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Contract Generative Ai Engineer Jobs in Arizona (NOW HIRING)

AI Engineer II

Phoenix, AZ · On-site

$88K - $121K/yr

Build and support generative AI and agentic solutions using modern AI engineering practices and frameworks. * Develop and maintain data pipelines, integrations, and reusable data products that enable ...

New

AI Engineer II

Phoenix, AZ

$88K - $121K/yr

Build and support generative AI and agentic solutions using modern AI engineering practices and frameworks. * Develop and maintain data pipelines, integrations, and reusable data products that enable ...

New

Design, build, test, and deploy Generative AI applications and intelligent agents on Google Cloud ... other developers * Participate in client discovery, architecture, testing, deployment, and ...

Principal AI Engineer

Tucson, AZ · On-site

$179 - $226/hr

Assess and implement emerging technologies, including generative AI, foundation models, LLMs, AI ... Mentor engineers, scientists, and technical teams in AI technologies, architecture, and responsible ...

Principal AI Engineer

Tucson, AZ · On-site

$179 - $226/hr

Assess and implement emerging technologies, including generative AI, foundation models, LLMs, AI ... Mentor engineers, scientists, and technical teams in AI technologies, architecture, and responsible ...

Assess and implement emerging technologies, including generative AI, foundation models, LLMs, AI ... Mentor engineers, scientists, and technical teams in AI technologies, architecture, and responsible ...

Principal AI Engineer

Tucson, AZ · On-site

$179K - $226K/yr

Assess and implement emerging technologies, including generative AI, foundation models, LLMs, AI ... Mentor engineers, scientists, and technical teams in AI technologies, architecture, and responsible ...

Principal AI Engineer

Tucson, AZ · On-site

$179K - $226K/yr

Assess and implement emerging technologies, including generative AI, foundation models, LLMs, AI ... Mentor engineers, scientists, and technical teams in AI technologies, architecture, and responsible ...

AI Engineer

Phoenix, AZ · On-site

$110K - $125K/yr

AI Engineer Overview: As an AI Business Engineer, your role will be that of a business embedded ... Generative AI. • Drive discovery sprints and AI ideation efforts • Stay abreast of broad AI ...

Job details Job Role Specialist Programmer Career Role Specialist Programmer Work Location Phoenix ... Design, develop, and deploy generative AI models for various applications, such as text generation ...

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Senior AI Engineer / Data Scientist

Koantek

Chandler, AZ • Remote

Contractor

Re-posted 7 days ago


Job description

Senior AI Engineer / Data Scientist (Consulting) Location: United States (Remote) Employment Type: Full-Time / Contract Experience Level: Senior About the Role: We are seeking an experienced, highly technical Senior AI Engineer / Data Scientist to join our customer-facing consulting team. This remote role requires a unique blend of advanced Machine Learning (ML) expertise, deep knowledge of MLOps principles, and a proven track record in client-facing implementation. You will design, deploy, and maintain production-grade ML solutions, including advanced Generative AI and NLP models, for our diverse client base.

Key Responsibilities: * Technical Consulting: Lead end-to-end ML implementations directly with clients, translating business problems into robust technical solutions. * MLOps and Pipelines: Design, build, and maintain production-grade ML pipelines with a strong focus on CI/CD, automation, and scalability. * GenAI and NLP Deployment: Implement and optimize cutting-edge Generative AI applications (such as LLMs and RAG) in live production settings.

* Infrastructure and Data Scale: Manage underlying infrastructure using Docker, pipeline orchestrators, and distributed computing frameworks like Apache Spark. * Stakeholder Management: Clearly communicate technical findings, proposals, and project status to both technical and non-technical audiences. Required Qualifications: * 4+ years of professional experience developing, deploying, and maintaining ML models in a live production environment (Mandatory).

* 3+ years of experience in a customer-facing consulting or Solutions Architect role. * Strong expertise in the MLOps lifecycle (model versioning, testing, monitoring, and automated deployment). * Solid hands-on experience with containerization (Docker) and data pipeline orchestration.

* Proven track record of deploying Generative AI and NLP solutions for client applications. * Excellent verbal and written communication skills. Preferred Qualifications: * Hands-on experience with modern ML platform stacks, specifically Databricks MLOps Stacks.

* Deep knowledge of large-scale data processing and distributed machine learning techniques. * A strong commitment to continuous learning in emerging ML fields and GenAI application architectures.