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Python Engineer Ai Jobs in Michigan (NOW HIRING)

Apex Systems

Full Stack Python Engineer

Dearborn, MI · On-site

Python Full Stack Engineer Location: Hybrid - 4 days/week onsite in SE MI Duration: Long-Term ... Experience developing AI/ML-enabled applications. * Familiarity with machine learning frameworks ...

New

Stefanini Group

AI Engineer

Dearborn, MI · On-site

Stefanini is looking for an AI Engineer, Dearborn, MI (Onsite) For quick apply, please reach out ... Strong proficiency in Python, including asynchronous and concurrent programming. * Experience ...

Stefanini

AI Engineer

Dearborn, MI · On-site

Stefanini is looking for an AI Engineer, Dearborn, MI (Onsite) For quick apply, please reach out ... Strong proficiency in Python, including asynchronous and concurrent programming.Experience ...

Stefanini Group

AI Engineer

Dearborn, MI

Stefanini is looking for an AI Engineer, Dearborn, MI (Onsite) For quick apply, please reach out ... Strong proficiency in Python, including asynchronous and concurrent programming. * Experience ...

Stefanini Group

AI Engineer

Dearborn, MI

Stefanini is looking for an AI Engineer, Dearborn, MI (Onsite) For quick apply, please reach out ... Strong proficiency in Python, including asynchronous and concurrent programming. * Experience ...

HARMAN International

Principal Engineer, AI

Novi, MI · On-site

AI Engineering Leadership: * Define best practices for AI solution design, deployment, and ... Expert-level Python and deep experience with ML/AI frameworks * Strong hands-on experience with ...

THOMSON REUTERS

Senior Software Engineer, AI

Ann Arbor, MI · On-site

$119K - $158K/yr

Strong proficiency in Python and practical experience with AI/ML frameworks (e.g., PyTorch ... Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to ...

Tror AI for everyone

Java AI Engineer

Farmington Hills, MI · On-site

$51 - $69.75/hr

JOB Title: Java AI Engineer Location: Farmington Hills, MI (Hybrid) Hiring Type: Contract Note ... Python and Java (intermediate to advanced proficiency) * Ability to quickly build working proof-of ...

Pwc

GenAI Python Systems Engineer-Manager

Detroit, MI · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... Engineer Associate] is a plus - Proficient in Python and SQL - Experience with Docker and ...

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All JobsPython Engineer Ai JobsPython Engineer Ai Jobs in Michigan

Python Engineer Ai information

What is the difference between Python Engineer Ai vs Data Scientist?

AspectPython Engineer AiData Scientist
Required SkillsPython, AI/ML frameworks, software developmentStatistics, data analysis, Python, machine learning
Work EnvironmentSoftware development teams, AI projectsResearch, data analysis, business insights
Common CertificationsPython certifications, AI/ML coursesData Science certifications, statistical courses
Industry UsageTech, AI startups, software companiesFinance, healthcare, marketing, research

Python Engineer Ai focuses on developing AI applications and integrating machine learning models into software systems, requiring strong programming skills. Data Scientists analyze data to extract insights, often using statistical methods and data visualization. While both roles involve Python and machine learning, Python Engineer Ai emphasizes software development for AI solutions, whereas Data Scientists focus on data analysis and interpretation.

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For Python Engineer Ai jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Python Engineer Ai jobs in Michigan look for?

The top searched job categories for Python Engineer Ai jobs in Michigan are:

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Infographic showing various Python Engineer Ai job openings in Michigan as of August 2026, with employment types broken down into 65% Full Time, 5% Part Time, and 30% Contract. Highlights an 92% In-person, 5% Hybrid, and 3% Remote job distribution.

