... TensorFlow, PyTorch, Pandas, NumPy, and Matplotlib. • Deployed models using REST APIs, Docker, or cloud platforms (AWS / Azure / GCP) to support production use cases. Qualifications : Required ...
... TensorFlow, PyTorch, Pandas, NumPy, and Matplotlib. • Deployed models using REST APIs, Docker, or cloud platforms (AWS / Azure / GCP) to support production use cases. Qualifications : Required ...
AI/ML Engineer
Scottsdale, AZ · On-site
Strong programming skills in Python, Bash, or Go, with experience in ML frameworks (TensorFlow, PyTorch, Scikit-learn). Preferred Certifications (one or more): Google Cloud Professional Machine ...
Quick apply
AI/ML Engineer
Scottsdale, AZ · On-site
Strong programming skills in Python, Bash, or Go, with experience in ML frameworks (TensorFlow, PyTorch, Scikit-learn). Preferred Certifications (one or more): Google Cloud Professional Machine ...
Python Unix machine learning Support Engineer
Chandler, AZ · On-site
$80K - $90K/yr
... TensorFlow, PyTorch, Pandas, NumPy, and Matplotlib. • Deployed models using REST APIs, Docker, or cloud platforms (AWS / Azure / GCP) to support production use cases. Salary Range- $80,000-$90,000 ...
Python Unix machine learning Support Engineer
Chandler, AZ · On-site
$80K - $90K/yr
... TensorFlow, PyTorch, Pandas, NumPy, and Matplotlib. • Deployed models using REST APIs, Docker, or cloud platforms (AWS / Azure / GCP) to support production use cases. Salary Range- $80,000-$90,000 ...
... TensorFlow, PyTorch, Pandas, NumPy, and Matplotlib. • Deployed models using REST APIs, Docker, or cloud platforms (AWS / Azure / GCP) to support production use cases.
... TensorFlow, PyTorch, Pandas, NumPy, and Matplotlib. • Deployed models using REST APIs, Docker, or cloud platforms (AWS / Azure / GCP) to support production use cases.
... TensorFlow, PyTorch, Pandas, NumPy, and Matplotlib. • Deployed models using REST APIs, Docker, or cloud platforms (AWS / Azure / GCP) to support production use cases.
... TensorFlow, PyTorch, Pandas, NumPy, and Matplotlib. • Deployed models using REST APIs, Docker, or cloud platforms (AWS / Azure / GCP) to support production use cases.
Demonstrated experience with Python, at least one major ML framework (e.g., TensorFlow, PyTorch, scikitlearn), containerization and orchestration technologies (e.g., Docker, Kubernetes), and a major ...
Demonstrated experience with Python, at least one major ML framework (e.g., TensorFlow, PyTorch, scikitlearn), containerization and orchestration technologies (e.g., Docker, Kubernetes), and a major ...
Senior AI/ML & IVR Engineer GCP
$105K - $145K/yr
Strong coding skills in Python and/or Java, with experience in ML frameworks (TensorFlow, PyTorch, scikit-learn) * Experience building and scaling IVR/Conversational AI systems (Dialogflow, Contact ...
Senior AI/ML & IVR Engineer GCP
$105K - $145K/yr
Strong coding skills in Python and/or Java, with experience in ML frameworks (TensorFlow, PyTorch, scikit-learn) * Experience building and scaling IVR/Conversational AI systems (Dialogflow, Contact ...
Sr. Engineer, Machine Learning Operations
Phoenix, AZ · On-site
$209K/yr
Demonstrated experience with Python, at least one major ML framework (e.g., TensorFlow, PyTorch, scikit-learn), containerization and orchestration technologies (e.g., Docker, Kubernetes), and a major ...
Sr. Engineer, Machine Learning Operations
Phoenix, AZ · On-site
$209K/yr
Demonstrated experience with Python, at least one major ML framework (e.g., TensorFlow, PyTorch, scikit-learn), containerization and orchestration technologies (e.g., Docker, Kubernetes), and a major ...
