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, Engineering

  • At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials

  • Demonstrating proficiency in AI implementation and machine learning libraries

  • Utilizing Python and Java for complex data analysis and modeling

  • Excelling in data integration and data pipeline development

  • Applying natural language processing techniques for text analytics

  • Leveraging TensorFlow and Scikit-Learn for deep learning projects


Core Competencies

Proficient in designing and implementing AI and machine learning solutions, with expertise in Python and Java for data analysis and modeling. Skilled in developing data pipelines, integrating data sources, and applying machine learning libraries like TensorFlow and Scikit-Learn for optimized performance.


Highest-signal resume keywords

  • AI Implementation

  • Machine Learning Libraries

  • Data Pipeline Development

  • Natural Language Processing

  • Data Integration


ATS Optimization Keywords
Hard Skills

  • Python

  • Java

  • Machine Learning

  • Data Analysis

  • Data Engineering

  • TensorFlow

  • Scikit-Learn

  • Natural Language Processing

  • Data Pipeline Development

  • Advanced Algorithms


Soft Skills

  • Collaboration

  • Mentoring

  • Communication


Certifications & Qualifications

  • Data Engineering Certifications

  • Machine Learning Certifications

  • Cloud Platform Certifications


Industry Keywords

  • Analytics

  • Data Science

  • Artificial Intelligence

  • Robotics

  • Computer Science

  • Information Systems

  • Engineering


Tools & Technologies

  • AWS

  • Google Cloud

  • Microsoft Azure

  • Databricks

  • Snowflake

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