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Tensorflow Pytorch Jobs in Michigan (NOW HIRING)

AI Specialist

Pontiac, MI · On-site

$80/hr

TensorFlow, PyTorch, Keras, Scikit-learn * Big Data & Analytics: Apache Spark, Databricks, Jupyter Notebooks * Cloud Platforms: AWS (SageMaker, EC2, S3), Azure (Machine Learning Studio, Databricks)

Hands-on experience with AI and machine learning frameworks such as TensorFlow, PyTorch, Keras, and Scikit-learn. Experience with big data technologies including Apache Spark and Databricks.

Hands-on experience with AI and machine learning frameworks such as TensorFlow, PyTorch, Keras, and Scikit-learn. Experience with big data technologies including Apache Spark and Databricks.

Data / BI Architect

Pontiac, MI · On-site

$63.25 - $81.50/hr

... TensorFlow, PyTorch, Keras, Scikit-learn, Apache Spark, Databricks, Jupyter Notebooks, AWS (SageMaker, EC2, S3), Azure (Machine Learning Studio, Databricks), SQL, NoSQL databases.

AI Specialist

Pontiac, MI · On-site

$120 - $180/hr

Python, R, TensorFlow, PyTorch, Keras, Scikit-learn, Apache Spark, Databricks, Jupyter Notebooks, AWS (SageMaker, EC2, S3), Azure (Machine Learning Studio, Databricks), SQL, NoSQL databases, data ...

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 ...

Lead Machine Learning Engineer

Ann Arbor, MI · On-site

$100K - $132K/yr

Strong programming skills in Python and experience with machine learning libraries such as TensorFlow, PyTorch, or scikit-learn. * Ability to independently solve complex problems with limited ...

Lead Machine Learning Engineer

Ann Arbor, MI · On-site

$100K - $132K/yr

Strong programming skills in Python and experience with machine learning libraries such as TensorFlow, PyTorch, or scikit-learn. * Ability to independently solve complex problems with limited ...

Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. * Experience building APIs, microservices, or backend systems. * Strong understanding of software ...

Hands-on experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn) * Experience working with robotic systems, sensors, and actuators * Solid understanding of robotics ...

Experience with specific machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Experience Required: * Experience with data manipulation and analysis libraries/tools (e.g., Pandas ...

Machine Learning Engineer 3

Dearborn, MI · On-site

$105K - $126K/yr

Experience with machine learning frameworks such as Scikit-learn, TensorFlow, and/or PyTorch. Practical experience developing applications using Large Language Models (LLMs), prompt engineering, and ...

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Tensorflow Pytorch information

What are TensorFlow and PyTorch?

TensorFlow and PyTorch are two of the most popular open-source deep learning frameworks used by researchers and developers to build, train, and deploy machine learning models. TensorFlow, developed by Google, offers robust support for production environments and has a large ecosystem. PyTorch, developed by Facebook, is known for its flexibility, ease of use, and dynamic computational graph, making it popular in academia and research. Both frameworks support a wide range of neural network architectures and are used extensively for tasks such as computer vision, natural language processing, and reinforcement learning.

What are the key skills and qualifications needed to thrive as a deep learning engineer specializing in TensorFlow and PyTorch?

To thrive as a Deep Learning Engineer with a focus on TensorFlow and PyTorch, you need a strong background in computer science, mathematics, and machine learning, typically supported by a relevant degree. Proficiency in programming languages like Python, experience with TensorFlow and PyTorch frameworks, and familiarity with cloud platforms or GPU computing are essential. Analytical thinking, problem-solving, and effective communication are standout soft skills for collaborating with teams and interpreting model results. These skills are crucial for developing, deploying, and optimizing AI models that drive innovation and solve complex real-world problems.

How do TensorFlow/PyTorch engineers typically collaborate with data scientists and other team members in a production environment?

TensorFlow and PyTorch engineers often work closely with data scientists to transform experimental machine learning models into efficient, scalable production solutions. Collaboration involves frequent code reviews, shared development environments, and regular meetings to align model requirements with deployment constraints. Engineers also coordinate with DevOps teams to ensure smooth integration and monitoring of models in production. Strong communication skills and a willingness to iterate on solutions are essential for bridging the gap between research and real-world application.

What is the difference between Tensorflow Pytorch vs Data Scientist?

AspectTensorflow PytorchData Scientist
Required SkillsDeep learning frameworks, Python, machine learningData analysis, statistical skills, Python/R, machine learning
Work EnvironmentAI/ML development, research, software engineeringData analysis, reporting, business insights
Industry UsageAI/ML projects, research labs, tech companiesBusiness, finance, healthcare, tech

Tensorflow and Pytorch are deep learning frameworks used primarily by AI/ML developers, while Data Scientists utilize these tools for data analysis and modeling. Although their skill sets overlap, Tensorflow Pytorch focus on model development, whereas Data Scientists apply these models to derive insights and inform decisions.

What cities in Michigan are hiring for Tensorflow Pytorch jobs?

Cities in Michigan with the most Tensorflow Pytorch job openings:

Infographic showing various Tensorflow Pytorch job openings in Michigan as of June 2026, with employment types broken down into 1% Internship, 90% Full Time, 7% Part Time, and 2% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.

$80/hr

Full-time

Re-posted 7 days ago


Job description

Job Title: AI Specialist
Location: Pontiac, MI
Job Type: Contract
Required Skills
  • Programming: Python, R
  • ML Frameworks: TensorFlow, PyTorch, Keras, Scikit-learn
  • Big Data & Analytics: Apache Spark, Databricks, Jupyter Notebooks
  • Cloud Platforms: AWS (SageMaker, EC2, S3), Azure (Machine Learning Studio, Databricks)
  • Databases: SQL, NoSQL
  • Data Visualization: Tableau, PowerBI