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Java Machine Learning Jobs in Ohio (NOW HIRING)

... Java, C++) · Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) · Solid understanding of algorithms, data structures, and software engineering principles · ...

... Java, C++) • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) • Solid understanding of algorithms, data structures, and software engineering principles • ...

... Java, C++) • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) • Solid understanding of algorithms, data structures, and software engineering principles • ...

AI Engineer

Cincinnati, OH · On-site

$109K - $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 ...

AI Engineer

Edison, OH · On-site

$90K - $108K/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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Java Machine Learning information

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.

What are popular job titles related to Java Machine Learning jobs in Ohio? For Java Machine Learning jobs in Ohio, the most frequently searched job titles are:
Infographic showing various Java Machine Learning job openings in Ohio as of July 2026, with employment types broken down into 1% Internship, 85% Full Time, 8% Part Time, and 6% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution.
AI Engineer

AI Engineer

Flexjet

Cleveland, OH

Full-time

Posted 8 days ago


Flexjet rating

8.2

Company rating: 8.2 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

9th of 54 rated aviation services


Job description

POSITION SUMMARY

Flexjet is seeking a skilled and innovative AI Engineer to design, develop, and deploy machine learning and artificial intelligence solutions. You will work closely with data scientists, software engineers, and product teams to build scalable AI systems that drive business value and enhance user experiences.

DUTIES & RESPONSIBILITIES

· Design and develop machine learning and deep learning models for real-world applications

· Build, test, and deploy AI/ML pipelines in production environments

· Collaborate with cross-functional teams to translate business needs into AI solutions

· Optimize model performance, scalability, and reliability

· Work with large datasets: preprocessing, feature engineering, and data validation

· Implement APIs and integrate AI models into existing systems

· Monitor model performance and retrain as needed

· Stay up to date with the latest advancements in AI and machine learning

REQUIRED SKILLS & QUALIFICATIONS

· Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field

· Strong programming skills in Python (and/or Java, C++)

· Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn)

· Solid understanding of algorithms, data structures, and software engineering principles

· Experience with data processing tools (e.g., Pandas, NumPy, SQL)

· Familiarity with cloud platforms (AWS, Azure, or Google Cloud)

· Knowledge of RESTful APIs and microservices architecture

PREFERRED QUALIFICATIONS

· Experience with NLP, computer vision, or generative AI

· Familiarity with MLOps tools (e.g., Docker, Kubernetes, CI/CD pipelines)

· Experience deploying models at scale in production environments

· Knowledge of big data technologies (e.g., Spark, Hadoop)

· Understanding of AI ethics and responsible AI practices

· Problem-solving and analytical thinking

· Strong communication and collaboration skills

· Ability to work in a fast-paced, agile environment

· Attention to detail and commitment to quality


What Flexjet employees say

Pay

Benefits

Hours and flexibility

Workplace

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