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Pytorch Developer Jobs in Davison, MI (NOW HIRING)

Lead Developer (Python)

Auburn Hills, MI · On-site

$132.50K - $162.80K/yr

... TensorFlow, PyTorch, Scikit-learn). • Experience with MLOps tools (Python, MLflow, Airflow ... engineering tools (Spark, Kafka, Databricks, Snowflake). • Contributions to open-source AI ...

Lead Developer (Python)

Auburn Hills, MI · On-site

$132.50K - $162.80K/yr

... TensorFlow, PyTorch, Scikit-learn). • Experience with MLOps tools (Python, MLflow, Airflow ... engineering tools (Spark, Kafka, Databricks, Snowflake). • Contributions to open-source AI ...

Lead Developer (Python)

Auburn Hills, MI · On-site

$132.50K - $162.80K/yr

Hands-on experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn). * Experience with MLOps tools (Python, MLflow, Airflow, SageMaker, Vertex AI). * Knowledge of data engineering tools (Spark ...

... PyTorch, scikit-learn). - 3 years of experience with programming languages commonly used in AI/ML development, such as Python, and supporting languages (e.g., SQL, Java, C++). - 3 years demonstrated ...

... PyTorch, scikit-learn). - 3 years of experience with programming languages commonly used in AI/ML development, such as Python, and supporting languages (e.g., SQL, Java, C++). - 3 years demonstrated ...

DAX programming language) * Deep learning frameworks (Pytorch, Tensorflow, ...) * Ability to communicate and summarize technical topics for non-technical audience (incl. leadership)

... programming language and deep learning frameworks such as PyTorch and TensorFlow to implement machine learning solutions. • Apply statistical techniques and machine learning algorithms to solve ...

Utilize Python programming language and deep learning frameworks such as PyTorch and TensorFlow to implement machine learning solutions. Apply statistical techniques and machine learning algorithms ...

Data / BI Architect

Pontiac, MI · On-site

$63.25 - $81.50/hr

... Programming for data visualizations, Python, TensorFlow, PyTorch, Keras, Scikit-learn, Apache Spark, Databricks, Jupyter Notebooks, AWS (SageMaker, EC2, S3), Azure (Machine Learning Studio ...

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 ...

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 ...

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 ...

Sr. R&D Firmware Engineer

Auburn Hills, MI · On-site

$113.10K - $149.50K/yr

The Firmware Engineer role in Innovation Engineering (R&D) focuses on the early-stage embedded ... PyTorch, YOLO, and Roboflow) * Familiarity with cloud platforms (AWS, Azure) and database querying ...

Sr. R&D Firmware Engineer

Auburn Hills, MI

$113.10K - $149.50K/yr

The Firmware Engineer role in Innovation Engineering (R&D) focuses on the early-stage embedded ... PyTorch, YOLO, and Roboflow) * Familiarity with cloud platforms (AWS, Azure) and database querying ...

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Pytorch Developer information

What are the key skills and qualifications needed to thrive as a Pytorch Developer, and why are they important?

To thrive as a Pytorch Developer, you need strong programming skills in Python, a solid grasp of machine learning concepts, and experience with deep learning frameworks—especially PyTorch itself. Familiarity with tools like CUDA, Jupyter Notebooks, and version control systems (e.g., Git) is typically expected, along with knowledge of cloud platforms or relevant certifications. Problem-solving ability, effective collaboration, and clear communication are crucial soft skills for success in this role. These skills and qualities are vital for efficiently building, optimizing, and deploying machine learning models in real-world applications.

What are some common challenges Pytorch Developers face when deploying machine learning models to production environments?

Pytorch Developers often encounter challenges when transitioning models from research to production, such as optimizing model performance for inference speed and memory usage, ensuring compatibility with deployment frameworks like TorchScript or ONNX, and managing dependencies across different systems. Additionally, integrating PyTorch models into existing software stacks and maintaining reproducibility can be complex. Collaborating closely with DevOps and data engineering teams is crucial to address these issues and ensure smooth deployment.

