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Python Ml Developer Jobs in Detroit, MI (NOW HIRING)

Senior ML Engineer - Mapping

Ann Arbor, MI · On-site

$102K - $140K/yr

Strong programming skills in Python and/or C++ with experience in modular software design and Linux ... Expertise in ML optimization for real-time products with limited compute, such as quantization and ...

Strong proficiency in Python with experience building production ML or LLM systems * Hands-on ... Data: Snowflake, Databricks, Postgres, Redis * DevOps: Docker, Terraform, GitHub Actions, CI/CD ...

Python * Java * SQL * API * Cloud Computing * Relational Databases Skills Preferred: * Artificial ... Engineer 3 Exp: Prac. In 2 coding lang. or adv. Prac. in 1 lang. * 6+ years in IT * 4+ years in ...

Python Java SQL API Cloud Computing Relational Databases Skills Preferred: Artificial Intelligence ... Engineer 3 Exp: Prac. In 2 coding lang. or adv. Prac. in 1 lang. 6+ years in IT 4+ years in ...

Strong programming skills in Python, C / C++, Java, etc ... Experience with AI/ML technologies, APIs, and system integrations. * Understanding of workflow ...

AI engineer

Dearborn, MI · On-site

$89K - $122K/yr

The team you will be working on supports ML Practitioners and Data Scientists in their Mach1ML ... Skills Preferred: • Experience working with Google Cloud platform. • Experience with Python and ...

Senior ML Compiler Engineer

Warren, MI

$98K - $134K/yr

... ML engineers across the AV organizationto compile their models. You willwork on an evolvinga state ... Expertisein writing production quality Python/C++ code * Expertisein the software development life ...

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Python Ml Developer information

See Detroit, MI salary details

$13

$58

$85

How much do python ml developer jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for python ml developer in Detroit, MI is $58.03, according to ZipRecruiter salary data. Most workers in this role earn between $47.84 and $65.91 per hour, depending on experience, location, and employer.

What does a Python ML Developer do?

A Python ML Developer designs, builds, and deploys machine learning models using the Python programming language. They work with large datasets, clean and process data, select appropriate algorithms, and use libraries like TensorFlow, PyTorch, or scikit-learn to implement solutions. Their work often involves collaborating with data scientists and engineers to integrate machine learning models into applications. Additionally, they may be responsible for testing, tuning, and optimizing models to achieve the best possible performance in real-world scenarios.

What are some common challenges Python ML Developers face when deploying machine learning models to production?

Python ML Developers often encounter challenges such as ensuring model scalability, managing dependencies, and maintaining reproducibility when deploying models into production environments. Integrating machine learning models with existing systems can require close collaboration with DevOps and software engineering teams to streamline workflows and automate deployment pipelines. Additionally, monitoring model performance over time and handling data drift are crucial responsibilities to ensure continued accuracy and reliability of deployed solutions.

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

To thrive as a Python ML Developer, you need strong programming skills in Python, a solid understanding of machine learning algorithms, and a background in mathematics or statistics, often supported by a degree in computer science, engineering, or a related field. Familiarity with tools and libraries such as TensorFlow, scikit-learn, PyTorch, and version control systems like Git is essential, along with experience using data visualization and cloud platforms. Critical soft skills include problem-solving, adaptability, and effective communication to collaborate with cross-functional teams and explain complex models to stakeholders. These skills ensure the successful development, deployment, and maintenance of machine learning solutions that drive business value.

What is the difference between Python Ml Developer vs Data Scientist?

AspectPython Ml DeveloperData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; Python, ML certificationsBachelor's/Master's in Data Science, Statistics, or related; Python, ML certifications
Work EnvironmentSoftware development teams, AI/ML projectsResearch, data analysis, modeling teams
Employer & Industry UsageTech companies, startups, AI firmsFinance, healthcare, tech, research institutions
Common Search & ComparisonYesYes

Python ML Developers focus on building and deploying machine learning models using Python, often working closely with software engineering teams. Data Scientists analyze data, create models, and generate insights, often using Python along with statistical tools. While both roles require Python and ML knowledge, Python ML Developers are more involved in implementation and deployment, whereas Data Scientists focus on data analysis and research.

What are popular job titles related to Python Ml Developer jobs in Detroit, MI? For Python Ml Developer jobs in Detroit, MI, the most frequently searched job titles are:
What job categories do people searching Python Ml Developer jobs in Detroit, MI look for? The top searched job categories for Python Ml Developer jobs in Detroit, MI are:
Senior GenAI / ML Engineer (W2 Position)

Senior GenAI / ML Engineer (W2 Position)

Megan soft Inc

Dearborn Heights, MI • On-site

$96K - $132K/yr

Other

Posted 6 days ago


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