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Pytorch Developer Jobs in Davison, MI (NOW HIRING)

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

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

Data/BI Architect

Oakland, MI · On-site

$59.25 - $76.25/hr

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

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 ...

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Pytorch Developer information

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 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 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 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 cities near Davison, MI are hiring for Pytorch Developer jobs? Cities near Davison, MI with the most Pytorch Developer job openings:

Senior Machine Learning Engineer (Computer Vision & AI)

Faurecia

Auburn Hills, MI

$115K - $152K/yr

Other

Posted 6 days ago


Faurecia rating

5.9

Company rating: 5.9 out of 10

Based on 18 frontline employees who took The Breakroom Quiz


Job description

Forvia, a sustainable mobility technology leader We pioneer technology for mobility experience that matter to people. Your mission, roles and responsibilities Role Summary As a Senior Machine Learning Engineer, you will play a key role in developing and deploying advanced AI solutions that drive innovation across our automotive products and manufacturing processes. This role is focused on applied machine learning, with an emphasis on computer vision, predictive analytics, and scalable model deployment.

You will partner with cross-functional teams across engineering, manufacturing, and R&D to design, build, and productionize machine learning models that deliver measurable business impact. This is a hands-on role requiring strong technical depth, ownership of model lifecycle, and the ability to operate effectively in a fast-paced, evolving environment. Key Responsibilities Design, develop, and deploy machine learning models with a focus on computer vision, predictive maintenance, and anomaly detection Build and maintain end-to-end ML pipelines, including data preprocessing, model training, evaluation, and deployment Collaborate with engineering, manufacturing, and business stakeholders to translate real-world problems into scalable AI solutions Optimize model performance and scalability using GPU acceleration and parallel computing frameworks Leverage Python and deep learning frameworks (PyTorch, TensorFlow) to implement production-ready solutions Partner with data and software engineering teams to integrate models into production systems and workflows Contribute to AI innovation initiatives, including exploration of generative AI use cases in design and engineering contexts Ensure best practices in model reproducibility, documentation, and performance monitoring Stay current with advancements in machine learning and apply relevant techniques to improve existing capabilities Your profile and competencies to succeed Your Profile & Competencies Master's or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field 5+ years (preferably 7+) of hands-on experience in machine learning or applied AI roles Strong expertise in machine learning and deep learning, with practical experience in computer vision applications Proficiency in Python and modern ML frameworks such as PyTorch or TensorFlow Experience building and deploying models in production environments Familiarity with GPU acceleration (CUDA or similar frameworks) and performance optimization techniques Experience with ML pipelines, model lifecycle management, and scalable system design Ability to work effectively in matrixed, cross-functional environments Strong problem-solving and analytical skills, with the ability to translate complex data into actionable insights Effective communicator, able to explain technical concepts to non-technical stakeholders Experience in automotive, manufacturing, or industrial environments is a strong plus Familiarity with cloud platforms (e.g., Azure) and Agile development practices is preferred What we can do for you At Forvia, you will find an engaging and dynamic environment where you can contribute to the development of sustainable mobility leading technologies

We are the seventh-largest global automotive supplier, employing more than 157,000 people in more than 40 countries which makes a lot of opportunity for career development. We welcome energetic and agile people who can thrive in a fast-changing environment. People who share our strong values.

Team players with a collaborative mindset and a passion to deliver high standards for our clients. Lifelong learners. High performers.

Globally minded people who aspire to work in a transforming industry, where excellence, speed, and quality count. We cultivate a learning environment, dedicating tools and resources to ensure we remain at the forefront of mobility. Our people enjoy an average of more than 22 hours of online and in-person training within FORVIA University (five campuses around the world) We offer a multicultural environment that values diversity and international collaboration.

We believe that diversity is a strength. To create an inclusive culture where all forms of diversity create real value for the company, we have adopted gender diversity targets and inclusion action plans. Achieving CO2 Net Zero as a pioneer of the automotive industry is a priority: In June 2022, Forvia became the first global automotive group to be certified with the new SBTI Net-Zero Standard (the most ambitious standard of SBTi), aligned with the ambition of the 2015 Paris Agreement of limiting global warming to 1.5C

Three principles guide our action:use less, use betteranduse longer, with a focus on recyclability and circular economy. Why join us FORVIA is an automotive technology group at the heart of smarter and more sustainable mobility. We bring together expertise in electronics, clean mobility, lighting, interiors, seating, and lifecycle solutions to drive change in the automotive industry.

With a history stretching back more than a century, we are the 7th largest global automotive supplier, employing more than 157,000 people in 43 countries. You'll find our technology in around 1 out of 2 vehicles produced anywhere in the world. In June 2022, we became the 1st global automotive group to be certified with the SBTI Net-Zero Standard.

We have committed to reach CO2 Net Zero by no later than 2045. As technological innovation and the need for sustainability transform the automotive industry, we are ideally positioned to deliver solutions that will enhance the lives of road-users everywhere.


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