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Tensorflow Pytorch Jobs in Michigan (NOW HIRING)

Digitas

Manager, Data Engineering

Birmingham, MI · On-site

$88K - $121K/yr

Experience with XGBoost, TensorFlow, PyTorch, sklearn, or Keras * Cloud Platforms: Solid hands-on experience with GCP, AWS, or Azure * ML Platforms: Practical knowledge of Vertex AI, SageMaker, Azure ...

Magna

Engineer I - Software Algorithm

Auburn Hills, MI · On-site

Excellent programming skills with C or C++; familiarity with Python with proficiency in deep learning frameworks (TensorFlow, PyTorch, Keras) is advantageous. * Strong grasp of machine learning ...

X by 2

Technical Lead (Applied AI)

Detroit, MI

Machine Learning & Deep Learning: developing and training models using standard ML/DL frameworks (e.g., TensorFlow, PyTorch, scikit-learn) * Data Engineering & Feature Engineering: building data ...

Corning

$104K - $142K/yr

Strong understanding of workflow and process automation using AI/ML tools or frameworks such as TensorFlow, PyTorch, OpenAI, or similar platforms. Experience working with large‑scale security ...

CFS

Software Development Team Lead

East Lansing, MI

$130K - $160K/yr

Exposure to AI frameworks, APIs, or LLM-based development (e.g., TensorFlow, PyTorch, OpenAI/Anthropic APIs, AWS Bedrock). * Background in full-stack development with modern frontend frameworks ...

CFS

Software Engineer Team Lead

Lansing, MI

$130K - $160K/yr

Exposure to AI frameworks, APIs, or LLM-based development (e.g., TensorFlow, PyTorch, OpenAI/Anthropic APIs, AWS Bedrock). * Background in full-stack development with modern frontend frameworks ...

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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.
Practice Manager - AI & Data

Practice Manager - AI & Data

ALTEN Technology USA

Troy, MI • On-site

Full-time

Posted 3 days ago

Job description

Job Summary:
ALTEN Technology USA is an engineering company that assists clients in various sectors, including aerospace and automotive, in bringing innovative ideas to fruition. The Practice Manager for AI & Data will lead the AI & Data practice, manage resources, and drive client engagement while providing technical leadership in advanced AI and data domains.
Responsibilities:
• Lead and manage the AI & Data practice
• Manage and steer the allocation of practice resources across multiple activities, including:
• Technical pre-sales support
• Technical expertise delivery to projects
• Recruitment support
• Training and competency development
• Provide line management and leadership to members of the practice including technical leadership across AI and Data
• Define skills development objectives for practice members and evaluate progress and effectiveness
• Develop, improve, and standardize processes, methodologies, and tools
• Foster a culture of collaboration, innovation, and knowledge sharing across the practice
• Partner with Sales and Account teams to identify and shape AI & Data opportunities
• Lead or contribute to solutioning, proposals, and RFP responses
• Act as a trusted advisor in client discussions and executive forums
• Align AI & Data solutions with business value and client outcomes
• Provide leadership across advanced AI & Data domains:
• Generative AI & LLM ecosystems (prompt engineering, RAG, multi-agent systems)
• Data Engineering & Modern Data Platforms (ETL/ELT, streaming, data lakes, data mesh)
• Cloud-based AI architectures (AWS, Azure, GCP AI services)
• Machine Learning & Deep Learning (supervised, unsupervised, reinforcement learning)
• Support delivery teams with hands-on guidance and expert oversight
• Drive development of AI & Data offerings, accelerators, and reusable assets
• Identify opportunities for AI-driven productivity gains and automation
• Ensure adoption of industry best practices and scalable architectures
• Create, maintain, and manage the practice skill matrix
• Identify competency gaps and develop capability-building plans
• Develop and coordinate technical training programs and certification initiatives
• Build and strengthen a team of experts through:
• Recruitment
• Coaching and mentoring
• Internal talent development and training
• Support career development planning and succession management within the practice
• Promote technical communities, best practices, and continuous learning initiatives
Qualifications:
Required:
• 12-15 years of experience in consulting, engineering services, or technology-driven organizations
• 5+ years of experience in AI, Data, or Analytics leadership roles
• Proven experience building and scaling technical teams or practices
• Experience in Generative AI technologies (LLMs, RAG pipelines, prompt engineering, API-based AI services)
• Experience in AI/ML frameworks (e.g., Python ecosystem, TensorFlow, PyTorch, Scikit-learn)
• Experience in Data Engineering tools & platforms (Spark, Databricks, distributed systems)
• Experience in Cloud AI ecosystems (Azure AI, AWS SageMaker/Bedrock, Google Vertex AI)
• Experience in MLOps / LLMOps tools (MLflow, Kubeflow, containerization, orchestration)
• Understanding of data governance, security, and AI regulations
• Bachelor’s degree (or higher) in Computer Science, Data Science, AI, or related field
Preferred:
• Certifications in AI/ML, Cloud are a plus
Company:
ALTEN Technology USA is an engineering consulting company. It is a sub-organization of Alten. Founded in 1988, the company is headquartered in Greensboro, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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