Software Architect
Dubuque, IA · On-site +1
We aim to help organizations create positive learning experiences to increase efficiencies and ... A defining part of this role is AI: you will help us leverage it in the developer loop to sharpen ...
Software Architect
Dubuque, IA · On-site +1
We aim to help organizations create positive learning experiences to increase efficiencies and ... A defining part of this role is AI: you will help us leverage it in the developer loop to sharpen ...
Software Architect
Dubuque, IA · On-site
$130 - $180/hr
We aim to help organizations create positive learning experiences to increase efficiencies and ... A defining part of this role is AI: you will help us leverage it in the developer loop to sharpen ...
Software Architect
Dubuque, IA · On-site
$130 - $180/hr
We aim to help organizations create positive learning experiences to increase efficiencies and ... A defining part of this role is AI: you will help us leverage it in the developer loop to sharpen ...
Patterned Learning Ai information
See Dubuque, IA salary details
$28.10 is the 25th percentile. Wages below this are outliers.
$25.39 - $29.04
34% of jobs
The median wage is $32.36 / hr.
$29.04 - $32.68
18% of jobs
$32.68 - $36.33
12% of jobs
$36.33 - $39.98
3% of jobs
$39.98 - $43.63
5% of jobs
$43.63 - $47.27
2% of jobs
$47.58 is the 75th percentile. Wages above this are outliers.
$47.27 - $50.92
16% of jobs
$50.92 - $54.57
9% of jobs
$54.57 - $58.22
0% of jobs
$58.22 - $61.86
0% of jobs
$61.86 - $65.51
1% of jobs
$25
$38
$65
How much do patterned learning ai jobs pay per hour?
As of Sep 7, 2026, the average hourly pay for patterned learning ai in Dubuque, IA is $38.38, according to ZipRecruiter salary data. Most workers in this role earn between $27.88 and $49.86 per hour, depending on experience, location, and employer.
What is patterned learning AI?
Patterned Learning AI refers to artificial intelligence systems designed to recognize, learn from, and replicate patterns in data. These systems use algorithms to identify trends, correlations, and structures within large datasets, enabling them to make predictions or automate decision-making processes. Patterned Learning AI is commonly used in fields like image recognition, natural language processing, and predictive analytics. Its applications help businesses and researchers uncover hidden insights, streamline operations, and improve accuracy in various tasks.
What are some typical challenges faced by patterned learning AI professionals in implementing AI-driven solutions within organizations?
Patterned Learning AI professionals often encounter challenges such as integrating AI models with existing legacy systems, ensuring high-quality and representative training data, and aligning AI solutions with specific business objectives. Collaboration across multidisciplinary teams—including data scientists, software engineers, and business stakeholders—is essential for successful deployment. Additionally, professionals must stay updated on evolving AI technologies and best practices to maintain model accuracy and address ethical considerations.
What are the key skills and qualifications needed to thrive as a machine learning engineer, and why are they important?
To thrive as a Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (especially Python), and a degree in computer science or a related field. Experience with machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn, as well as familiarity with cloud computing platforms and data management tools, is essential. Excellent problem-solving skills, creativity, and clear communication are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies are vital for developing reliable AI systems that solve real-world problems and drive innovation.
What is the difference between Patterned Learning Ai vs Data Scientist?
| Aspect | Patterned Learning Ai | Data Scientist |
|---|---|---|
| Required Credentials | Typically requires machine learning, AI, or computer science degrees; certifications in AI tools | Requires degrees in statistics, computer science, or related fields; often certifications in data analysis |
| Work Environment | Tech companies, AI startups, research labs focusing on AI development | Business, finance, healthcare, and tech sectors analyzing data for insights |
| Employer & Industry Usage | Used by AI-focused organizations developing intelligent systems | Employed across industries for data analysis, predictive modeling, and decision support |
Patterned Learning Ai primarily focuses on developing AI models and algorithms, often requiring specialized technical skills. Data Scientists analyze data to extract insights and inform business decisions. While both roles involve data and machine learning, Patterned Learning Ai is more centered on creating AI systems, whereas Data Scientists interpret data for strategic purposes.
Full-time
Re-posted 9 days ago
Key responsibilities
Partner with the Solutions Architect to own the system architecture end to end, from proof of concept through design to production.
Design and build software hands-on in C# and Angular, setting the technical standards the rest of the team builds against.
Own the Azure environment: deploy application workloads into production, manage high-level Azure infrastructure, and maintain infrastructure as code.
Job description
At Eagle Point Software, we empower leaders in architecture, engineering, construction, product design, and manufacturing to transform their businesses by implementing learning and development best practices. We aim to help organizations create positive learning experiences to increase efficiencies and support employee growth.
