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Pytorch Jobs in Michigan (NOW HIRING)

Saransh Inc

Senior Robotics Data Engineer - Only W2

Warren, MI · On-site

$99.60K - $135.20K/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 ...

Tech Tammina LLC

Data / BI Architect

Pontiac, MI · On-site

$63.25 - $81.50/hr

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

Howmet Aerospace

AI Engineer

Whitehall, MI · On-site

Preferred : • 2+ years AI/ML experience • Strong Python, TensorFlow/PyTorch, cloud (AWS/Azure) experience • MS in Computer Science, Data Science, or Engineering from an accredited institution ...

General Motors

Senior Perception Engineer

Warren, MI · On-site

$98.10K - $134.70K/yr

... PyTorch, TensorFlow • Familiarity with 3D vision, graphics pipelines, and robotic data modalities Preferred : • Hands-on experience with robotic systems and frameworks (ROS/ROS2, MoveIt, Nav2 ...

New

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 ...

JDA

Sr Gen AI Engineer

Ann Arbor, MI

$87.52K - $140.77K/yr

Experience with machine learning frameworks such as PyTorch, TensorFlow, or JAX * Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization technologies with Docker and kubernetes

JDA

Sr Gen AI Engineer

Southfield, MI

$87.52K - $140.77K/yr

Experience with machine learning frameworks such as PyTorch, TensorFlow, or JAX * Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization technologies with Docker and kubernetes

Faurecia

Data Scientist

Auburn Hills, MI · On-site

... as PyTorch and TensorFlow to implement machine learning solutions. • Apply statistical techniques and machine learning algorithms to solve complex problems in the automotive sector. • Stay ...

Canopy

Senior Machine Learning Engineer

Detroit, MI · On-site +1

$126K - $180K/yr

Expertise in Python with extensive experience in at least one deep learning framework (PyTorch or TensorFlow. * Proven ability to develop production-grade ML applications for training, evaluation and ...

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Pytorch information

What is a PyTorch job?

A PyTorch job typically involves working with the PyTorch deep learning framework to develop, train, and deploy machine learning models. Professionals in this role may build neural networks, perform data preprocessing, optimize models, and integrate them into applications. These jobs are commonly found in AI research, software development, and data science, requiring expertise in Python, deep learning, and model optimization techniques.

What are the key skills and qualifications needed to thrive in the Pytorch position, and why are they important?

To thrive in a PyTorch developer role, you need a strong background in deep learning, programming (especially Python), and a solid understanding of machine learning fundamentals, often supported by a degree in computer science, engineering, or a related field. Experience with PyTorch, CUDA, cloud platforms (like AWS or Azure), and familiarity with data processing pipelines are highly valued, and certifications in AI or machine learning can be beneficial. Key soft skills include problem-solving, teamwork, and effective communication to collaborate with cross-functional teams and present technical results clearly. These skills are crucial for building robust machine learning models, ensuring reproducibility, and driving innovation in fast-paced, data-driven environments.

What kinds of projects or tasks can a PyTorch developer expect to work on in a typical role?

As a PyTorch developer, you will likely work on developing, refining, and deploying deep learning models for tasks such as image recognition, natural language processing, or recommendation systems, depending on your company's focus. Your responsibilities may include data preprocessing, model architecture design, experimentation, performance tuning, and collaborating with data scientists and software engineers to integrate models into production systems. You might also be called upon to conduct research or prototype new algorithms, keeping up with the latest advancements in the AI field. Projects can vary from quick proofs of concept to large-scale deployments, offering diverse opportunities to grow your technical and collaborative skills.
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Pytorch jobs near you

Senior Robotics Data Engineer - Only W2

Saransh Inc

Warren, MI • On-site

$99.60K - $135.20K/yr

Contractor

Posted 20 days ago

Job description

Role: Senior Robotics Data Engineer
Location: Warren, MI (Onsite from Day 1)
Job Type: W2 Contract
 
Main Skills: 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 robotic datasets (vision, depth, tactile, force/torque).
· Build infrastructure for high-throughput data capture from real robots and simulation environments.
· Develop and deploy semi-supervised/self-supervised data labeling workflows to minimize manual annotation costs.
· Enable simulation-to-real (Sim2Real) data workflows, including domain randomization and synthetic data generation.
· Manage data versioning, metadata, and dataset governance to support model training, evaluation, and regression testing.
· Collaborate with Robotics Perception, Grasping AI, and Simulation teams to define data requirements and KPIs.
· Establish data quality metrics that correlate with perception and grasping performance.
 
Required Qualifications:
· Minimum 3 years of experience in data engineering, machine learning systems, robotics, or related fields.
· Master’s degree in Engineering, Computer Science, Data Science, or equivalent practical experience.
· Proven experience building production-grade data pipelines for ML/AI systems.
· Strong hands-on experience with Python-based data tooling.
· Experience working with large, complex, multimodal datasets.
 
Preferred Qualifications:
· Direct experience supporting robotics perception, grasping, or manipulation AI.
· Familiarity with robotics simulation platforms (e.g., Isaac Sim) and synthetic data generation.
· Experience with data labeling tools and annotation workflows at scale.
· Hands-on knowledge of TensorFlow and/or PyTorch from a data systems perspective.
· Experience with Microsoft data ecosystems (Power BI, Azure data services).