Experience with Databricks, Apache Spark, Snowflake, TensorFlow, PyTorch, or scikit-learn ... Engineering, Mathematics, or Statistics * 4+ years of experience delivering analytics, machine ...
Experience with Databricks, Apache Spark, Snowflake, TensorFlow, PyTorch, or scikit-learn ... Engineering, Mathematics, or Statistics * 4+ years of experience delivering analytics, machine ...
Senior Staff Product Manager - Splunk AI Foundations (Remote, USA)
Salt Lake City, UT · On-site +1
$191.40K - $281.40K/yr
Our team is a diverse group of experts and engineers who thrive in a fast-paced, collaborative ... lifecycle (e.g.,PyTorch, Hugging Face,LangChain,LlamaIndex ) . * Knowledge ...
Senior Staff Product Manager - Splunk AI Foundations (Remote, USA)
Salt Lake City, UT · On-site +1
$191.40K - $281.40K/yr
Our team is a diverse group of experts and engineers who thrive in a fast-paced, collaborative ... lifecycle (e.g.,PyTorch, Hugging Face,LangChain,LlamaIndex ) . * Knowledge ...
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?
| Aspect | Pytorch Developer | Machine Learning Engineer |
|---|---|---|
| Required Credentials | Bachelor's or higher in CS, experience with PyTorch | Bachelor's or higher in CS, data science, or related field, with ML experience |
| Work Environment | Research labs, AI startups, tech companies focusing on deep learning | Tech companies, finance, healthcare, often involving deployment and scaling ML models |
| Industry Usage | Primarily in AI research and development teams | Across 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 Farmington, UT are hiring for Pytorch Developer jobs? Cities near Farmington, UT with the most Pytorch Developer job openings:
$112.70K/yr
Other
Posted 10 days ago
Deloitte rating
8.1
Based on 86 frontline employees who took The Breakroom Quiz
59th of 138 rated financial services
Job description
In an increasingly challenging environment marked by disruptive tech like AI, market uncertainty, and regulatory change, finance and global business services leaders recognize the opportunity to better serve the enterprise, shareholders, customers, and regulators.
Deloitte helps navigate this complexity by bringing deep industry insights and integrated solutions to achieve business objectives. From strategy to technology to operations, and across workforce, risk, assurance, and tax, Deloitte helps drive value along the Finance Transformation journey.
Recruiting for this role ends on 09/14/2026.
Work you'll do
As a Finance Analytics & AI Senior Consultant, you'll work with the best in the business to solve the toughest client problems. From learning to leadership, this is your chance to take your career to the next level. Our Senior Consultants are expected to contribute to the firm's growth and development in a variety of ways.
- Support the design and delivery of finance transformation solutions that use data, automation, machine learning, and generative and agentic AI capabilities
- Architect generative and agentic AI solutions across infrastructure, model, and application layers for finance use cases such as planning, budgeting, forecasting, profitability, close, and consolidations
- Analyze business, functional, and technical requirements and translate them into solution designs, workflows, and implementation plans
- Develop and support data, analytics, and AI assets using Python, Structured Query Language (SQL), and cloud-based platforms
- Contribute to client workshops, solution demos, testing, deployment activities, and stakeholder communications
- Identify delivery risks, track dependencies, and support project execution across cross-functional teams
A successful candidate would possess these skills:
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to provide clear guidance to others
The team
Deloitte's Finance Transformation offering helps finance and global business services leaders navigate an increasingly challenging environment marked by disruptive tech like AI, market uncertainty, and regulatory change, and recognize the opportunity to better serve the enterprise, shareholders, customers, and regulators.
Within our Finance Transformation offering, the Business Finance team helps unlock strategic value through enhanced financial planning, forecasting, and analytics capabilities. By combining next-generation processes, scalable data platforms, and AI, we deliver insights that are accurate, timely, and actionable.
