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Pytorch Developer Jobs in Tennessee (NOW HIRING)

Elevance Health

Gen AI Engineer

Nashville, TN · Hybrid

Gen AI Engineer Location: This role requires associates to be in-office 1 - 2 days per week ... TensorFlow, Keras, PyTorch, and Spark. * Experience with GCP/AWS cloud platforms. * Strong ...

Accenture

Knowledge Engineer Specialist

Nashville, TN · On-site

$70K - $205K/yr

... PyTorch, and tools for building ETL pipelines (e.g. Apache NiFi, Airflow) * Practical experience with NLP and/or Search techniques * Prompt engineering, and LLMs for enterprise-scale applications.

Accenture

Knowledge Engineer Specialist

Morristown, TN · On-site

$70K - $205K/yr

... PyTorch, and tools for building ETL pipelines (e.g. Apache NiFi, Airflow) * Practical experience with NLP and/or Search techniques * Prompt engineering, and LLMs for enterprise-scale applications.

BravoTech

AI Architect

Nashville, TN · On-site

Oversee Retrieval-Augmented Generation (RAG) architectures, vector search, prompt engineering ... Extensive experience with PyTorch, TensorFlow, and Keras. * Expertise in designing RESTful APIs ...

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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.
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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:
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Pytorch Developer jobs near you
Cyber Forward Deployed Engineer - Consultant

Cyber Forward Deployed Engineer - Consultant

Deloitte

Nashville, TN • On-site

Other

Posted 21 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services

Job description

Deloitte Cyber understands the unique challenges and opportunities businesses face in cybersecurity. Deloitte's Cyber team helps our clients navigate the ever-changing threat landscape. We simplify complexity, and enable businesses to operate with resilience, grow with confidence, and proactively manage their security posture.

Recruiting for this role ends on 12/31/2026.

Work you'll do

1.       Solution Delivery & Engineering (Primary Focus)

Translate business and cybersecurity needs into high-quality technical solutions (including AI/GenAI-enabled capabilities where applicable), and deploy them for clients in alignment with their requirements and architecture

Identify, troubleshoot, and resolve technical issues within scope

2.       Pre-Sales & Deal Shaping

Partner with stakeholders to help shape technical solutions during pursuits, including leading demos/POCs/prototypes

Contribute to solution design, ensuring alignment between client needs and delivery feasibility.

3.       Product Feedback & Continuous Improvement

Capture and translate delivery learnings into actionable product or platform improvements, distinguishing reusable enhancements from client-specific needs.

Enable client teams through structured knowledge transfer, clear documentation, and practical runbooks.

The team

Deloitte's Cyber Engineering is a new team that is spearheading the buildout of Cybersecurity technology that will underpin the next generation of our Cybersecurity services. Join us as we work with technologies shaping the future of Cybersecurity to build future capabilities today.

Qualifications

Required:

  • 3+ years of experience in full stack software engineering, application development, or software product delivery
  • Bachelor's degree in Computer Science, Computer Engineering, Information Systems, or a technical field
  • Strong proficiency in JavaScript/TypeScript, HTML5, CSS3, and modern frameworks (React, Angular, or Next.js).
  • 3+ years' experience in Node.js, Python (Django/Flask), or Java (Spring Boot).
  • 3+ years' Experience with relational (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Redis).
  • 3+ years' Experience building and integrating REST APIs, microservices, and serverless architectures.
  • 3+ years' Experience deploying applications on AWS, Azure, or GCP.
  • Familiarity with Docker, CI/CD pipelines, and development lifecycle tools (e.g., Git, Azure DevOps).
  • 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
  • 1+ years of experience with one of the following Frontier Gen AI Platforms: Anthropic, Google or Open AI, including hands on experience with one of the following key platforms/products; Claude API, Claude for Enterprise, Claude Code, Gemini API, Vertex AI Agent Builder, Grounding, Google Workspace integration, GPT-4o, Assistants API, Responses API, OpenAI Agents SDK
  • AI system architectures and ability to align application pipelines to support them.
  • 1+ year of Client-Facing & Delivery experience
  • 1+ year experience working directly with business stakeholders to translate requirements into technical solutions.
  • Ability to travel 20%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Familiarity with cybersecurity concepts (e.g., application security, cloud security, identity, detection engineering).
  • Experience with DevSecOps practices and secure software development lifecycle.
  • Exposure to search/analytics platforms (Elasticsearch/OpenSearch) or graph databases (Neo4j).
  • Knowledge of Kubernetes, GitOps, or advanced cloud-native patterns.
  • Cloud certifications (AWS, Azure, GCP).
  • Basic familiarity with ML frameworks (TensorFlow, PyTorch).

