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Python Developer Jobs in Lansing, MI (NOW HIRING)

... in Python, Java, JavaScript. • 3+ years implementing core Artificial Intelligence (AI) and ... programming in the JBOSS Enterprise SOA environment including JBOSS Workflow. • 3+ years using ...

... Python, JSON and shell script * 2+ years of object oriented programming experience: Java or C# ... Experience with Postgresql databases & administration preferred * Experience with Salesforce ...

We are looking for proficient programmers to help advance AI development. As a member of ... JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, or Swift. Excellent writing and ...

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Python Developer information

See Lansing, MI salary details

$13

$59

$87

How much do python developer jobs pay per hour?

As of May 30, 2026, the average hourly pay for python developer in Lansing, MI is $59.46, according to ZipRecruiter salary data. Most workers in this role earn between $48.99 and $67.55 per hour, depending on experience, location, and employer.

What Does a Python Developer Do?

As a Python developer, your job is to use the Python programming language to develop, implement, and debug a project. In this role, you may create an application for your employer, design the framework for your code, build tools as necessary to get the job done, create websites, or publish new services. Python developers often work with data collection and analytics to create useful answers to questions and provide insight where it's needed most. Like most programming positions, the specifics of this job vary based on the needs of your employer. Some Python developers work as independent contractors instead of being exclusive to one company.

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

To thrive as a Python Developer, you need strong programming skills in Python, a solid understanding of algorithms and data structures, and often a degree in computer science or a related field. Familiarity with frameworks like Django or Flask, version control systems such as Git, and knowledge of databases and cloud services are commonly required. Problem-solving ability, attention to detail, and effective communication help developers collaborate and deliver high-quality code. These skills and qualities are vital to building efficient, scalable software solutions and contributing effectively to development teams.

What are some common challenges Python Developers face when working on large-scale projects?

Python Developers working on large-scale projects often encounter challenges such as managing codebase complexity, ensuring consistent code style among team members, and optimizing application performance. Collaboration with other developers becomes essential, often requiring the use of version control systems and code review processes. Additionally, integrating Python code with other technologies or legacy systems can present unique compatibility and testing hurdles. Proactively adopting best practices like modular architecture and thorough documentation can help mitigate these issues.

What is the difference between Python Developer vs Java Developer?

AspectPython DeveloperJava Developer
Required CredentialsBachelor's in CS or related field, Python certifications (optional)Bachelor's in CS or related field, Java certifications (optional)
Work EnvironmentWeb development, data science, automation, scriptingEnterprise applications, Android development, backend systems
Industry UsageTech startups, data companies, automation firmsFinancial services, enterprise software, mobile app companies
Common Search/ComparisonOften compared for backend and scripting rolesCompared for enterprise and mobile app development

Python Developers and Java Developers share similar educational backgrounds and often work in backend environments. However, Python is favored for data science, scripting, and rapid development, while Java is preferred for large-scale enterprise applications and Android development. Both roles are highly sought after, but their industry focus and project types differ.

What are the most commonly searched types of Python Developer jobs in Lansing, MI? The most popular types of Python Developer jobs in Lansing, MI are:
What are popular job titles related to Python Developer jobs in Lansing, MI? For Python Developer jobs in Lansing, MI, the most frequently searched job titles are:
What job categories do people searching Python Developer jobs in Lansing, MI look for? The top searched job categories for Python Developer jobs in Lansing, MI are:
What cities near Lansing, MI are hiring for Python Developer jobs? Cities near Lansing, MI with the most Python Developer job openings:
Infographic showing various Python Developer job openings in Lansing, MI as of May 2026, with employment types broken down into 72% Full Time, 18% Part Time, and 10% Contract. Highlights an 70% Physical, 4% Hybrid, and 26% Remote job distribution, with an average salary of $123,672 per year, or $59.5 per hour.
AI Developer

AI Developer

Software People, Inc.

