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Java Machine Learning Jobs in Ohio (NOW HIRING)

Aivra Health LLC

$28 - $45/hr

Java (basic knowledge) * SQL Machine Learning & AI Frameworks * Scikit-learn * TensorFlow * Keras * PyTorch * XGBoost * LightGBM Data Processing & Big Data * Pandas * NumPy * Apache Spark * PySpark

Aivra Health LLC

$28 - $45/hr

Java (basic knowledge) * SQL Machine Learning & AI Frameworks * Scikit-learn * TensorFlow * Keras * PyTorch * XGBoost * LightGBM Data Processing & Big Data * Pandas * NumPy * Apache Spark * PySpark

Mimecast

Machine Learning Engineer II

Columbus, OH

$94.20K - $128.90K/yr

Machine Learning II Engineer - Incydr Product Development Mimecast is at the forefront of the ... Demonstrate advanced programming proficiency in Python, C++, Java, or Kotlin, and possess hands-on ...

Mimecast

Machine Learning Engineer II

Columbus, OH · On-site

$94.20K - $128.90K/yr

Machine Learning II Engineer - Incydr Product Development Mimecast is at the forefront of the ... Demonstrate advanced programming proficiency in Python, C++, Java, or Kotlin, and possess hands-on ...

Tata Consultancy Services

AI Engineer

Cincinnati, OH

$109.90K - $132K/yr

Proficiency in programming languages such as Python, R, or Java, and experience with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn. * Excellent analytical and problem-solving ...

Tata Consultancy Services

AI Engineer

Edison, OH

$90.60K - $108.80K/yr

Proficiency in programming languages such as Python, R, or Java, and experience with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn. * Excellent analytical and problem-solving ...

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How much do java machine learning jobs pay per hour?

As of May 30, 2026, the average hourly pay for java machine learning in Ohio is $53.90, according to ZipRecruiter salary data. Most workers in this role earn between $46.63 and $60.34 per hour, depending on experience, location, and employer.

What is a Java Machine Learning job?

A Java Machine Learning job involves developing and deploying machine learning models using Java-based frameworks and libraries. Professionals in this role work on data preprocessing, model training, optimization, and integration into applications. They often use tools like Weka, Deeplearning4j, or Apache Spark MLlib. Strong knowledge of Java, machine learning algorithms, and data structures is essential.

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

To thrive as a Java Machine Learning professional, you need strong Java programming skills, a solid understanding of machine learning algorithms, and a degree in computer science or a related field. Experience with frameworks such as Weka, Deeplearning4j, or Apache Spark MLlib, along with familiarity with data processing tools and industry-standard certifications, is often required. Problem-solving ability, teamwork, and effective communication are valuable soft skills for success in this role. These skills and qualities are critical for developing robust machine learning solutions, efficiently collaborating with technical teams, and addressing complex business challenges.

What are some common challenges faced by Java Machine Learning professionals on the job?

Java Machine Learning professionals often encounter challenges such as integrating machine learning models into existing Java-based production systems, optimizing algorithms for scalability and efficiency, and ensuring data quality for model training. They may also need to stay current with evolving machine learning libraries and approaches, requiring continuous learning and flexibility. Collaborating with data engineers, software developers, and business stakeholders is common, so strong interpersonal and project management abilities are crucial. Overcoming these challenges is key to successfully deploying high-performing, reliable machine learning solutions that meet organizational needs.
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Java Machine Learning jobs near you
Infographic showing various Java Machine Learning job openings in Ohio as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $112,117 per year, or $53.9 per hour.

Machine Learning Engineer Intern

Aivra Health LLC

$28 - $45/hr

Other

Posted 11 days ago

Job description

Machine Learning Engineer Intern

United States
Internship | Full-Time (40 hours/week)
Pay Range: $28 – $45 per hour 
Visa: H1B Sponsorship Available | STEM OPT, OPT & CPT Candidates Welcome

Position Overview

We are seeking a highly motivated Machine Learning Engineer Intern to join our AI/ML team. This role is ideal for students or entry level candidates in STEM fields who are passionate about building scalable machine learning models and deploying them into production environments.

The intern will work closely with Data Scientists and Software Engineers to develop, train, evaluate, and deploy machine learning models that solve real-world business problems.

Key Responsibilities

  • Assist in building and training machine learning and deep learning models

  • Perform data preprocessing, feature engineering, and exploratory data analysis (EDA)

  • Implement supervised and unsupervised learning algorithms

  • Optimize model performance using hyperparameter tuning

  • Deploy ML models using REST APIs or cloud services

  • Work on model monitoring, validation, and performance tracking

  • Collaborate with cross-functional teams in Agile/Scrum environment

  • Document experiments and maintain reproducible ML workflows

Required Qualifications

  • Currently pursuing or recently completed a Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, or related STEM field

  • Strong understanding of Machine Learning fundamentals

  • Knowledge of Probability, Statistics, and Linear Algebra

  • Basic understanding of Data Structures and Algorithms

Technical Skills (ATS Keywords)Programming Languages

  • Python

  • R (preferred)

  • Java (basic knowledge)

  • SQL

Machine Learning & AI Frameworks

  • Scikit-learn

  • TensorFlow

  • Keras

  • PyTorch

  • XGBoost

  • LightGBM

Data Processing & Big Data

  • Pandas

  • NumPy

  • Apache Spark

  • PySpark

  • Hadoop

NLP & Advanced Techniques (Preferred)

  • Natural Language Processing (NLP)

  • Computer Vision

  • Deep Learning

  • Transformers

  • LLM fundamentals

Cloud & MLOps

  • AWS (SageMaker, S3, EC2)

  • Microsoft Azure ML

  • Google Cloud AI Platform

  • Docker

  • Kubernetes

  • MLflow

  • CI/CD pipelines

  • Model Deployment & Monitoring

Tools & Concepts

  • Git

  • REST APIs

  • Feature Engineering

  • Model Evaluation Metrics

  • A/B Testing

  • Agile/Scrum

Preferred Qualifications

  • Prior ML internship or academic research experience

  • Experience deploying models into production

  • Knowledge of MLOps practices

  • Strong problem-solving and analytical skills

  • Good communication and teamwork abilities

Compensation & Benefits

  • Competitive hourly compensation ($28 – $45/hr)

  • Hands-on real-world AI/ML project experience

  • Mentorship from senior ML engineers

  • Opportunity for full-time conversion

  • H1B sponsorship support for eligible candidates

  • STEM OPT extension support

Equal Opportunity Employer

We are an Equal Opportunity Employer and encourage applications from diverse backgrounds, including international students and professionals requiring H1B sponsorship or STEM OPT support.

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