Which cities near Peoria, AZ have the most java programmer job openings?

The cities near Peoria, AZ that boast the highest number of java programmer jobs are: Gilbert Chandler Mesa Tucson Phoenix Goodyear

Which cities near Peoria, AZ have the most job openings?

The 10 cities near Peoria, AZ that have the most job openings are: Surprise Tempe Scottsdale Glendale Gilbert North Las Vegas Chandler Henderson Mesa Tucson

What are the most popular job searches in Peoria, AZ?

The 10 most popular job searches in Peoria, AZ are: work from home government amazon warehouse data entry clerk data entry online warehouse customer care customer service

What are the highest-paying jobs in Peoria, AZ?

The highest-paying jobs are: federal ( from $ 20,475 to $ 225,000 year ) technical program manager ( from $ 215,600 to $ 221,400 year ) front end engineer ( from $ 113,994 to $ 211,350 year ) business intelligence analyst ( from $ 72,800 to $ 200,000 year ) sales engineer ( from $ 73,500 to $ 200,000 year ) solutions engineer ( from $ 90,000 to $ 200,000 year ) public works director ( from $ 113,796 to $ 198,834 year ) engineering director ( from $ 161,929 to $ 191,911 year ) hardware engineer ( from $ 93,600 to $ 191,220 year ) chief engineer ( from $ 34,743 to $ 184,116 year )

Which cities in the United States of America offer the highest salaries for java programmer jobs?

The top 10 cities are: New York, NY ( from $ 99,403 to $ 161,850 year ) Chicago, IL ( from $ 71,250 to $ 150,000 year ) Los Angeles, CA ( from $ 87,500 to $ 138,320 year ) Philadelphia, PA ( from $ 57,000 to $ 109,625 year ) Phoenix, AZ ( from $ 87,500 to $ 108,015 year ) Houston, TX ( from $ 85,000 to $ 102,500 year )

Java programmer Jobs in Peoria, AZ

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Java programmer • peoria az

Last updated: 8 hours ago

AI/ML Engineer (Palantir Backfill)

ProsumGlendale, AZ, US

$60.00 hourly

Full-time

Quick Apply

Pay Range: $60/hour to $75/hour .We are seeking a skilled and motivated AI/ML Engineer to join a growing Data & AI Platform Engineering team.In this role, you will contribute to the design... Show more

Remote Software Engineer

Micro1Sun City West, Arizona, US

$20.00 hourly

Remote

Full-time

AI data lab for training frontier models and evaluating AI agents.Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more.AI... Show more

Registered Behavior Technician in Home 9-2:30 M-TH, Friday 9-2

Java Autism ServicesSurprise, AZ

$24.00 hourly

Full-time +1

Opportunity for Registered Behavior Technician (RBT)!.Registered Behavior Technician (RBT) to join our team! We are a passionate ABA company dedicated to transforming lives through evidence-based p... Show more

(Future Opportunities) Remote Healthcare Provider Network Contractor

EWINGSGlendale, AZ, United States

Full-time

Future Opportunities Healthcare Provider Network Contractor.EWINGS is seeking to build our talent network with Network Contractor professionals that have a minimum of 5+ years of experience develop... Show more

Controls Engineer Senior (PLC)

Bosch Building Technologies North AmericaPhoenix, Arizona, United States, 85053-4053

Full-time

Quick Apply

Headquartered in Germany, Robert Bosch GmbH is a premier global supplier with four primary business sectors: Automotive Technology, Industrial Technology, Consumer Goods, and Energy and Building Te... Show more

CNC Programmer

TriMas CorporationTolleson, AZ, US

Full-time +1

Company: Martinic Engineering Inc.Primary Location: 8505 West McDowell Road, Tolleson, AZ 85353 USA.Employment Type: Hourly | Full-Time.Function: Manufacturing Production / Distribution.Equal Oppor... Show more

Remote Software Developer $60 - $120/hourpay

Micro1El Mirage, Arizona, US

$60.00 hourly

Remote

Full-time

AI/ML Engineer (Palantir Backfill)

ProsumGlendale, AZ, US

5 days ago

Salary

$60.00 hourly

Job type

Full-time

Quick Apply

Job description

AI/ML Engineer
Pay Range: $60/hour to $75/hour

Job Summary
We are seeking a skilled and motivated AI/ML Engineer to join a growing Data & AI Platform Engineering team. In this role, you will contribute to the design, implementation, and support of AI and machine learning capabilities operating within an enterprise data and AI ecosystem.