Lansing, MI • On-site

Contractor

Posted 26 days ago


Job description

Phone/Skype Hire. Onsite from day 1 / Hybrid

Location: Lansing, MI

Duration: 12+ months

Responsibilities

The position is responsible for providing ongoing maintenance and support of GCP applications such as Document AI (DOC AI) for vital records within our department. The DOC AI is a Google Cloud product that is used to scan paper marriage licenses, extract index information and images to FileNet and stored in a on-prem application called VERA. The application is utilized by Vital Records employees. Changes are being made to enhance the stability and functionality of the systems.The resource is integral to developing and maintaining DOC AI solution, streamlining critical business processes, data integrity, SEM/SUITE compliance, and securing the applications.  The resource also performs as a technical lead and provides technical guidance to the other developers in the department.  As a technical lead, the resource participates in a variety of analytical assignments that provide for the enhancement, integration, maintenance, and implementation of projects.  The resource also provides technical oversight to developers in the team that support other critical applications . Not having a resource on staff will lead to MDHSS manually documenting and developing screen plans that can lead to errors causing data integrity issues and can eventually lead to incorrect information being processed and reporting of the patient information.

Skills Needed

•             3+years in TensorFlow, PyTorch, Keras, or Scikit-learn.

•             3+ years in microservices.

•             3+years in SpaCy, NLTK, or Hugging Face’s

•             3+years in Tesseract, Google Vision API, or AWS Textract.

•             3+years in Dialogflow ES or CX, Google Assistant SDK, or other Google Cloud chatbot development tools

•             3+years in RESTful APIs and webhooks

•             3+years in SQL, R, and/or Pandas.

•             3+ years in cloud computing and software development.

•             3+ years software development in Python, Java, JavaScript.

•             3+  years implementing core Artificial Intelligence (AI) and Machine Learning (ML) concepts.

•             3+ years designing, building, and managing Google Cloud Platform (GCP) solutions.

•             3+ years in projects development using  Angular/React JS, JavaScript framework.

•             3+ years programming in the JBOSS Enterprise SOA environment including JBOSS Workflow.

•             3+ years using CMM/CMMI Level 3 methods and practices.

•             3+ years implemented agile development processes including test driven development.

•             3+ years' Experience creating CI/CD pipelines using Azure DevOps.

•             Experience in programming languages such as Python, Java, JavaScript (Node.js), and/or C++.

•             Experience in Oracle/Data Bricks/Elastic/ELK.

•             Proficiency in data processing and analysis using tools such as SQL, R, and/or Pandas.

•             Experience in working with large datasets and data preprocessing techniques.

•             Proficiency in unit testing and integration testing for chatbot flows and APIs.

•             Familiarity with debugging tools and performance monitoring to ensure the chatbot runs smoothly.

•             Strong understanding of conversation design and user experience principles to create intuitive and engaging chatbot interfaces.

•             Ability to design, develop, and deploy AI and machine learning solutions.

•             Experience with machine learning algorithms and deep learning frameworks such as TensorFlow, PyTorch, Keras, or Scikit-learn.

•             Proficiency with Natural Language Processing (NLP) tools like SpaCy, NLTK, or Hugging Face’s Transformers for text-based document processing.

•             Knowledge of NLP concepts like intent recognition, entity extraction, and context management.

•             Strong understanding of neural networks, computer vision, natural language processing, and/or reinforcement learning.

•             Experience with OCR (Optical Character Recognition) Tesseract, Google Vision API, or AWS Textract.

•             Proficiency in Dialogflow ES or CX, Google Assistant SDK, or other Google Cloud chatbot development tools.

•             Experience in building, managing, and optimizing chatbot applications for different platforms (web, mobile, voice assistants).

•             Experience in working with RESTful APIs and webhooks to enable backend communication

•             Knowledge of cloud technologies such as AWS, Google Cloud AI, or Azure AI services for document processing and AI model deployment.

•             Experience with Google Cloud Platform (GCP), including Google Cloud Functions, App Engine, and Firestore for deploying chatbots.

•             Ability to design effective conversational flows, manage dialogue context, and improve user satisfaction.

•             Familiarity with agile development methodologies and version control systems like Git.

•             Strong problem-solving and analytical skills with a focus on continuous improvement."