ZipRecruiter

Log In

1

Tensorflow Pytorch Jobs in Michigan (NOW HIRING)

HTC Global Services

AI Engineer

Grand Rapids, MI · On-site

Proficiency in Python and frameworks such as TensorFlow, PyTorch, or Scikit-learn. * Experience with cloud platforms including AWS, Azure, and GCP AI services. * Strong knowledge of data engineering ...

Saransh Inc

Senior Robotics Data Engineer - Only W2

Warren, MI · On-site

$99K - $135K/yr

Senior Robotics Data Engineer (ML/AI systems, Python, TensorFlow and/or PyTorch, Power BI, Azure data services) Key Responsibilities: · Design and implement scalable data pipelines for large-scale ...

next page

Showing results 1-20

All JobsTensorflow Pytorch JobsTensorflow Pytorch Jobs in Michigan

Tensorflow Pytorch information

What are the key skills and qualifications needed to thrive as a Deep Learning Engineer specializing in TensorFlow and PyTorch, and why are they important?

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 92% Full Time, 5% Part Time, and 3% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution.
AI Engineer

AI Engineer

HTC Global Services

Grand Rapids, MI • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 hours ago

Job description

Job Title
AI/ML Solutions Architect (GenAI & RAG)
Overview / Summary
We are seeking an experienced AI/ML Solutions Architect with 10+ years of software engineering and/or data science experience, including 3-5+ years in AI/ML architecture roles. The role is responsible for defining AI/ML architecture strategy, designing end-to-end AI solutions, and leading architecture initiatives across Generative AI, LLMs, machine learning, and data platforms.
Key Responsibilities
  • Define and drive the AI/ML architecture strategy across the organization.
  • Design end-to-end AI solutions.
  • Lead architecture for Generative AI, LLMs, and traditional machine learning models.
  • Design scalable data pipelines and real-time/streaming architectures.
  • Establish MLOps practices for model versioning, deployment, and monitoring.
  • Collaborate with AI and Data teams to define and promote best practices in AI system design.
  • Evaluate emerging AI technologies and define adoption strategies.

Required Qualifications
  • 10+ years of experience in software engineering and/or data science.
  • 3-5+ years of experience in AI/ML architecture roles.
  • Strong experience in AI/ML architecture and system design.
  • Strong experience with RAG (Retrieval-Augmented Generation).
  • Expertise in machine learning, deep learning, and NLP.
  • Hands-on experience with LLMs and Generative AI (GPT, Llama, etc.).
  • Proficiency in Python and frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Experience with cloud platforms including AWS, Azure, and GCP AI services.
  • Strong knowledge of data engineering, including ETL pipelines, data lakes, and streaming architectures.
  • Experience with MLOps tools such as MLflow, Kubeflow, SageMaker, and Vertex AI.
  • Understanding of APIs, microservices, and distributed systems.
  • Knowledge of vector databases.
  • Experience with DevOps/CI-CD pipelines for machine learning.
  • Exposure to AI governance and compliance.

What Makes HTC A Great Place To Build Your Future
HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you'll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You'll have long-term opportunities to grow your career and develop skills in the latest emerging technologies.
At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks.
Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.
#LI-NS1 #LI-Onsite #Hiring

Apply