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Tensorflow Pytorch Jobs in Arizona (NOW HIRING)

Deloitte

GenAI Data Scientist

Gilbert, AZ

This involves writing code using Python libraries like TensorFlow or PyTorch. The Team Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is ...

INTEL

Yield Development Engineer

Phoenix, AZ

$127.40K - $179.90K/yr

Familiarity of Python libraires for data science work (NumPy, Pandas, Scipy, Matplotlib, Scikit-learn, TensorFlow, PyTorch etc.) Preferred Qualifications: • Prior experience working in wafer level ...

Exyte GmbH

Experience with AR platforms (Unity, Unreal Engine, Vuforia, or HoloLens) and AI frameworks (TensorFlow, PyTorch, OpenCV). Familiarity with PLC, SCADA, OPC-UA, MQTT, and other industrial control/IoT ...

INTEL

Yield Development Engineer

Phoenix, AZ

$148.10K - $209.10K/yr

Familiarity of Python libraires for data science work (NumPy, Pandas, Scipy, Matplotlib, Scikit-learn, TensorFlow, PyTorch etc.) Preferred Qualifications: • Prior experience working in wafer level ...

Axon

Senior Machine Learning Scientist

Scottsdale, AZ

$92.20K - $125.90K/yr

Strong proficiency in programming languages such as Python, C/C++, experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras and experience with ROS or robotic operational system.

Maximus

AI/ML Software Developer

Chandler, AZ · Remote

... TensorFlow, PyTorch, scikit-learn). - 3 years of experience with programming languages commonly used in AI/ML development, such as Python, and supporting languages (e.g., SQL, Java, C++). - 3 years ...

Maximus

AI/ML Software Developer

Mesa, AZ · Remote

... TensorFlow, PyTorch, scikit-learn). - 3 years of experience with programming languages commonly used in AI/ML development, such as Python, and supporting languages (e.g., SQL, Java, C++). - 3 years ...

Maximus

AI/ML Software Developer

Scottsdale, AZ · Remote

... TensorFlow, PyTorch, scikit-learn). - 3 years of experience with programming languages commonly used in AI/ML development, such as Python, and supporting languages (e.g., SQL, Java, C++). - 3 years ...

Maximus

AI/ML Software Developer

Flagstaff, AZ · Remote

... TensorFlow, PyTorch, scikit-learn). - 3 years of experience with programming languages commonly used in AI/ML development, such as Python, and supporting languages (e.g., SQL, Java, C++). - 3 years ...

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Tensorflow Pytorch information

What are the key skills and qualifications needed to thrive as a Deep Learning Engineer specializing in TensorFlow and PyTorch, and why are they important?

To thrive as a Deep Learning Engineer with a focus on TensorFlow and PyTorch, you need a strong background in computer science, mathematics, and machine learning, typically supported by a relevant degree. Proficiency in programming languages like Python, experience with TensorFlow and PyTorch frameworks, and familiarity with cloud platforms or GPU computing are essential. Analytical thinking, problem-solving, and effective communication are standout soft skills for collaborating with teams and interpreting model results. These skills are crucial for developing, deploying, and optimizing AI models that drive innovation and solve complex real-world problems.

How do TensorFlow/PyTorch engineers typically collaborate with data scientists and other team members in a production environment?

TensorFlow and PyTorch engineers often work closely with data scientists to transform experimental machine learning models into efficient, scalable production solutions. Collaboration involves frequent code reviews, shared development environments, and regular meetings to align model requirements with deployment constraints. Engineers also coordinate with DevOps teams to ensure smooth integration and monitoring of models in production. Strong communication skills and a willingness to iterate on solutions are essential for bridging the gap between research and real-world application.

What are TensorFlow and PyTorch?

TensorFlow and PyTorch are two of the most popular open-source deep learning frameworks used by researchers and developers to build, train, and deploy machine learning models. TensorFlow, developed by Google, offers robust support for production environments and has a large ecosystem. PyTorch, developed by Facebook, is known for its flexibility, ease of use, and dynamic computational graph, making it popular in academia and research. Both frameworks support a wide range of neural network architectures and are used extensively for tasks such as computer vision, natural language processing, and reinforcement learning.

