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DataFactZ

AI Engineer - Senior (GCP)

Career Insights for Natural Language Processing Engineer

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What they do

A Natural Language Processing Engineer specializes in developing and implementing algorithms and models tailored for understanding, processing, and generating natural language text. They utilize methodologies such as tokenization, parsing, named entity recognition, part-of-speech tagging, and other NLP techniques to perform tasks including text classification, chatbot development, and other applications where the primary input or output is natural language text.

$121,879 / year median in Michigan

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Job Description

AI Engineer
  • Senior (GCP) DataFactZ
  • 4.7 Northville Tw, MI Job Details Contract $70
  • $85 an hour 3 hours ago Qualifications AI models Data Integration (Data management) AI platforms (beyond public GPTs) Tableau Data Architecture Design (Architecture design skills) Machine learning cloud services Machine intelligence Cloud database architecture Product development Model deployment Developing large-scale AI models Machine learning (ML) fundamentals AI-driven automation BigQuery Project stakeholder communication Python Stakeholder relationship building Stakeholder management
Full Job Description Job Role:
AI Engineer Location:
Northville, MI Hire-Type:
Contract Position Summary:
This role will work directly with business partners, analysts, and technology teams to design, develop, and implement solutions that improve reporting, operational efficiency, and AI adoption across Finance and Accounting.

The ideal candidate will have experience developing AI-powered solutions while also building scalable data products, data pipelines, and cloud-based analytics capabilities. The role will support strategic initiatives, including Project Orion
  • Foundational Data Product, focused on enabling enterprise-ready finance data products and semantic-layer capabilities that support AI agents and models.
Key Responsibilities Design and develop AI-enabled solutions that drive business value across Finance and Accounting. Build and maintain scalable data pipelines, data integrations, and cloud-based data products to support analytics and AI use cases. Develop Python-based solutions for data processing, automation, analytics, and AI applications. Leverage Google Cloud Platform (GCP), BigQuery, Vertex AI, and Gemini capabilities to develop and deploy business-focused AI solutions. Support the development of agentic workflows and AI-powered automation opportunities. Translate business challenges into scalable technical solutions using modern data and AI technologies. Design, build, and optimize datasets that support reporting, analytics, machine learning, and AI initiatives. Collaborate across Analytics, Automation, AI, and IT teams to deliver solutions that can be successfully adopted and scaled. Monitor, maintain, and enhance existing analytics and AI solutions to improve performance, reliability, and business impact. Required Qualifications Experience in AI engineering, data engineering, analytics engineering, data science, or software engineering. Strong Python development skills. Hands-on experience with Google Cloud Platform (GCP). Experience working with BigQuery and cloud-based data architectures. Experience developing and deploying AI or machine learning solutions. Experience with Large Language Models (LLMs), Gemini, Vertex AI, or similar AI platforms. Experience building and supporting enterprise data products and data pipelines. Strong analytical and problem-solving skills. Excellent communication and stakeholder management skills. Ability to work independently and collaborate effectively with business partners and technical teams. Preferred Qualifications Experience developing agentic workflows or AI-powered automation solutions. Experience supporting Finance, Accounting, Reporting, Audit, or Corporate Analytics organizations. Experience working with semantic models, business data products, or AI-ready data architectures. Tableau experience preferred but not required. Experience delivering proof of concepts and scalable production solutions. Consulting or enterprise contractor experience.
  • Thank You, Sathish M, Sr Technical Recruiter Sathish.
mailagani@datafactz. DataFactZ, Inc., (248) 602-3153
Direct Pay:
$70.00
  • $85.
00 per hour Expected hours: 8.0 per week
Work Location:
In person