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Python Programming Jobs in Ann Arbor, MI (NOW HIRING)

Superprof

Python Private Tutoring Jobs

Ann Arbor, MI · On-site

$49.25 - $67.75/hr

We are looking for students, professionals, retirees or anyone with a passion to share, to join the largest community of teachers worldwide! If you have free time and want to share your knowledge, we ...

Superprof

Python Private Tutoring Jobs

Ann Arbor, MI

$49.25 - $67.75/hr

We are looking for students, professionals, retirees or anyone with a passion to share, to join the largest community of teachers worldwide! If you have free time and want to share your knowledge, we ...

University of Michigan

Lead Network Engineer

Ann Arbor, MI · On-site

$103K - $114K/yr

Python programming; computer networking; and radio frequency fundamentals * Demonstrated experience determining project objectives and requirements, anticipating and solving problems, and developing ...

General Motors

Software Test Engineer

Milford, MI · Hybrid

Proficient in Python programming language * Experience with GitHub, Jenkins, GitHub Actions, Jira and other configuration management, version control and code quality tools * High level of oral and ...

Judge Group, Inc.

Midlevel AI Developer

Ann Arbor, MI · On-site

$50 - $55/hr

Experience programming in one or more of the following languages: Python, Java, C#, or TypeScript/JavaScript. Experience developing REST APIs and distributed services. Experience working with cloud ...

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How much do python programming jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for python programming in Ann Arbor, MI is $57.35, according to ZipRecruiter salary data. Most workers in this role earn between $47.26 and $65.14 per hour, depending on experience, location, and employer.

What is Python programming?

Python programming refers to writing code in the Python language, a versatile and high-level programming language known for its readability and simplicity. Python is widely used for web development, data analysis, artificial intelligence, scientific computing, and automation. Its large standard library and active community make it a popular choice for both beginners and experienced developers. Python supports multiple programming paradigms, including procedural, object-oriented, and functional programming. Because of its simple syntax and vast ecosystem, Python is a great starting point for anyone looking to learn programming or develop complex applications.

What are the key skills and qualifications needed to thrive as a Python programmer?

To thrive as a Python Programmer, you need strong proficiency in Python programming, knowledge of data structures and algorithms, and often a degree in computer science or a related field. Familiarity with popular libraries like Pandas, NumPy, and frameworks such as Django or Flask, along with experience using version control systems like Git, is typically required. Problem-solving ability, attention to detail, and effective communication are crucial soft skills that set top programmers apart. These competencies ensure efficient code development, successful collaboration, and the delivery of robust software solutions.

What are some common challenges python programmers face when working on collaborative projects?

Python programmers often encounter challenges like maintaining code consistency, managing dependencies, and merging code changes when working with a team. Adhering to coding standards (such as PEP 8) and using tools like version control systems (e.g., Git) are crucial to streamline collaboration. Regular code reviews and clear documentation also help prevent misunderstandings and ensure smooth integration of each team member's contributions.

What is the difference between Python Programming vs Data Analyst?

AspectPython ProgrammingData Analyst
Required SkillsProficiency in Python, scripting, algorithmsData interpretation, Excel, SQL, basic Python
Work EnvironmentSoftware development, coding projectsData analysis, reporting, business insights
Industry UsageTech, finance, automationMarketing, finance, healthcare

Python Programming involves writing code to develop software, automate tasks, and build applications, requiring strong coding skills. Data Analysts focus on interpreting data, creating reports, and providing insights, often using Python as a tool. While Python Programming emphasizes coding expertise, Data Analysts combine analytical skills with some programming knowledge. Both roles often overlap, especially when Data Analysts use Python for data manipulation and analysis.

Is Python programming a good career?

Python programming is a popular and in-demand skill in the tech industry, with applications in web development, data analysis, machine learning, and automation. Careers in Python often offer competitive salaries, opportunities for remote work, and require knowledge of related tools like libraries and frameworks. It is considered a strong choice for those interested in software development and data science roles.

Is there a demand for Python programmers?