What is the difference between Tensorflow Pytorch vs Data Scientist?

AspectTensorflow PytorchData Scientist
Required SkillsDeep learning frameworks, Python, machine learningData analysis, statistical skills, Python/R, machine learning
Work EnvironmentAI/ML development, research, software engineeringData analysis, reporting, business insights
Industry UsageAI/ML projects, research labs, tech companiesBusiness, finance, healthcare, tech

Tensorflow and Pytorch are deep learning frameworks used primarily by AI/ML developers, while Data Scientists utilize these tools for data analysis and modeling. Although their skill sets overlap, Tensorflow Pytorch focus on model development, whereas Data Scientists apply these models to derive insights and inform decisions.

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

GenAI Data Scientist

Deloitte

Gilbert, AZ

Other

Posted 26 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

59th of 138 rated financial services

Job description

Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

Work You'll Do

As a US Delivery Center Senior Solution Specialist on the team, you will:

  • Work across client teams to develop and architect Generative AI solutions using ML and GenAI
  • Develop and promote standards across the community
  • Evaluate and select appropriate AI tools and machine learning models for tasks, as well as building and training working versions of those models using Python and other open-source technologies
  • Work with leadership and stakeholders to identify AI opportunities and promote strategy.
  • Develop and conduct trainings for users across the Government & Public Services landscape on principles used to develop models and how to interact with models to facilitate their business processes.
  • Build and prioritize backlog for future machine-learning enabled features to support client business processes.
  • Design and build generative models, selecting the most suitable architecture (e.g., GANs, VAEs) based on the desired output (text, images, code). This involves writing code using Python libraries like TensorFlow or PyTorch.

The Team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.

This opportunity sits within our Deloitte US Delivery Center model, which is dedicated to driving impactful business services. It leverages Deloitte's scale and talent, as well as a center delivery model to provide high-quality, cost-effective service with standardized processes and procedures to service businesses across Deloitte.

The Deloitte US Delivery Center has a small-business feel with a big-business impact. With the resources of Deloitte and a community feel, the delivery center model provides high-quality services to our clients. USDC professionals work out of one of our specific delivery center locations, and each location presents dynamic career opportunities for professionals to focus on their work with nominal travel requirements.

Qualifications

Required: 

  • Bachelor's degree or equivalent experience
  • 6+ years of experience programming in in Python or R with libraries like TensorFlow, PyTorch, or Keras
  • 5+ years of experience with Natural Language Processing (NLP) and Large Language Models (LLM) 
  • 5+ years of experience building and maintaining scalable API solutions
  • 5+ years of experience in data wrangling/cleansing, statistical modeling, and programming
  • 5+ years of extensive experience working in an Agile development environment
  • 3+ years of solid understanding of machine learning algorithms, including supervised and unsupervised learning
  • 3+ years of deep learning architectures like convolutional neural networks (CNNs) for image generation and recurrent neural networks (RNNs) for text generation are key areas of focus.
  • 3+ years of experience with AI/ML, with last 2 years focused on GenAI as well as technologies like OpenAI, Claude, Gemini, LangChain, Agents, Vector databases, and approaches likePrompt Engineering, fine-tuning, etc.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future 
  • Must be able to obtain and maintain the required clearance for this role 
  • Delivery Center Location & Travel Requirements:
    • Hybrid Work Model: Operate under a hybrid system requiring residence within a commutable distance to one of the US Delivery Center locations (Gilbert, Lake Mary, or Mechanicsburg) 
    • Co-location Expectation: Spend up to 30% of working time co-located at an assigned office for orchestrated opportunities, including projects, practice sessions, training, and Moments That Matter at a Deloitte Delivery Center location, Geo-Hub location, approved site, or project location
    • Travel Requirement: Maximum of 10% overnight travel for client or project purposes
    • Relocation Requirement: If relocation is necessary, complete the move within 12 weeks from the start date to reside within a commutable distance

Preferred: 

