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Pytorch Developer Jobs in Kentucky (NOW HIRING)

As a Data Anchor and AI/ML Engineer, you will be at the intersection of the digital and physical ... Exposure to machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and predictive ...

New

... programming languages for data analysis. * Proficiency with data manipulation tools (e.g., SQL, Pandas, Spark) and machine learning libraries (e.g., scikit-learn, PyTorch, TensorFlow, etc.). * Strong ...

... DevOps teams * Proficiency in SQL, Python, PySpark, and data analysis/data mining tools * Experience with machine learning frameworks like Scikit-Learn, Tensorflow, or Pytorch * Experience with high ...

... DevOps teams * Proficiency in SQL, Python, PySpark, and data analysis/data mining tools * Experience with machine learning frameworks like Scikit-Learn, Tensorflow, or Pytorch * Experience with high ...

... DevOps teams * Proficiency in SQL, Python, PySpark, and data analysis/data mining tools * Experience with machine learning frameworks like Scikit-Learn, Tensorflow, or Pytorch * Experience with high ...

... DevOps teams * Proficiency in SQL, Python, PySpark, and data analysis/data mining tools * Experience with machine learning frameworks like Scikit-Learn, Tensorflow, or Pytorch * Experience with high ...

Showing results 21-40

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 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 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 cities in Kentucky are hiring for Pytorch Developer jobs?

Cities in Kentucky with the most Pytorch Developer job openings:

Infographic showing various Pytorch Developer job openings in Kentucky as of August 2026, with employment types broken down into 79% Full Time, 3% Part Time, and 18% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution.

Cyber Full-Stack Technical Software Engineer

Deloitte

Louisville, KY • On-site

Full-time

Re-posted 7 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

46th of 152 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.

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.

Position Summary

You will be responsible for individually delivering high quality products within due timelines. Need-basis you will be mentoring and/or directing junior team members/liaising with onsite/offshore teams to understand the functional requirements. 

Work you will do:

  • Working closely with business, solution engineers, team members and leadership to understand business requirements and deliver high quality technical solutions
  • Analyzing, implementing user requirements/business needs as new and/or enhanced product functionality
  • Identifying key drivers of a problem and proposes technical solutions using analysis, experience, and decision making
  • Developing solutions to client problems through application of methods and tools; validating solutions to SMEs
  • Understanding the benefits of using state of the art methods and tools and their application on a particular engagement contributes to continuous development of methods and tools
  • Demonstrating accountability and contributions to the successful realization of client goals

Required Qualifications

We require 3-5 years of experience for all skill areas below:

  • Hands-on experience in full stack software development across frontend and backend technologies.
  • Experience designing, developing, deploying, implementing, or supporting AI, Generative AI, or Agentic AI solutions and architectures in enterprise applications on AWS, Azure, or GCP.
  • Experience with object-oriented programming using languages such as Java, Python, or JavaScript/TypeScript.
  • Experience with frontend development using Angular, React, or Next.js, and with JavaScript, TypeScript, HTML5, and CSS3 in production environments.
  • Experience with at least one backend technology stack: Node.js, Python (Django or Flask), or Java (Spring Boot).
  • Experience building and consuming REST APIs and microservices.
  • Experience with relational databases such as MySQL, PostgreSQL, SQL Server, or Oracle, and with at least one NoSQL database such as MongoDB, Redis, Cassandra, or DynamoDB.
  • Experience using Git and development lifecycle tools such as Azure DevOps.
  • Experience with unit testing frameworks such as JUnit, Mockito, or equivalent, and with automated testing and CI/CD pipeline implementation.
  • Experience deploying applications, APIs, or analytics workloads to AWS, Azure, or GCP.
  • Experience working in Agile/Scrum delivery environments.
  • Cloud certification in AWS, Azure, or GCP
  • Bachelor's degree in computer science, Engineering, Information Technology, Data Science, Applied Mathematics, Physics, Statistics, or a related field.
  • Limited immigration sponsorship may be available