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $100,400 to $197,900.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Deloitte Cyber understands the unique challenges and opportunities businesses face in cybersecurity. Deloitte's Cyber team helps our clients navigate the ever-changing threat landscape. We simplify complexity, and enable businesses to operate with resilience, grow with confidence, and proactively manage their security posture.

Recruiting for this role ends on 12/31/2026.

Work you'll do

1.       Solution Delivery & Engineering (Primary Focus)

Translate business and cybersecurity needs into high-quality technical solutions (including AI/GenAI-enabled capabilities where applicable), and deploy them for clients in alignment with their requirements and architecture

Identify, troubleshoot, and resolve technical issues within scope

2.       Pre-Sales & Deal Shaping

Partner with stakeholders to help shape technical solutions during pursuits, including leading demos/POCs/prototypes

Contribute to solution design, ensuring alignment between client needs and delivery feasibility.

3.       Product Feedback & Continuous Improvement

Capture and translate delivery learnings into actionable product or platform improvements, distinguishing reusable enhancements from client-specific needs.

Enable client teams through structured knowledge transfer, clear documentation, and practical runbooks.

The team

Deloitte's Cyber Engineering is a new team that is spearheading the buildout of Cybersecurity technology that will underpin the next generation of our Cybersecurity services. Join us as we work with technologies shaping the future of Cybersecurity to build future capabilities today.

Qualifications

Required:

  • 3+ years of experience in full stack software engineering, application development, or software product delivery
  • Bachelor's degree in Computer Science, Computer Engineering, Information Systems, or a technical field
  • Strong proficiency in JavaScript/TypeScript, HTML5, CSS3, and modern frameworks (React, Angular, or Next.js).
  • 3+ years' experience in Node.js, Python (Django/Flask), or Java (Spring Boot).
  • 3+ years' Experience with relational (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Redis).
  • 3+ years' Experience building and integrating REST APIs, microservices, and serverless architectures.
  • 3+ years' Experience deploying applications on AWS, Azure, or GCP.
  • Familiarity with Docker, CI/CD pipelines, and development lifecycle tools (e.g., Git, Azure DevOps).
  • 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
  • 1+ years of experience with one of the following Frontier Gen AI Platforms: Anthropic, Google or Open AI, including hands on experience with one of the following key platforms/products; Claude API, Claude for Enterprise, Claude Code, Gemini API, Vertex AI Agent Builder, Grounding, Google Workspace integration, GPT-4o, Assistants API, Responses API, OpenAI Agents SDK
  • AI system architectures and ability to align application pipelines to support them.
  • 1+ year of Client-Facing & Delivery experience
  • 1+ year experience working directly with business stakeholders to translate requirements into technical solutions.
  • Ability to travel 20%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Familiarity with cybersecurity concepts (e.g., application security, cloud security, identity, detection engineering).
  • Experience with DevSecOps practices and secure software development lifecycle.
  • Exposure to search/analytics platforms (Elasticsearch/OpenSearch) or graph databases (Neo4j).
  • Knowledge of Kubernetes, GitOps, or advanced cloud-native patterns.
  • Cloud certifications (AWS, Azure, GCP).
  • Basic familiarity with ML frameworks (TensorFlow, PyTorch).

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $100,400 to $197,900.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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