  • Understanding how to apply these models for tasks like text generation, image creation, or data augmentation is essential.
  • Understanding language modeling concepts like n-grams and how they relate to LLM training is important.
  • Familiarity with cloud platforms like AWS, Google Cloud, or Azure can be helpful for deploying and scaling LLM models, especially for large datasets.
  • Knowledge of NLP techniques like text pre-processing, tokenization, and sentiment analysis can be valuable for crafting effective prompts.
  • In depth understanding of AI protocols and standards
Qualifications:

Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

Work You'll Do

As a US Delivery Center Senior Solution Specialist on the team, you will:

  • Work across client teams to develop and architect Generative AI solutions using ML and GenAI
  • Develop and promote standards across the community
  • Evaluate and select appropriate AI tools and machine learning models for tasks, as well as building and training working versions of those models using Python and other open-source technologies
  • Work with leadership and stakeholders to identify AI opportunities and promote strategy.
  • Develop and conduct trainings for users across the Government & Public Services landscape on principles used to develop models and how to interact with models to facilitate their business processes.
  • Build and prioritize backlog for future machine-learning enabled features to support client business processes.
  • Design and build generative models, selecting the most suitable architecture (e.g., GANs, VAEs) based on the desired output (text, images, code). This involves writing code using Python libraries like TensorFlow or PyTorch.

The Team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.

This opportunity sits within our Deloitte US Delivery Center model, which is dedicated to driving impactful business services. It leverages Deloitte's scale and talent, as well as a center delivery model to provide high-quality, cost-effective service with standardized processes and procedures to service businesses across Deloitte.

The Deloitte US Delivery Center has a small-business feel with a big-business impact. With the resources of Deloitte and a community feel, the delivery center model provides high-quality services to our clients. USDC professionals work out of one of our specific delivery center locations, and each location presents dynamic career opportunities for professionals to focus on their work with nominal travel requirements.

Qualifications

Required: 

  • Bachelor's degree or equivalent experience
  • 6+ years of experience programming in in Python or R with libraries like TensorFlow, PyTorch, or Keras
  • 5+ years of experience with Natural Language Processing (NLP) and Large Language Models (LLM) 
  • 5+ years of experience building and maintaining scalable API solutions
  • 5+ years of experience in data wrangling/cleansing, statistical modeling, and programming
  • 5+ years of extensive experience working in an Agile development environment
  • 3+ years of solid understanding of machine learning algorithms, including supervised and unsupervised learning
  • 3+ years of deep learning architectures like convolutional neural networks (CNNs) for image generation and recurrent neural networks (RNNs) for text generation are key areas of focus.
  • 3+ years of experience with AI/ML, with last 2 years focused on GenAI as well as technologies like OpenAI, Claude, Gemini, LangChain, Agents, Vector databases, and approaches likePrompt Engineering, fine-tuning, etc.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future 
  • Must be able to obtain and maintain the required clearance for this role 
  • Delivery Center Location & Travel Requirements:
    • Hybrid Work Model: Operate under a hybrid system requiring residence within a commutable distance to one of the US Delivery Center locations (Gilbert, Lake Mary, or Mechanicsburg) 
    • Co-location Expectation: Spend up to 30% of working time co-located at an assigned office for orchestrated opportunities, including projects, practice sessions, training, and Moments That Matter at a Deloitte Delivery Center location, Geo-Hub location, approved site, or project location
    • Travel Requirement: Maximum of 10% overnight travel for client or project purposes
    • Relocation Requirement: If relocation is necessary, complete the move within 12 weeks from the start date to reside within a commutable distance

Preferred: 

  • Understanding how to apply these models for tasks like text generation, image creation, or data augmentation is essential.
  • Understanding language modeling concepts like n-grams and how they relate to LLM training is important.
  • Familiarity with cloud platforms like AWS, Google Cloud, or Azure can be helpful for deploying and scaling LLM models, especially for large datasets.
  • Knowledge of NLP techniques like text pre-processing, tokenization, and sentiment analysis can be valuable for crafting effective prompts.
  • In depth understanding of AI protocols and standards
Education:OtherEmployment Type:

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