We help clients unlock their teams' potential with the knowledge to do their jobs better.
We prioritize the success of our clients and go above and beyond to ensure they have the power to create a differentiating factor that sets them apart. That power is an upskilled, knowledgeable workforce.
JOB DESCRIPTION
The Application Architect is the technical anchor of our engineering team, responsible for our Azure environment and for the architecture that everything else depends on. This is a rare hands-on-plus-big-picture role: one day you are architecting and writing C# and Angular yourself, the next you are setting the standards the whole team builds against. A defining part of this role is AI: you will help us leverage it in the developer loop to sharpen how our team works and integrate it into our products to expand what they can do. We are looking for someone with deep Azure best practices, real architectural instinct, and the ability to design and build software you are proud of. The right person has the judgment to know when to zoom in on a single line of code and when to zoom out to the whole platform, and the perspective to see how each decision fits the larger system.
Responsibilities
Requirements
Experience & Education
Azure & Infrastructure
Security
Development
Physical Requirements
We help clients unlock their teams' potential with the knowledge to do their jobs better.
We prioritize the success of our clients and go above and beyond to ensure they have the power to create a differentiating factor that sets them apart. That power is an upskilled, knowledgeable workforce.
JOB DESCRIPTION
The Application Architect is the technical anchor of our engineering team, responsible for our Azure environment and for the architecture that everything else depends on. This is a rare hands-on-plus-big-picture role: one day you are architecting and writing C# and Angular yourself, the next you are setting the standards the whole team builds against. A defining part of this role is AI: you will help us leverage it in the developer loop to sharpen how our team works and integrate it into our products to expand what they can do. We are looking for someone with deep Azure best practices, real architectural instinct, and the ability to design and build software you are proud of. The right person has the judgment to know when to zoom in on a single line of code and when to zoom out to the whole platform, and the perspective to see how each decision fits the larger system.
Responsibilities
- Partner with the Solutions Architect to own the system architecture end to end, from proof of concept through design to production.
- Translate business goals and product requirements into scalable, reliable architecture, and communicate technical direction clearly to both engineers and non-technical stakeholders.
- Design and build software hands-on in C# and Angular, setting the technical standards the rest of the team builds against.
- Maintain clear architecture documentation, including design decisions, system diagrams, and technical specifications, so the team can build and extend with confidence.
- Own the Azure environment: deploy application workloads into production, manage high-level Azure infrastructure, and maintain infrastructure as code.
- Engineer and maintain fully automated CI/CD pipelines that build and deploy our web-based applications.
- Champion security best practices and support SOC 2 compliance across our Azure environment.
- Drive developer enablement by introducing and scaling AI-assisted development tooling, and help integrate AI into our products.
- Own the quality bar through code and design reviews, ensuring work conforms to our architectural standards.
- Benchmark and tune application performance to meet scalability, reliability, and SLA targets.
- Coach and mentor engineers, growing the team's capability in our development practices and standards.
- Stay abreast of emerging technologies and industry trends, and champion adoption of the ones that make sense for our organization.
Requirements
Experience & Education
- Associate or bachelor's degree in computer science or a related field, or equivalent experience.
- 8-10+ years designing and implementing software applications, including large-scale projects, with time spent in an architecture or technical lead capacity.
- Proven track record balancing hands-on development with architecture and technical leadership.
- Strong understanding of software architecture and application design patterns.
- Outstanding collaboration and communication skills, including the ability to convey technical concepts to non-technical stakeholders.
- Experience working in collaborative teams distributed across multiple time zones.
- Comfortable working in a hybrid / remote working environment.
Azure & Infrastructure
- Deep hands-on experience with Microsoft Azure, including deploying application workloads into production.
- Strong grasp of Azure best practices and the Azure Well-Architected Framework (scalability, reliability, security, cost).
- Experience with high-level Azure infrastructure and infrastructure as code (IaC).
- Experience building and maintaining automated CI/CD pipelines in Azure.
Security
- Experience with cybersecurity frameworks, specifically SOC 2 in an Azure environment.
- Professional experience designing secure software systems and analyzing code for weaknesses and errors.
Development
- Strong hands-on experience architecting and building software in C#, Angular, and SQL.
- Experience leading application modernization and integration initiatives.
- Experience with AI-assisted developer tooling (for example, Claude Code) and a track record of enabling teams to adopt it.
Physical Requirements
- Constant operation of a computer
- Must be able to remain in a stationary position at least 75% of time (sitting and/or standing)
- Average hearing and visual acuity
- Must be able to communicate with others
About Eagle Point Software
Sourced by ZipRecruiter
Industry
Software development
Company size
51 - 200 Employees
Headquarters location
Dubuque, IA, US
Year founded
1983