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Pytorch Developer Jobs in Tennessee (NOW HIRING)

3B Staffing LLC

AI Engineer

Memphis, TN · On-site

... TensorFlow, PyTorch, or LangChain * Experience with prompt engineering, retrieval-augmented ... Solid understanding of DevOps practices, CI/CD pipelines, and version control systems * Familiarity ...

QSource Group Inc.

AI/ML Engineer

Winchester, TN

AI/ML Engineer Experience: 6+ Years Location: Franklin, TN - Onsite We are looking for an ... Strong experience in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn * Hands-on ...

FOCUSPOINT

AI Engineer

Nashville, TN · On-site

AI Engineer Location: Varies by client Employment Type: Contract Pay: Commensurate with experience ... Proficiency in Python (PyTorch, TensorFlow, HuggingFace), and familiarity with MLOps frameworks ...

TheIncLab

Senior Machine Learning Engineer

Nashville, TN · On-site

$100.90K - $138.60K/yr

Design and implement machine learning models using frameworks such as PyTorch, TensorFlow, or ... Feature engineering and preprocessing * Data augmentation strategies for training robustness

TheIncLab

Senior Machine Learning Engineer

Nashville, TN · On-site

$100.90K - $138.60K/yr

Design and implement machine learning models using frameworks such as PyTorch, TensorFlow, or ... Feature engineering and preprocessing * Data augmentation strategies for training robustness

TheIncLab

Senior Machine Learning Engineer

Nashville, TN · On-site

$100.90K - $138.60K/yr

Design and implement machine learning models using frameworks such as PyTorch, TensorFlow, or ... Feature engineering and preprocessing * Data augmentation strategies for training robustness

Inovalon

Senior Machine Learning Engineer

Nashville, TN · On-site

$118.30K - $156K/yr

... PyTorch for appropriate use cases alongside scikit-learn-based classical approaches. • Write robust, production-ready code following engineering best practices; participate in code and design ...

Chemours

Senior Full-Stack AI Developer

Nashville, TN · On-site +1

Chemours is seeking a Senior Full-Stack AI Developer to join our growing AI & Data Science team ... Experience with PyTorch, including training and fine-tuning pre-trained models, and iterating on ...

SynergisticIT

Machine Learning Engineer

Nashville, TN · On-site

Machine Learning And Artificial Intelligence Developer You will be responsible for Machine Learning ... PyTorch. * Design Client and Deep AI Models for different types of data (time-series, sales ...

Palnar

AI/ML Architect

Nashville, TN · On-site

$61.50 - $79.25/hr

... as TensorFlow, PyTorch, or scikit-learn. * Experience with designing and implementing end-to-end machine learning pipelines. * Proficiency in data processing, feature engineering, and model ...

Inovalon

Senior Machine Learning Engineer

Nashville, TN · On-site

$118.30K - $156K/yr

Apply neural networks and deep learning techniques using PyTorch for appropriate use cases ... Mentor junior engineers and contribute to team knowledge-sharing around ML best practices, tooling ...

PALNAR

AI/ML Architect

Nashville, TN · On-site

$61.50 - $79.25/hr

... as TensorFlow, PyTorch, or scikit-learn. * Experience with designing and implementing end-to-end machine learning pipelines. * Proficiency in data processing, feature engineering, and model ...

DPR Construction

MLOps Engineer

Nashville, TN

Lead hands-on implementation of automation-first DevOps and MLOps practices, enabling ... PyTorch or Scikit-learn Required Skills * Experience with CI/CD processes and automation

RIT Solutions, Inc.

AI Implementation Architect

Germantown, TN · On-site +1

$74.50K - $99.60K/yr

LangChain, TensorFlow, PyTorch). * Experience with prompt flows, prompt engineering best practices, and AI patterns (ex. Retrieval Augmented Generation (RAG)) o Development and production deployment ...

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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 are popular job titles related to Pytorch Developer jobs in Tennessee? For Pytorch Developer jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Pytorch Developer jobs in Tennessee look for? The top searched job categories for Pytorch Developer jobs in Tennessee are:
What cities in Tennessee are hiring for Pytorch Developer jobs? Cities in Tennessee with the most Pytorch Developer job openings:
Pytorch Developer jobs near you

Gen AI Engineer- Systems Engineer

1 point system

Nashville, TN • On-site

Contractor

Posted 16 days ago

Job description

  • AI/ML Expertise: 8+ years of experience, with the last 2 years in GenAI technologies like OpenAI, Claude, Gemini, LangChain, Agents, Vector databases, Prompt Engineering, and fine-tuning.
  • Programming Languages & Libraries: Proficiency in Python, R, TensorFlow, PyTorch, Keras, Julia, and various ML libraries, along with NLP capabilities.
  • Web & Software Development: Skilled in Angular, React, NodeJS, Python, Streamlit, C#, .NET Core, Golang, SQL/NoSQL.
  • Cloud-Native Engineering: Experience with FaaS/PaaS/micro-services on cloud platforms like Azure, AWS, and GCP.
  • Methodologies & Tools: Strong understanding of XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube, and other tools for rapid, quality product delivery.