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Python Ai Ml Jobs in Dearborn, MI (NOW HIRING)

Megan soft Inc

Senior AI/ML Engineer

Dearborn Heights, MI · On-site

$96K - $132K/yr

Strong proficiency in Python and SQL. Familiarity with Graph Query Languages (e.g., Cypher). * Demonstrated experience with MLOps principles and tools (e.g., Azure ML, AWS SageMaker, GCP AI Platform ...

TEKsystems

AI/ML Engineer

Dearborn, MI · On-site +1

$50 - $75/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Top Skills' Details 4+ years experience as AI/ML Engineer Ability to design, build and deploy ... Strong Python, FastAPI, asynchronous programming, API design, Docker, and modern web-development ...

Posted today

General Motors

AI/ML Data Scientist (GPSSC)

Warren, MI · On-site

As an AI/ML Data Scientist, you will be responsible for working with our customers to understand ... Python, R, Java, PySpark, PyTorch, TensorFlow, Scikit-learn, LangChain, SQL * Machine Learning & AI

General Motors

AI/ML Data Scientist (GPSSC)

Warren, MI · On-site

As an AI/ML Data Scientist, you will be responsible for working with our customers to understand ... Python, R, Java, PySpark, PyTorch, TensorFlow, Scikit-learn, LangChain, SQL * Machine Learning & AI

General Motors

AI/ML Data Scientist (GPSSC)

Warren, MI · On-site

As an AI/ML Data Scientist, you will be responsible for working with our customers to understand ... Python, R, Java, PySpark, PyTorch, TensorFlow, Scikit-learn, LangChain, SQL * Machine Learning & AI

KLA Corporation

Sr. Software Engineer - AI/ML

Ann Arbor, MI · Hybrid

$119K - $158K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

AI/ML Solution Development: Design, develop, and implement machine learning models and AI ... Proficiency in Python, or similar languages, with experience in libraries like TensorFlow, Scikit ...

Kla

Sr. Software Engineer - AI/ML

Ann Arbor, MI · Hybrid

$119K - $158K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

AI/ML Solution Development: Design, develop, and implement machine learning models and AI ... Proficiency in Python, or similar languages, with experience in libraries like TensorFlow, Scikit ...

KLA Corporation

Sr. Software Engineer - AI/ML

Ann Arbor, MI · On-site

$119K - $158K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

AI/ML Solution Development: Design, develop, and implement machine learning models and AI ... Proficiency in Python, or similar languages, with experience in libraries like TensorFlow, Scikit ...

Orbotech

Sr. Software Engineer - AI/ML

Ann Arbor, MI · Hybrid

$119K - $158K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

AI/ML Solution Development: Design, develop, and implement machine learning models and AI ... Proficiency in Python, or similar languages, with experience in libraries like TensorFlow, Scikit ...

KLA

Sr. Software Engineer - AI/ML

Ann Arbor, MI · On-site

$119K - $158K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

AI/ML Solution Development: Design, develop, and implement machine learning models and AI ... Proficiency in Python, or similar languages, with experience in libraries like TensorFlow, Scikit ...

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How much do python ai ml jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for python ai ml in Dearborn, MI is $53.86, according to ZipRecruiter salary data. Most workers in this role earn between $44.38 and $61.15 per hour, depending on experience, location, and employer.

What is a Python AI ML engineer?

Python AI/ML engineers are professionals who use Python programming language to design, develop, and implement artificial intelligence (AI) and machine learning (ML) algorithms and models. Their work involves analyzing data, building predictive models, and deploying machine learning solutions to solve real-world problems. They are skilled in libraries such as TensorFlow, PyTorch, and Scikit-learn, and often collaborate with data scientists and software engineers. These engineers play a key role in transforming data into actionable insights and AI-powered applications.

How does a Python AI ML engineer typically collaborate with data engineers and domain experts during a project?

Python AI/ML professionals frequently work closely with data engineers to ensure data pipelines are robust, clean, and optimized for modeling. They also collaborate with domain experts to understand business needs, refine problem statements, and interpret results in the context of real-world applications. Effective communication and regular meetings are essential, as these collaborations help bridge technical and business perspectives, ensuring that machine learning solutions are both technically sound and aligned with organizational goals.

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

To thrive as a Python AI/ML Engineer, you need strong proficiency in Python programming, a solid background in mathematics and statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), version control systems, and cloud platforms is typically required, along with relevant certifications being advantageous. Analytical thinking, problem-solving, and effective communication are essential soft skills that help translate business needs into technical solutions. These skills ensure the development of accurate, scalable, and efficient AI/ML models that deliver value to organizations.

Is Python good for AI ML?

Python is widely used in AI and ML roles due to its simplicity, extensive libraries like TensorFlow and scikit-learn, and strong community support. It is considered one of the best programming languages for developing machine learning models and artificial intelligence applications.

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Python Ai Ml jobs near you

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

Benzinga

Detroit, MI • On-site, Remote

Full-time

Posted 29 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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