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Tensorflow Pytorch Jobs in Michigan (NOW HIRING)

Inficare Technologies

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)

Wolverine Staffing

AI Specialist

Pontiac, MI · On-site

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 ...

TECH Tammina

AI Specialist

Pontiac, MI · On-site

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 ...

Maddisoft

AI Specialist

Rochester, MI · On-site

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.

Tech Tammina

AI Specialist

Pontiac, MI · On-site

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 ...

Maddisoft

AI Specialist

Rochester, MI · On-site

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.

Tech Tammina LLC

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.

Advantasure, Inc.

Technical Lead I-AI Engineer

Detroit, MI · On-site

$101K - $133K/yr

Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-Learn). * Experience with OCR technologies (Document Understanding, ABBYY, Google Vision, Azure Form Recognizer). * Knowledge of ...

Software People, Inc.

AI Developer

Lansing, MI · On-site

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 ...

OpTech

AI Engineer

Troy, MI · On-site

Strong experience with Python, R, SQL, TensorFlow, PyTorch, Keras, and Scikit-learn . * Hands-on experience with Apache Spark, Databricks, and Jupyter Notebooks . * Experience with AWS (SageMaker ...

Eccalon LLC

AI Expert- Software

Detroit, MI

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

Eccalon LLC

AI Expert Robotics - onsite

Detroit, MI · On-site

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

Tech Tammina LLC

Data Scientists Modeling

Dearborn, MI · On-site

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 ...

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Tensorflow Pytorch information

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.

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 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.

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 are popular job titles related to Tensorflow Pytorch jobs in Michigan? For Tensorflow Pytorch jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Tensorflow Pytorch jobs in Michigan look for? The top searched job categories for Tensorflow Pytorch jobs in Michigan are:
What cities in Michigan are hiring for Tensorflow Pytorch jobs? Cities in Michigan with the most Tensorflow Pytorch job openings:
Tensorflow Pytorch jobs near you
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.

Technical Lead I-AI Engineer

Blue Cross Blue Shield of Michigan

Detroit, MI

$101K - $133K/yr

Other

Posted 13 days ago

Blue Cross Blue Shield of Michigan rating

7.8

Company rating: 7.8 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

188th of 301 rated insurance

Job description

IntroductionWith more than 7,000 employees, we are the largest health insurance company in Michigan. We offer an exciting work environment with a diverse group of employees. Our goal is to make health insurance easier for our members. We want to transform the industry and become a resource that people can trust.

Overview

The AI Engineer/Technical Lead is responsible for designing, developing, and leading intelligent automation solutions using UiPath’s RPA and AI ecosystem. The role combines hands-on development with technical leadership, ensuring high-quality delivery of AI-enhanced automation projects.

Responsibilities

  • Lead design and development of UiPath automation solutions, including AI Center and Document Understanding.
  • Build and deploy AI/ML models to enhance automation accuracy and efficiency.
  • Integrate workflows with APIs, databases, cloud services, and enterprise systems.
  • Provide technical leadership, code reviews, and mentorship to RPA developers.
  • Collaborate with business teams to assess processes, define requirements, and deliver scalable solutions.
  • Oversee deployment, monitoring, and optimization through UiPath Orchestrator.
  • Troubleshoot issues, maintain existing automations, and ensure best practices and governance.

Requirements

Required Skills

  • Strong problem-solving, leadership, and communication skills.
  • Strong expertise with UiPath Studio, Orchestrator, AI Center, Document Understanding, and Action Center.
  • Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-Learn).
  • Experience with OCR technologies (Document Understanding, ABBYY, Google Vision, Azure Form Recognizer).
  • Knowledge of API integration, REST/SOAP services, SQL/NoSQL databases.
  • Understanding of cloud platforms (Azure/AWS/GCP) and containerization (Docker).
  • Familiarity with Git, CI/CD pipelines, and DevOps for automation

AI & ML Expertise:

  • Design and build custom ML models (Python, TensorFlow, PyTorch, Scikit-Learn) to solve business-specific problems.

  • Fine-tune and optimize models for accuracy, performance, and scalability.

  • Manage model lifecycle: training, retraining, versioning, monitoring, and drift detection.

  • Utilize GenAI, NLP, LLM-based solutions to enhance automation (ChatGPT-like assistants, classification models, summarization tools, etc.).

What Blue Cross Blue Shield of Michigan employees say

Pay

Benefits

Hours and flexibility

Workplace

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