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Python Mechanical Engineer Jobs in Davenport, IA

1 point system

Azure AI Architect with M365

Moline, IL · On-site

$57.25 - $74.75/hr

Implement prompt engineering, fine-tuning , and retrieval mechanisms for improved AI performance ... Strong proficiency in Python , C# , or R , with expertise in Azure AI services * Hands-on ...

All JobsPython Mechanical Engineer JobsPython Mechanical Engineer Jobs in Davenport, IA

Python Mechanical Engineer information

See Davenport, IA salary details

$21.8K

$132.8K

$192.1K

How much do python mechanical engineer jobs pay per year?

As of Aug 28, 2026, the average yearly pay for python mechanical engineer in Davenport, IA is $132,783.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,800.00 and $156,100.00 per year, depending on experience, location, and employer.

What does a Python mechanical engineer do?

A Python Mechanical Engineer is a professional who combines mechanical engineering expertise with proficiency in the Python programming language. They often use Python to automate simulations, analyze engineering data, create custom computational tools, and develop scripts for design optimization. Their work can involve tasks such as automating CAD processes, running finite element analysis, or integrating hardware and software systems. This combination of skills is increasingly valuable in industries that emphasize digital engineering and automation.

How does a Python mechanical engineer typically collaborate with cross-functional teams during product development?

Python Mechanical Engineers often work closely with electrical engineers, software developers, and product managers throughout the product development cycle. Their role involves integrating Python-based automation and simulation tools with mechanical design processes, which requires clear communication and coordination to ensure compatibility and efficiency. Regular meetings, collaborative project management platforms, and shared documentation are commonly used to align goals and resolve technical challenges. This cross-disciplinary teamwork not only enhances product quality but also provides valuable opportunities for professional growth and learning.

What are the key skills and qualifications needed to thrive as a Python mechanical engineer, and why are they important?

To thrive as a Python Mechanical Engineer, you need a solid foundation in mechanical engineering principles, strong programming skills in Python, and typically a bachelor’s degree in mechanical engineering or a related field. Familiarity with simulation and modeling tools like ANSYS or SolidWorks, as well as experience with Python libraries such as NumPy and pandas, is highly beneficial. Problem-solving abilities, effective communication, and adaptability set candidates apart in this role. These skills are essential for efficiently designing, analyzing, and automating engineering processes, leading to innovative and optimized mechanical solutions.

What is the difference between Python Mechanical Engineer vs Mechanical Design Engineer?

AspectPython Mechanical EngineerMechanical Design Engineer
Required SkillsPython programming, mechanical engineering fundamentalsMechanical design, CAD software, engineering principles
Work EnvironmentSoftware development teams, engineering labsDesign offices, manufacturing facilities
CertificationsOptional Python or software certifications, engineering licensesProfessional Engineer (PE), CAD certifications
Industry UsageAutomation, robotics, simulationProduct design, machinery, structural components

The main difference between a Python Mechanical Engineer and a Mechanical Design Engineer lies in their focus areas. Python Mechanical Engineers combine programming skills with mechanical engineering knowledge to develop automation and simulation tools, while Mechanical Design Engineers focus on creating physical product designs using CAD software. Both roles are essential in engineering projects but serve different functions within the industry.

Are Python Mechanical Engineers in demand?

Python Mechanical Engineers are in demand as companies seek professionals who can integrate Python programming with mechanical systems, automation, and data analysis. Skills in Python, CAD software, and control systems increase employability in industries like manufacturing, robotics, and engineering design.

What are popular job titles related to Python Mechanical Engineer jobs in Davenport, IA?

For Python Mechanical Engineer jobs in Davenport, IA, the most frequently searched job titles are:

What job categories do people searching Python Mechanical Engineer jobs in Davenport, IA look for?

The top searched job categories for Python Mechanical Engineer jobs in Davenport, IA are:

What cities near Davenport, IA are hiring for Python Mechanical Engineer jobs?

Cities near Davenport, IA with the most Python Mechanical Engineer job openings:

Python Mechanical Engineer jobs near you
Infographic showing various Python Mechanical Engineer job openings in Davenport, IA as of June 2026, with employment types broken down into 10% Internship, 76% Full Time, 9% Part Time, and 5% Contract. Highlights an 95% In-person, and 5% Hybrid job distribution, with an average salary of $132,783 per year, or $63.8 per hour.

Azure AI Architect with M365

Moline, IL • On-site

1 point system
IT Services • 51 - 200 employees
Learn more about 1 point systemexternal

$57.25 - $74.75/hr

Contractor

Re-posted 17 days ago

Job description

Azure AI Architect with M365

Moline, IL Onsite

Rate: Open (DOE)

No H1B, CPT, OPT

Position Overview

We are seeking an experienced Azure AI Architect to lead the design, implementation, and optimization of AI solutions within Microsoft Azure's ecosystem. This senior role requires deep expertise in AI/ML architectures, Azure cloud services, M365 Architectures including Copilot and Enterprise AI strategy, with a strong ability to drive innovation and scalability.

Key Responsibilities

AI Strategy & Architecture

  • Define and execute enterprise-wide AI strategies leveraging Azure AI, Azure OpenAI Service, Azure copilot studio, Azure AI Foundry, Azure AI Services, Azure Machine Learning, and Azure Cognitive Services
  • Architect scalable and secure AI solutions using Azure Functions, Kubernetes Service (AKS), and Databricks
  • Develop AI governance frameworks, ensuring compliance with responsible AI principles and security best practices

AI Development & Model Optimization

  • Lead the development of generative AI applications, including LLMs, RAG models, AI Agents and custom AI pipelines
  • Implement prompt engineering, fine-tuning, and retrieval mechanisms for improved AI performance
  • Design vector-based search architectures using Azure Cognitive Search and vector databases

Cloud & DevOps Excellence

  • Drive MLOps best practices, automating AI model lifecycle with Azure DevOps and GitHub Actions
  • Optimize cloud AI workloads, balancing performance, cost, and security
  • Ensure scalability and resilience of AI applications using Azure infrastructure as code (Terraform, Bicep, ARM)

Cross-Team Leadership & Innovation

  • Collaborate with data scientists, engineers, and stakeholders to design AI-driven solutions
  • Evaluate emerging AI technologies, integrating innovations like LangChain, Semantic Kernel, and multi-agent AI frameworks
  • Lead AI architectural reviews, providing mentorship and best practices guidance to teams

Required Qualifications

Technical Expertise

  • 12+ years of experience in AI/ML architecture and Azure cloud environments
  • Strong proficiency in Python, C#, or R, with expertise in Azure AI services
  • Hands-on experience with M365 Copilot, M365 Copilot Studio, Azure OpenAI, Azure Bot Framework, and Cognitive Services
  • Deep understanding of LLMs, RAG models, and vector database implementations

AI & Cloud Certifications

  • Azure certifications preferred (AI-102, AZ-305, DP-100, AZ-305)
  • Experience with Terraform, Bicep, and ARM templates for cloud automation
  • Familiarity with MLOps frameworks for scalable AI deployment

Leadership & Business Impact

  • Proven ability to translate business needs into AI solutions
  • Strong problem-solving, strategic thinking, and innovation mindset
  • Excellent communication skills, capable of influencing senior stakeholders

Preferred Qualifications

  • Master’s degree in Computer Science, AI, or a related field
  • Experience with multi-cloud AI strategies, predominantly on Azure
  • Expertise in AI security, privacy, and compliance frameworks
  • Prior experience in enterprise AI solutions with large-scale deployments