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Java Ai Developer Jobs in High Falls, NY (NOW HIRING)

RBW

Software Engineer

Kingston, NY · On-site

... Stack Developer with a strong proficiency in one or more server-side programming languages (Java ... Experience or strong interest in building and deploying agentic AI to automate workflows, optimize ...

All JobsJava Ai Developer JobsJava Ai Developer Jobs in High Falls, NY

Java Ai Developer information

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$14

$53

$73

How much do java ai developer jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for java ai developer in High Falls, NY is $53.81, according to ZipRecruiter salary data. Most workers in this role earn between $46.54 and $60.24 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Java AI Developer, and why are they important?

To thrive as a Java AI Developer, you need strong proficiency in Java programming, machine learning concepts, and a degree in computer science or a related field. Familiarity with AI frameworks (such as TensorFlow or Deeplearning4j), version control systems like Git, and experience with cloud platforms are typically required. Creative problem-solving, strong analytical thinking, and effective communication skills help developers collaborate and innovate in complex AI projects. These skills ensure the delivery of efficient, scalable AI solutions and foster productive teamwork in fast-evolving tech environments.

What are some common challenges faced by Java AI Developers when integrating machine learning models into existing enterprise systems?

One of the main challenges Java AI Developers encounter is ensuring seamless integration of machine learning models—often built with Python-based frameworks—into Java-based enterprise environments. This can involve using APIs, microservices, or platforms like TensorFlow Java and Deeplearning4j to bridge compatibility gaps. Additionally, developers must optimize model performance for scalability and real-time inference, which requires thorough testing and tuning. Effective collaboration with data scientists and DevOps teams is crucial to address deployment issues and maintain model accuracy in production.

What is a Java AI Developer?

A Java AI Developer is a software professional who designs, develops, and implements artificial intelligence solutions using the Java programming language. They build machine learning models, integrate AI features into applications, and work with frameworks and libraries suited for AI development in Java. Their role often involves data processing, algorithm development, and deploying scalable AI-powered applications. Java AI Developers may work in various industries such as finance, healthcare, or technology to create intelligent systems that help solve complex business problems.
What cities near High Falls, NY are hiring for Java Ai Developer jobs? Cities near High Falls, NY with the most Java Ai Developer job openings:
Java Ai Developer jobs near you
Infographic showing various Java Ai Developer job openings in High Falls, NY as of July 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution, with an average salary of $111,923 per year, or $53.8 per hour.
Manufacturing Defect Engineer

Manufacturing Defect Engineer

onsemi

Hopewell Junction, NY

$65K - $102K/yr

Full-time

Posted 4 days ago

Onsemi rating

8.3

Company rating: 8.3 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

Job description

onsemi is seeking a Defect Engineer at our Hopewell Junction East Fishkill Site, NY.  As a Defect Engineer in this position, develop and deploy inline inspection strategies to reduce MTTD (mean time to detect) and drive defect improvement to meet industry competitive yield standards.  Defect engineers provide analysis and subject-matter expertise to identify signals, excursions, and opportunities for continuous improvement.   The position's primary focus is to develop and improve the defect yield management system.  This includes maintaining and improving data mining capabilities and analysis techniques, especially through the implementation of a new AI agent.  They work with technical experts in integration and process engineering to solve complex technical problems that contribute to yield loss, and map business processes to innovate and create new applications for future needs.

onsemi (Nasdaq: ON) is driving disruptive innovations to help build a better future. With a focus on automotive and industrial end-markets, the company is accelerating change in megatrends such as vehicle electrification and safety, sustainable energy grids, industrial automation, and 5G and cloud infrastructure. With a highly differentiated and innovative product portfolio, onsemi creates intelligent power and sensing technologies that solve the world's most complex challenges and leads the way in creating a safer, cleaner, and smarter world.

More details about our company benefits can be found here:

https://www.onsemi.com/careers/career-benefits

We are committed to sourcing, attracting, and hiring high-performance innovators, while providing all candidates a positive recruitment experience that builds our brand as a great place to work.


onsemi is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, ancestry, national origin, age, marital status, pregnancy, sex, sexual orientation, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, or any other protected category under applicable federal, state, or local laws.

If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Talent.acquisition@onsemi.com for assistance.

Required Qualifications:

  • Education -  BS Degree in Engineering, Data Science, or Statistics
  • Strong, effective communication and Leadership/Teamwork skills are required.
  • Language Fluency - Fluent in English Language - written & verbal
  • Familiar with Java, Python, R, or other modern programming languages
  • Familiar with SQL
  • Experience building, validating, and deploying analytical AI models and/or agents

Preferred Qualifications:

  • MS Degree in Engineering, Data Science, or Statistics
  • Experience with Power BI or other business intelligence platforms
  • Semiconductor processing experience or coursework
  • Familiar with 5S, 8D, 6-sigma, SPC, DOE, FMEM 

Salary: onsemi is excited to share the base salary range for this position is $65,800 to $102,100 exclusive of fringe benefits or potential bonuses. The final pay rate for the successful candidate will depend on geographic location, skills, education, experience, and/or consideration of the internal equity of our current team members. We also offer a competitive benefits package. https://www.onsemi.com/site/pdf/Benefits-Summary-USA.pdf

  • Generate defect Pareto charts, identify the root causes of top defects, and work with module teams to drive continuous improvement to meet industry-competitive D0 targets.
  • Work with defect application engineers to improve DOI (defect of interest) detection.
  • Create and execute DOE (design of experiments), analyze data, and communicate results with recommendations to broader technical teams. 
  • Develop and deploy defect monitoring and improvement strategies and applications
  • Demonstrate abilities to interpret code to sustain and improve its usage
  • Understand statistical concepts, such as multivariate and univariate analysis
  • Document business processes and application specifications to sustain business impact
  • Demonstrate project management skills, such as defining milestones and estimating timelines to complete activities.
  • Independently create, train, and maintain image classification models
  • Work with a cross-functional team to develop, implement, and sustain AI models and agents to streamline workflow and provide insights into defect and yield drivers

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