The ideal candidate will collaborate with engineers, data scientists, and cross-functional stakeholders to deliver production-ready AI/ML solutions that are scalable, secure, and aligned with established engineering standards. This position requires strong software engineering fundamentals, experience working with unstructured data and metadata, and familiarity with semantic modeling techniques that enhance data discoverability and usability.

This role also offers the opportunity to work with emerging AI technologies, including Large Language Models (LLMs) and foundation model platforms, within a governed enterprise environment.

Key Responsibilities

AI/ML Solution Development

Design, develop, and support AI and machine learning components in partnership with senior engineers and architects.
Build secure, reliable, and maintainable AI/ML solutions using established engineering best practices.
Apply existing frameworks and standards to ensure consistency, scalability, and operational readiness.
Evaluate trade-offs involving performance, scalability, cost, and user experience when implementing solutions.

Unstructured Data & Semantic Technologies

Develop pipelines to ingest, process, and enrich unstructured and semi-structured data, including documents and text.
Work with metadata, embeddings, and semantic representations to improve search, retrieval, and downstream AI use cases.
Apply semantic modeling techniques to enhance data discoverability and usability across applications and end users.

Software Engineering Excellence

Write high-quality, production-grade code following modern development standards.
Participate in automated testing, code reviews, and CI/CD processes supporting AI/ML systems.
Translate technical designs into functional solutions and consistently deliver against commitments.

Collaboration & Problem Solving

Implement solutions for moderately complex technical challenges while considering business requirements and constraints.
Partner with data scientists, platform engineers, and business stakeholders to deliver effective AI/ML capabilities.
Contribute to technical documentation, design discussions, and agile development activities.

MLOps & Operational Support

Support MLOps/FMOps practices, including model deployment, versioning, monitoring, and troubleshooting.
Identify opportunities to improve reliability, observability, and maintainability of AI/ML systems.
Enhance existing pipelines, tools, and platform components through continuous improvement efforts.

Large Language Models & Foundation Models

Apply LLMs and prompt engineering techniques to address business use cases within established governance frameworks.
Contribute to solutions leveraging managed foundation model platforms.
Evaluate and assist in integrating emerging AI capabilities into enterprise platforms.

Governance & Compliance

Develop AI/ML solutions that align with organizational governance standards, including documentation, testing, and lineage requirements.
Collaborate with governance and compliance teams to ensure adherence to enterprise expectations.
Follow established practices related to model validation, versioning, and transparency.

Qualifications

Education

Bachelor's degree in Computer Science, Data Science, Engineering, or a related field required.
Advanced degree preferred.

Experience

3+ years of experience in AI/ML engineering or applied machine learning.
Demonstrated experience delivering AI/ML solutions in production environments.
Hands-on experience working with unstructured data, embeddings, and semantic technologies.
Exposure to MLOps/FMOps practices and governed AI environments.
Experience with LLMs and prompt engineering is preferred.

Technical Skills

Strong programming skills in Python; experience with Java or similar languages is a plus.
Experience with AI/ML frameworks such as TensorFlow, PyTorch, and/or Scikit-learn.
Experience deploying AI/ML workloads within cloud environments, preferably AWS.
Familiarity with managed foundation model platforms (e.g., AWS Bedrock) is preferred.
Experience with data processing technologies such as Spark, SQL, and/or NoSQL databases.