Qualifications
Required:
- Bachelor's degree in Computer Science, Data Science, Information Systems, Finance, Accounting, Engineering, Mathematics, or Statistics
- 4+ years of experience delivering analytics, machine learning, automation, data, or generative and agentic AI solutions
- Experience using Python and Structured Query Language (SQL) to develop analytics, machine learning, data engineering, or automation solutions in Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure environments
- Experience architecting generative and agentic AI solutions across infrastructure, model, and application layers, including one or more of the following infrastructure platforms: NVIDIA, Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure; one or more of the following model platforms: GPT-4o, Claude, or Llama; and one or more of the following application platforms: ChatGPT, Claude, or Gemini
- Experience working with finance data and use cases related to planning, budgeting, forecasting, close, profitability, or cost allocations
- Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
- Limited immigration sponsorship may be available.
Preferred:
- Master's degree in Computer Science, Data Science, Analytics, Finance, Mathematics, or Statistics
- Experience deploying machine learning or generative and agentic AI solutions into production environments
- Experience with Databricks, Apache Spark, Snowflake, TensorFlow, PyTorch, or scikit-learn
- Experience with finance platforms such as SAP, Oracle, Anaplan, OneStream, or Workday
- Experience with Tableau or Microsoft Power BI
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 $116,200-$229,100.
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:In an increasingly challenging environment marked by disruptive tech like AI, market uncertainty, and regulatory change, finance and global business services leaders recognize the opportunity to better serve the enterprise, shareholders, customers, and regulators.
Deloitte helps navigate this complexity by bringing deep industry insights and integrated solutions to achieve business objectives. From strategy to technology to operations, and across workforce, risk, assurance, and tax, Deloitte helps drive value along the Finance Transformation journey.
Recruiting for this role ends on 09/14/2026.
Work you'll do
As a Finance Analytics & AI Senior Consultant, you'll work with the best in the business to solve the toughest client problems. From learning to leadership, this is your chance to take your career to the next level. Our Senior Consultants are expected to contribute to the firm's growth and development in a variety of ways.
- Support the design and delivery of finance transformation solutions that use data, automation, machine learning, and generative and agentic AI capabilities
- Architect generative and agentic AI solutions across infrastructure, model, and application layers for finance use cases such as planning, budgeting, forecasting, profitability, close, and consolidations
- Analyze business, functional, and technical requirements and translate them into solution designs, workflows, and implementation plans
- Develop and support data, analytics, and AI assets using Python, Structured Query Language (SQL), and cloud-based platforms
- Contribute to client workshops, solution demos, testing, deployment activities, and stakeholder communications
- Identify delivery risks, track dependencies, and support project execution across cross-functional teams
A successful candidate would possess these skills:
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to provide clear guidance to others
The team
Deloitte's Finance Transformation offering helps finance and global business services leaders navigate an increasingly challenging environment marked by disruptive tech like AI, market uncertainty, and regulatory change, and recognize the opportunity to better serve the enterprise, shareholders, customers, and regulators.
Within our Finance Transformation offering, the Business Finance team helps unlock strategic value through enhanced financial planning, forecasting, and analytics capabilities. By combining next-generation processes, scalable data platforms, and AI, we deliver insights that are accurate, timely, and actionable.
Qualifications
Required:
- Bachelor's degree in Computer Science, Data Science, Information Systems, Finance, Accounting, Engineering, Mathematics, or Statistics
- 4+ years of experience delivering analytics, machine learning, automation, data, or generative and agentic AI solutions
- Experience using Python and Structured Query Language (SQL) to develop analytics, machine learning, data engineering, or automation solutions in Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure environments
- Experience architecting generative and agentic AI solutions across infrastructure, model, and application layers, including one or more of the following infrastructure platforms: NVIDIA, Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure; one or more of the following model platforms: GPT-4o, Claude, or Llama; and one or more of the following application platforms: ChatGPT, Claude, or Gemini
- Experience working with finance data and use cases related to planning, budgeting, forecasting, close, profitability, or cost allocations
- Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
- Limited immigration sponsorship may be available.
Preferred:
- Master's degree in Computer Science, Data Science, Analytics, Finance, Mathematics, or Statistics
- Experience deploying machine learning or generative and agentic AI solutions into production environments
- Experience with Databricks, Apache Spark, Snowflake, TensorFlow, PyTorch, or scikit-learn
- Experience with finance platforms such as SAP, Oracle, Anaplan, OneStream, or Workday
- Experience with Tableau or Microsoft Power BI
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 $116,200-$229,100.
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: