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Artificial Intelligence Analytics

  • RHINELANDER, WI, United States

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English
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Original job description

JOB REQUIREMENTS: Job Title: Artificial Intelligence (AI) & Analytics Solutions Engineer Department: Information Technology Location: Kingsford, MI or Iron River, MI or Rhinelander, WI, Open to Remote/Hybrid Summary The Information Technology team aims to deliver meaningful capability, technical support, and innovative solutions to the organization and support the enterprise in achieving business strategic goals and objectives. As part of the Information Technology team, the AI & Analytics Solutions Engineer, designs, builds, and deploys intelligent systems that enhance operational efficiency, automate decision-making, and unlock new capabilities across the organization. This role blends software engineering, machine learning, and analytics to develop production-ready AI and analytics solutions. In our environment, this may include solutions related to corporate finance, predictive maintenance, defect detection, and process optimization. Responsibilities Provide day-to-day functional support for deployed AI and analytics solutions Maintain knowledge of emerging AI technologies and solutions compatible with a government tenant Monitor and troubleshoot tickets related to AI and analytics solutions Collaborate with the business to define, design and deploy use cases leveraging AI and analytics solutions Build and maintain AI governance frameworks Work with third-party vendors as applicable to support on-going projects Qualifications Strong programming skills in Python and SQL Experience with machine learning model development, including supervised, unsupervised, and deep learning techniques Familiarity with cloud platforms (e.g. Azure) and GPU-accelerated computing Experience integrating AI models with enterprise systems, APIs, or edge devices Experience with M365 Copilot deployment and Copilot Studio Experience using Microsoft\'s PowerPlatform (Power Automate, PowerBI, etc.) Hands-on experience with MLOps tools such as MLflow, Kubeflow, Airflow, Docker, Kubernetes, CI/CD pipelines Strong understanding of data structures, algorithms, and software engineering best practices Strong problem-solving mindset and curiosity Ability to translate ambiguous business needs into technical solutions Comfortable working in fast-paced, iterative environments Clear communication with both technical and non-technical stakeholders Understanding of AI governance, model monitoring, and responsible AI practices Education and/or Experience Bachelor\'s degree in Computer Science, Engineering, Data Science, Mathematics, or a related technical field 3 5+ years of experience building and deploying machine learning or AI systems Eligible to work within a government tenant (GCCH) and with FEDRAMP compliant solutions Certifications in MS... For full info follow application link. Equal Opportunity Employer of Protected Veterans and Individuals with Disabilities/Affirmative Action Employer. We comply with Department of Labor Wage and Hour Division. ***** APPLICATION INSTRUCTIONS: Apply Online: ipc.us/t/CBF3DAA8BC0B4DD3

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