Python programming is in high demand across various industries such as technology, finance, and data science. Employers seek Python developers for roles involving web development, automation, machine learning, and data analysis, often requiring knowledge of frameworks like Django or libraries such as Pandas. The job market for Python programmers remains strong due to its versatility and widespread use in emerging technologies.

What jobs can I do with just Python programming?

With Python programming skills, you can pursue roles such as Python developer, data analyst, automation engineer, or backend web developer. These jobs often require knowledge of frameworks like Django or Flask, and familiarity with databases and version control systems.
Python Programming jobs near you
Infographic showing various Python Programming job openings in Ann Arbor, MI as of August 2026, with employment types broken down into 1% Internship, 75% Full Time, 19% Part Time, 4% Contract, and 1% Nights. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $119,291 per year, or $57.4 per hour.

Senior GenAI / ML Engineer (W2 Position)

Dearborn Heights, MI • On-site

Megan soft Inc
IT Services • 11 - 50 employees
Learn more about Megan soft Incexternal

$96K - $132K/yr

Other

Re-posted yesterday

Job description

Hi We have a job opportunity of a Role Senior GenAI / ML Engineer with given job description on W2. Please forward updated profile to Koti@megansoft.com or +1  (248) 671-4750.

Role: Senior GenAI / ML Engineer (W2 Position)

Location: Dearborn, MI (Hybrid)

Duration: 12+ Months

Experience: 10+ Years

JD:

Skills Required:

GCP, Big Data, Artificial Intelligence & Expert Systems, API

  • GCP – Experience deploying and managing services on Google Cloud Platform, including Compute Engine, Cloud Storage, IAM, and Cloud Functions. For example, designing and implementing a cloud-native application architecture using GKE (Google Kubernetes Engine) with Cloud SQL and Pub/Sub.
  • Big Data – Experience working with large-scale data processing frameworks such as Apache Spark, Dataflow, or BigQuery. For example, building ETL pipelines that process terabytes of daily event data and transform it for downstream analytics.
  • Data Warehousing – Experience designing and maintaining data warehouse solutions (e.g., BigQuery, Snowflake, Redshift). For example, modeling a star schema for a retail analytics platform that supports reporting on sales, inventory, and customer behavior.
  • Artificial Intelligence & Expert Systems – Experience developing or integrating AI/ML models and rule-based expert systems. For example, building a classification model using Vertex AI to predict customer churn, or implementing a rule engine that automates underwriting decisions.
  • API – Experience designing, building, and consuming RESTful or gRPC APIs. For example, developing a versioned REST API with OAuth 2.0 authentication that serves as the integration layer between a mobile application and backend microservices.

Skills Preferred:

Google Cloud Platform

  • Google Cloud Platform – Familiarity with advanced GCP services beyond core compute and storage, such as Vertex AI, Dataflow, Cloud Composer (Airflow), and BigQuery ML. For example, using Cloud Composer to orchestrate scheduled data pipelines that feed into a BigQuery data warehouse.

Experience Required:

  • Senior Engineer Exp: Prac. In 2 coding lang. or adv. Prac. in 1 lang.; guides. 10+ years in IT; 8+ years in development

Experience Preferred:

  • Strong understanding of Generative AI principles and architectures, including Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems.
  • Proven experience in building and deploying RAG systems, including the use of **Vector Databases**.
  • Proficiency in Python programming.
  • Solid experience with SQL for data manipulation and querying.
  • Hands-on experience with Google Cloud Platform (GCP) services relevant to AI/ML.
  • Basic understanding and practical experience with Machine Learning model fine-tuning.
  • Familiarity with data engineering concepts and practices.
  • Expertise in prompt engineering techniques for interacting with LLMs.
  • Experience with the OpenAI SDK.
  • Experience developing robust APIs, preferably with **FastAPI**.
  • Proficiency with **version control systems (e.g., Git)**.
  • Experience with **containerization technologies (e.g., Docker)**.
Thanks & Regards
Azmeera koti
Megan Soft, Inc.
17177 N. Laurel Park Dr;
Suite #337, Livonia, MI - 48152.
Direct No: +1  (248) 671-4750
E Mail : Koti@megansoft.com
Website : www.megansoft.com
Linked In ID : www.linkedin.com/in/koti-azmeera-104253335