Preferred Qualifications

  • Experience with Docker, container-based application development, and serverless architectures.
  • Experience with secure development practices or cybersecurity-focused application development.
  • Hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments.
  • Experience with one of the following Frontier GenAI Platforms: Anthropic, Google or Open AI, including hands on experience with one of the following key platforms/products; Claude API, Claude for Enterprise, tool use, extended thinking, Claude Code, Gemini API, Vertex AI Agent Builder, Grounding, Google Workspace integration, GPT-4o, Assistants API, Responses API, OpenAI Agents SDK.
  • Experience contributing to project planning, estimation, or risk tracking.
  • Experience mentoring junior or mid-level developers, leading code reviews, and providing development feedback.
  • Experience partnering with product managers, designers, and business stakeholders to translate requirements into technical solutions.
  • Strong written and verbal communication skills in cross-functional team environments.
  • Cloud certification in AWS, Azure, or GCP.
  • Familiarity with OpenSearch or Elasticsearch.
  • Exposure to graph databases such as Neo4j or Memgraph.
  • Familiarity with build tools such as Maven or Gradle.
  • Experience with Bootstrap, jQuery, or JSP in legacy or mixed-technology environments.
  • Familiarity with DevOps or DevSecOps practices.
  • Knowledge of web security, GitOps, and Kubernetes customization.
  • Basic understanding of AI/ML frameworks such as TensorFlow or 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 $122,000 to $240,500.

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.


#CyberCtBEngg

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.

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.

Position Summary

You will be responsible for individually delivering high quality products within due timelines. Need-basis you will be mentoring and/or directing junior team members/liaising with onsite/offshore teams to understand the functional requirements. 

Work you will do:

  • Working closely with business, solution engineers, team members and leadership to understand business requirements and deliver high quality technical solutions
  • Analyzing, implementing user requirements/business needs as new and/or enhanced product functionality
  • Identifying key drivers of a problem and proposes technical solutions using analysis, experience, and decision making
  • Developing solutions to client problems through application of methods and tools; validating solutions to SMEs
  • Understanding the benefits of using state of the art methods and tools and their application on a particular engagement contributes to continuous development of methods and tools
  • Demonstrating accountability and contributions to the successful realization of client goals

Required Qualifications

We require 3-5 years of experience for all skill areas below:

  • Hands-on experience in full stack software development across frontend and backend technologies.
  • Experience designing, developing, deploying, implementing, or supporting AI, Generative AI, or Agentic AI solutions and architectures in enterprise applications on AWS, Azure, or GCP.
  • Experience with object-oriented programming using languages such as Java, Python, or JavaScript/TypeScript.
  • Experience with frontend development using Angular, React, or Next.js, and with JavaScript, TypeScript, HTML5, and CSS3 in production environments.
  • Experience with at least one backend technology stack: Node.js, Python (Django or Flask), or Java (Spring Boot).
  • Experience building and consuming REST APIs and microservices.
  • Experience with relational databases such as MySQL, PostgreSQL, SQL Server, or Oracle, and with at least one NoSQL database such as MongoDB, Redis, Cassandra, or DynamoDB.
  • Experience using Git and development lifecycle tools such as Azure DevOps.
  • Experience with unit testing frameworks such as JUnit, Mockito, or equivalent, and with automated testing and CI/CD pipeline implementation.
  • Experience deploying applications, APIs, or analytics workloads to AWS, Azure, or GCP.
  • Experience working in Agile/Scrum delivery environments.
  • Cloud certification in AWS, Azure, or GCP
  • Bachelor's degree in computer science, Engineering, Information Technology, Data Science, Applied Mathematics, Physics, Statistics, or a related field.
  • Limited immigration sponsorship may be available

Preferred Qualifications

  • Experience with Docker, container-based application development, and serverless architectures.
  • Experience with secure development practices or cybersecurity-focused application development.
  • Hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments.
  • Experience with one of the following Frontier GenAI Platforms: Anthropic, Google or Open AI, including hands on experience with one of the following key platforms/products; Claude API, Claude for Enterprise, tool use, extended thinking, Claude Code, Gemini API, Vertex AI Agent Builder, Grounding, Google Workspace integration, GPT-4o, Assistants API, Responses API, OpenAI Agents SDK.
  • Experience contributing to project planning, estimation, or risk tracking.
  • Experience mentoring junior or mid-level developers, leading code reviews, and providing development feedback.
  • Experience partnering with product managers, designers, and business stakeholders to translate requirements into technical solutions.
  • Strong written and verbal communication skills in cross-functional team environments.
  • Cloud certification in AWS, Azure, or GCP.
  • Familiarity with OpenSearch or Elasticsearch.
  • Exposure to graph databases such as Neo4j or Memgraph.
  • Familiarity with build tools such as Maven or Gradle.
  • Experience with Bootstrap, jQuery, or JSP in legacy or mixed-technology environments.
  • Familiarity with DevOps or DevSecOps practices.
  • Knowledge of web security, GitOps, and Kubernetes customization.
  • Basic understanding of AI/ML frameworks such as TensorFlow or 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 $122,000 to $240,500.

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.


#CyberCtBEngg

Education:Bachelor's DegreeEmployment Type:

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