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Last updated: 1 day 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

Sr. OT Systems Engineer

Ross RecruitingGlendale, AZ, USA
Full-time

A beverage manufacturer is seeking a Senior OT Systems Engineer to support MES, manufacturing systems integration, and digital transformation initiatives within a highly automated production enviro... Show more

Full-Time Assistant Manager

Hot TopicGlendale, AZ, United States
Full-time

At Hot Topic, we're passionate about a few things: music, pop culture, and creating the most amazing in-store experience for our customers and employees.We're on the search for a Full-Time Assistan... Show more

Design Consultant 1, 2, Senior - Design Distribution

SRPTolleson, AZ, US
Full-time

Join us in building a better future for Arizona!.SRP is one of the largest public power and water utilities in the U.Since its founding in 1903, SRP has fostered a culture of stewardship and custom... Show more

Web Developer

Triumph Tech, LLCSurprise, Arizona, United States
$65,000.00 yearly
Full-time

Salary: $65,000 - 95,000 per year.We want a strong front-end developer with extensive experience in HTML5, Bootstrap, CSS, Less, and jQuery.We value a passion for writing high-quality JavaScript.We... Show more

 • Promoted

Restoration Business Developer

GpacSurprise, Arizona, United States
Full-time
Quick Apply

A growing, high-end restoration company is seeking a Senior Business Development Representative to drive growth across commercial sectors in a major metro market.This is an opportunity for a highly... Show more

Manufacturing Systems Analyst

Nesco ResourceGlendale, AZ, US
Full-time

Client is seeking an IMS / Manufacturing Systems Analyst to support and enhance manufacturing IT systems in a 24x7 production environment.This role focuses on Integrated Manufacturing Systems, MES-... Show more

Data Analyst - 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

DPDHLTolleson, Arizona, 85353, United States of America
$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

Project Coordinator - hybrid in MI, AZ, or PR [PC-2026-06]

Agate SoftwareGlendale, AZ, United States
Full-time

At Agate Software, we are building a better world by revolutionizing how government agencies and nonprofits manage their grant processes.Our solutions empower our customers to maximize their resour... Show more

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 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

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AI/ML Engineer (Palantir Backfill)

AI/ML Engineer (Palantir Backfill)

ProsumGlendale, AZ, US
27 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.