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Remote Building Automation Jobs in Eden Prairie, MN

AI/ML Engineer

Minneapolis, MN · Remote

$106K - $131K/yr

Minneapolis, MN(Remote) 1. Design, develop, test, document, and deploy Salesforce solutions based ... Building and deploying models for real-time decision-making and automation. 4. Integration Skills:

Remote (Preferred locations Minneapolis, MN or Milwaukee, WI) Employment Type: Full-Time Are you ... Work hands-on with Generative AI, automation platforms, intelligent workflows, and emerging ...

Remote (Preferred locations Minneapolis, MN or Milwaukee, WI)Employment Type: Full-Time Are you ... Work hands-on with Generative AI, automation platforms, intelligent workflows, and emerging ...

Data Engineer

Minneapolis, MN · Remote

$117K - $140K/yr

Minneapolis, MN(Remote) AI Dojo Databricks SRE/Support Engineer As Databricks SRE and Support ... Automation & DevOps: Improve existing Infrastructure as Code (IaC) according to best DevOps ...

Showing results 21-40

Remote Building Automation information

What is a remote building automation?

A Remote Building Automation job involves monitoring, managing, and optimizing building systems—such as HVAC, lighting, and security—using cloud-based or networked automation technologies. Professionals in this role work remotely to troubleshoot issues, adjust system settings, and ensure energy efficiency and operational reliability. They often use building management software to analyze data, predict maintenance needs, and improve system performance. This role is essential for reducing costs, enhancing sustainability, and maintaining occupant comfort without requiring on-site presence.

What are some common challenges faced by remote building automation professionals and how are they addressed?

One common challenge in Remote Building Automation is accurately diagnosing system issues without being physically present at the site. Professionals in this role develop strong analytical skills and use advanced remote monitoring software to interpret data and guide on-site staff through troubleshooting processes. Effective communication is crucial for coordinating maintenance and upgrades with building personnel. By leveraging digital tools and maintaining strong relationships with local facilities teams, remote specialists ensure building systems operate efficiently and problems are resolved in a timely manner.

What are the key skills and qualifications needed to thrive in the remote building automation position, and why are they important?

To thrive as a Remote Building Automation professional, you need expertise in HVAC, electrical, and mechanical control systems, typically supported by a background in engineering or building technologies. Familiarity with Building Management Systems (BMS), remote monitoring platforms, and relevant certifications such as Niagara AX or Siemens Desigo is essential. Strong analytical thinking, troubleshooting ability, and clear communication are vital soft skills for collaborating with on-site teams and clients. These capabilities ensure efficient system performance, quick issue resolution, and effective coordination in a remote work setting.

What are popular job titles related to Remote Building Automation jobs in Eden Prairie, MN?

For Remote Building Automation jobs in Eden Prairie, MN, the most frequently searched job titles are:

What job categories do people searching Remote Building Automation jobs in Eden Prairie, MN look for?

The top searched job categories for Remote Building Automation jobs in Eden Prairie, MN are:

What cities near Eden Prairie, MN are hiring for Remote Building Automation jobs?

Cities near Eden Prairie, MN with the most Remote Building Automation job openings:

Infographic showing various Remote Building Automation job openings in Eden Prairie, MN as of June 2026, with employment types broken down into 1% As Needed, 47% Full Time, 47% Part Time, 1% Temporary, and 4% Contract. Highlights an 42% Physical, 2% Hybrid, and 56% Remote job distribution.

AI/ML Engineer

Noblesoft Technologies

Minneapolis, MN • Remote

$106K - $131K/yr

Contractor

Re-posted 2 days ago


Job description

Job Title: AI/ML Engineer
Location: Minneapolis, MN(Remote)
Job Description:    

1.    Design, develop, test, document, and deploy Salesforce solutions based on business needs.
2.    Develop and deploy AI/ML models for real-time decision-making and automation.
3.    Integrate AI/ML solutions into Salesforce CRM to enable intelligent data retrieval, personalized recommendations, workflow automation, forecasting, scoring, and opportunity insights.
4.    Enhance Salesforce applications with advanced AI features using both native (Einstein/Einstein GPT) and external technologies (Python-based models or Azure/AWS ML services).
5.    Build and optimize Retrieval-Augmented Generation (RAG) pipelines using vector databases and Large Language Models (LLMs) for improved contextual understanding within Salesforce workflows.
6.    Extend platform functionality using Apex (Triggers/Classes), LWC, Aura Framework, Visualforce Pages, Apex APIs and web services.
MUST HAVE SKILLS    
1.    Bachelor's degree in Computer Science, Information Systems, Statistics, or a comparable discipline is required, with prior experience in data analysis or a related field being advantageous
2.    5-7 years of experience in Power BI development and implementation
3.    AI/ML Expertise: Building and deploying models for real-time decision-making and automation.
4.    Integration Skills: AI/ML integration with Salesforce CRM (Einstein/Einstein GPT and external technologies like Python-based models or Azure/AWS ML services).
5.    Generative AI Knowledge: Familiarity with transformers, LLMs, and Retrieval-Augmented Generation (RAG) pipelines using vector databases.
6.    Automation Development: Creating AI-powered automation solutions, including Einstein Bots and custom bots for sales/service workflows.
7.    CI/CD Proficiency: Managing deployment processes using Git.
8.    Cloud Platforms: Experience with Azure/AWS ML services and enterprise-grade integrations.
9.    Security & Compliance: Ensuring data privacy, scalability, and reliability of AI models in production.
10.    Collaboration: Ability to work with product managers, engineers, and data teams for AI-driven enhancements.
11.    Continuous Improvement: Monitoring model accuracy and implementing feedback loops for better user experience