AI Machine Learning Engineer (AI / ML: Python / Go)

Benzinga

Detroit, MI • On-site, Remote

Full-time

Re-posted 12 days ago

Job description

About Benzinga
Benzinga is a fast-growing financial media and data technology company reshaping how investors access information. We combine artificial intelligence, machine learning, and real-time data pipelines to surface insights before they hit the mainstream. Our platforms deliver structured news, sentiment analytics, and financial data APIs used by leading banks, fintechs, and AI companies worldwide.
We're seeking a highly motivated AI / Machine Learning Engineer who thrives at the intersection of data science and backend engineering - someone who can take a model from notebook to production, and architect intelligent systems in Go and Python that scale to millions of requests.
The ideal candidate is a self-starter who independently identifies opportunities, experiments with new approaches, and ships production-ready solutions without constant direction.
Key Responsibilities
AI / Machine Learning
  • Research, design, and deploy machine learning models across NLP, time-series forecasting, and event detection domains.
  • Build LLM-driven systems (e.g. summarization, RAG pipelines, embedding search) optimized for financial news and quantitative data.
  • Develop model serving APIs and scalable inference layers using Go or Python.
  • Implement model monitoring, drift detection, and continuous retraining pipelines.
  • Work with financial text (earnings call transcripts, filings, news) to extract structured insights.
  • Collaborate with data engineers to build training datasets, feature stores, and embedding databases.

Backend & Infrastructure
  • Develop and maintain high-performance Python or Go microservices that integrate with AI systems and Go data APIs.
  • Design and optimize real-time inference pipelines on AWS, leveraging ECS/EKS, S3, and Lambda.
  • Ensure low-latency, fault-tolerant, and scalable delivery of AI-powered data.
  • Implement CI/CD for ML workflows, including containerization, automated deployment, and versioning.
  • Partner with DevOps to manage cloud infrastructure and ensure robust observability for AI workloads.

Requirement for applying:
  • During your screening you will be required to submit a Loom video walkthrough of your most exceptional product, share relevant code/repo links, and describe the biggest challenge you faced building it.

Required Qualification
  • 4+ years of experience in AI/ML or data engineering roles, with a proven track record of deploying ML models in production.
  • Computer science degree (Bachelor minimum)
  • Deep proficiency in Python (data, ML) and Go (backend, microservices).
  • Hands-on experience with ML frameworks such as PyTorch, TensorFlow, or Hugging Face.
  • Experience with transformer architectures, embeddings, or fine-tuning LLMs.
  • Strong understanding of data pipelines, feature extraction, and model lifecycle management.
  • Familiarity with Docker, Kubernetes, and AWS (EKS, S3, Lambda, EC2).
  • Excellent problem-solving skills and ability to work independently in a distributed environment.

Preferred Skills / Experience
  • Startup experience.
  • Financial services or fintech background
  • Experience building LLM-powered APIs or retrieval-augmented generation (RAG) systems.
  • Knowledge of vector databases (e.g., Pinecone, Weaviate, FAISS, OpenSearch kNN).
  • Experience with Kafka, LangChain, or data streaming architectures.
  • Familiarity with financial data systems, real-time analytics, or news NLP.
  • Exposure to MLOps tools (MLflow, BentoML, SageMaker, Airflow, etc.).
  • Contributions to open-source ML or Go projects are a strong plus.

Tech Stack
  • Languages: Python, Go
  • ML Frameworks: PyTorch, TensorFlow, Hugging Face, LangChain
  • Cloud: AWS (EKS, ECS, S3, Lambda, EC2, IAM)
  • Containers & Orchestration: Docker, Kubernetes
  • Data & Streaming: Kafka, Postgres, OpenSearch
  • CI/CD: GitHub Actions, GitLab CI
  • Monitoring: Datadog, Prometheus, Grafana
  • Version Control: Git (Gitlab / Github)

Why Join Benzinga
  • Build and ship production AI systems that shape how financial markets understand information.
  • Operate with full creative freedom - explore, experiment, and execute your ideas end-to-end.
  • Work with a lean, highly technical team where initiative and ownership are celebrated.
  • Fully remote, high-trust environment that rewards curiosity, speed, and execution.
Benzinga logo

About Benzinga

Sourced by ZipRecruiter

Benzinga is a full-service news and media company with three main areas of expertise: real-time news, actionable trading ideas and insightful commentary. We offer coverage of all aspects of the financial market including corporate, economic and political content. With strong connections in and around the market, we strive to provide high quality and relevant news for the real-time environment that defines today's world.

Industry

Video and audio streaming services

Company size

11 - 50 Employees

Headquarters location

Detroit, MI, US

Year founded

2010

Social media

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