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

The cities near Peoria, AZ that boast the highest number of python developer jobs are: Tempe North Las Vegas Chandler Henderson Mesa Tucson Las Vegas Phoenix Goodyear Buckeye

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 python developer jobs?

The top 10 cities are: Hollywood, FL ( from $ 100,000 to $ 268,125 year ) Berkeley, CA ( from $ 135,000 to $ 244,125 year ) Yonkers, NY ( from $ 140,000 to $ 240,000 year ) Westminster, CO ( from $ 98,125 to $ 240,000 year ) Rio Rancho, NM ( from $ 130,150 to $ 202,500 year ) Fresno, CA ( from $ 95,000 to $ 200,000 year ) Huntsville, AL ( from $ 132,500 to $ 191,000 year ) Knoxville, TN ( from $ 100,000 to $ 190,375 year ) Madison, WI ( from $ 89,700 to $ 190,000 year ) Boston, MA ( from $ 125,000 to $ 183,060 year )

Python developer Jobs in Peoria, AZ

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Python developer • peoria az

Last updated: 2 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

Senior SAP ABAP Developer (Hybrid work schedule)

Parts Town CanadaLitchfield Park, Arizona

$117,683.06 yearly

Full-time

As the fastest-growing distributor of restaurant equipment, HVAC and residential appliance parts, we like to do things a little differently.First, you need to understand and demonstrate our Core Va... Show more

Pricing Actuary - Insurance - REMOTE

Work At Home Vintage ExpertsSurprise, AZ, US

Remote

Full-time +2

Quick Apply

Put your Insurance Experience to work – FROM HOME!.Our unique platform provides you with.WHAT YOU’LL LOVE ABOUT WAHVE.We created a welcoming place to work with friendly and professional... Show more

Business Analytics Manager

DHLTolleson, AZ, United States

$85,000.00 yearly

Full-time

The Business Analytics Manager requires up to 20% travel on a monthly basis.The Business Analytics Manager can be located in the Greater Phoenix Arizona area or Greater Columbus Ohio area.The Busin... Show more

Test Engineer 2 - AZ

TRANSPORTATION RESEARCH CENTER INC.Surprise, AZ, US

Full-time

Test Engineer shall be responsible for the evaluation of systems and or features, as well as developing and maintaining evaluation methods.Test Engineer shall manage and execute test programs, anal... Show more

Business Analytics Manager

DPDHLTolleson, Arizona, 85353, United States of America

$85,000.00 yearly

Full-time

ServiceNow Senior Developer

Cynet SystemsGlendale, AZ

Full-time

The ServiceNow Senior Developer will design, develop, and implement Human Resource Service Delivery (HRSD) solutions within the ServiceNow platform.This role requires strong hands-on technical expe... Show more

Senior Engineering Manager - Developer Tooling

CVS HealthWork from home, AZ, US

$106,605.00 yearly

Remote

Full-time

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience.At CVS Health®, you’ll be surrounded by passionate colleagues who... Show more

Manager, Property Marketing

MacerichGlendale, AZ, United States

Full-time

Great people make great properties.As an owner, operator and developer of thriving retail centers in the nation's top markets, Macerich offers opportunities to work, grow and develop your unique ta... Show more

Associate Director, Capital

EPCORGlendale, AZ, United States

Full-time

Strategic Senior Accounting Professional.EPCOR is hiring a strategic senior accounting professional to lead capital asset reporting and support our long-term financial planning.In this role, you'll... Show more

Client Manager/Business Developer - Remote US

TEEMALitchfield Park, Arizona

Remote

Permanent

Drive new business development through outbound outreach, networking, referrals, and relationship-building.Develop and manage long-term client relationships across various industries.Identify hirin... Show more

Senior Manager, Supply Chain

Mark Anthony BrewingGlendale, AZ, United States

Full-time

Mark Anthony Group is an entrepreneurial drinks company, built from the ground up by thinking differently, innovating and doing the unexpected.Our company is rooted in family values, a bold vision ... Show more

Network Engineering Lead

BechtelGlendale, AZ, US

Part-time

Telework Type: Part-Time Telework.Extraordinary teams building inspiring projects:.Since 1898, we have helped customers complete more than 25,000 projects in 160 countries on all seven continents t... Show more

AI/ML Engineer (Palantir Backfill)

ProsumGlendale, AZ, US

10 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.