What is a PyTorch Developer?

A PyTorch Developer is a software engineer or data scientist who specializes in using PyTorch, an open-source machine learning library, to build and deploy deep learning models. Their responsibilities typically include designing neural network architectures, training and evaluating models, and optimizing code for performance. PyTorch Developers work in fields such as artificial intelligence, computer vision, and natural language processing, collaborating with teams to solve complex problems using machine learning. They are proficient in Python and have a strong understanding of deep learning concepts. Additionally, they often contribute to research, development, and the deployment of AI solutions in production environments.

What is the difference between Pytorch Developer vs Machine Learning Engineer?

AspectPytorch DeveloperMachine Learning Engineer
Required CredentialsBachelor's or higher in CS, experience with PyTorchBachelor's or higher in CS, data science, or related field, with ML experience
Work EnvironmentResearch labs, AI startups, tech companies focusing on deep learningTech companies, finance, healthcare, often involving deployment and scaling ML models
Industry UsagePrimarily in AI research and development teamsAcross industries implementing ML solutions in production

While both roles require knowledge of machine learning and experience with PyTorch, a Pytorch Developer mainly focuses on developing and optimizing deep learning models using PyTorch. A Machine Learning Engineer often has a broader scope, including deploying, maintaining, and scaling ML models across various platforms and industries.

What cities near Davison, MI are hiring for Pytorch Developer jobs? Cities near Davison, MI with the most Pytorch Developer job openings:
Lead Developer (Python)

Lead Developer (Python)

Stellantis

Auburn Hills, MI • On-site

$132.50K - $162.80K/yr

Full-time

Posted 3 days ago


Stellantis rating

7.4

Company rating: 7.4 out of 10

Based on 122 frontline employees who took The Breakroom Quiz

17th of 44 rated automakers


Job description

Job Summary:
Stellantis is seeking a highly skilled and hands-on Technical Development Lead to drive the development and deployment of intelligent systems across cloud and full-stack environments. This role combines leadership, architecture, and development responsibilities, requiring cloud infrastructure and full-stack engineering to deliver scalable solutions for vehicle engineering and testing.
Responsibilities:
• Design and maintain IT architecture supporting vehicle testing systems, including data acquisition, test automation, telemetry, and analytics platforms.
• Collaborate with engineers, IT teams, and operations to align technology solutions with testing requirements and regulatory standards.
• Lead the design, development, and deployment of AI/ML models and systems across cloud platforms (AWS, Azure, GCP).
• Architect and implement full-stack solutions integrating AI models with front-end and back-end components.
• Deploy the cloud environments and components needed for new AI projects.
• Collaborate with data scientists, software engineers, and product managers to translate business requirements into technical solutions.
• Build and maintain scalable ML pipelines using MLOps tools and practices.
• Develop APIs and microservices to serve models and enable real-time inference.
• Ensure high performance, reliability, and security of AI applications in production.
• Mentor junior engineers and foster a culture of innovation and technical excellence.
• Stay current with emerging AI technologies and industry trends.
Qualifications:
Required:
• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• 7+ years of experience in software development
• Strong programming skills in Python and JavaScript (React, Node.js).
• Proven experience with cloud platforms (AWS, Azure, or GCP).
• Experience building and deploying full-stack applications.
• Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines.
• Excellent communication and leadership skills.
Preferred:
• Minimum 3 years in AI/ML.
• Hands-on experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Experience with MLOps tools (Python, MLflow, Airflow, SageMaker, Vertex AI).
• Knowledge of data engineering tools (Spark, Kafka, Databricks, Snowflake).
• Contributions to open-source AI projects or publications.
• Certifications in cloud or AI technologies.
Company:
Stellantis is an Franco-Italian-American automotive holding company that manufactures automobiles. Founded in 2021, the company is headquartered in Hoofddorp, NLD, with a team of 10001+ employees. The company is currently Late Stage.

What Stellantis employees say

Pay

Benefits

Hours and flexibility

Workplace

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