Senior Java Developer _ Phoenix, AZ _ Only USC OR GC
Phoenix, AZ · On-site
$56.75 - $72.50/hr
Experience with machine learning frameworks (e.g., TensorFlow, PyTorch). Familiarity with containerization and orchestration technologies (Docker, Kubernetes). Knowledge of front-end technologies ...
Quick apply
Senior Java Developer _ Phoenix, AZ _ Only USC OR GC
Phoenix, AZ · On-site
$56.75 - $72.50/hr
Experience with machine learning frameworks (e.g., TensorFlow, PyTorch). Familiarity with containerization and orchestration technologies (Docker, Kubernetes). Knowledge of front-end technologies ...
AI/ML Engineer
Phoenix, AZ · On-site
Experience with TensorFlow, PyTorch, and scikit-learn. * Cloud Platforms : Working knowledge of Google Cloud and Azure. * Front-End Frameworks/Libraries : Experience with React, Angular, Vue.js, and ...
AI/ML Engineer
Phoenix, AZ · On-site
Experience with TensorFlow, PyTorch, and scikit-learn. * Cloud Platforms : Working knowledge of Google Cloud and Azure. * Front-End Frameworks/Libraries : Experience with React, Angular, Vue.js, and ...
MLOps Engineer
Scottsdale, AZ · On-site
TensorFlow, PyTorch, Scikit-learn * Hands-on experience with MLOps tools: MLflow, Kubeflow, Airflow, SageMaker, Azure ML * Knowledge of CI/CD tools: Jenkins, GitHub Actions, GitLab CI * Experience ...
Quick apply
MLOps Engineer
Scottsdale, AZ · On-site
TensorFlow, PyTorch, Scikit-learn * Hands-on experience with MLOps tools: MLflow, Kubeflow, Airflow, SageMaker, Azure ML * Knowledge of CI/CD tools: Jenkins, GitHub Actions, GitLab CI * Experience ...
Interest in applying machine-learning frameworks (e.g., TensorFlow, PyTorch) to imaging problems. Strong problem-solving skills and the curiosity to dig deep into both hardware and software. What You ...
Interest in applying machine-learning frameworks (e.g., TensorFlow, PyTorch) to imaging problems. Strong problem-solving skills and the curiosity to dig deep into both hardware and software. What You ...
And familiar with machine learning platforms Tensorflow, Pytorch, Mxnet, etc. * The basic algorithms and deep learning algorithms of related machine learning have a deep understanding and mastery ...
And familiar with machine learning platforms Tensorflow, Pytorch, Mxnet, etc. * The basic algorithms and deep learning algorithms of related machine learning have a deep understanding and mastery ...
Interest in applying machine-learning frameworks (e.g., TensorFlow, PyTorch) to imaging problems. • Strong problem-solving skills and the curiosity to dig deep into both hardware and software. What ...
Interest in applying machine-learning frameworks (e.g., TensorFlow, PyTorch) to imaging problems. • Strong problem-solving skills and the curiosity to dig deep into both hardware and software. What ...
Anti-Fraud Risk Engineer
Tempe, AZ · On-site
And familiar with machine learning platforms Tensorflow, Pytorch, Mxnet, etc. * The basic algorithms and deep learning algorithms of related machine learning have a deep understanding and mastery ...
Anti-Fraud Risk Engineer
Tempe, AZ · On-site
And familiar with machine learning platforms Tensorflow, Pytorch, Mxnet, etc. * The basic algorithms and deep learning algorithms of related machine learning have a deep understanding and mastery ...
... Tensorflow, PyTorch, or Keras • 5+ years of experience with NLP and LLM, especially focused on GenAI technologies such as OpenAI, Claude, Gemini, etc. • 2+ years of understanding of machine ...
... Tensorflow, PyTorch, or Keras • 5+ years of experience with NLP and LLM, especially focused on GenAI technologies such as OpenAI, Claude, Gemini, etc. • 2+ years of understanding of machine ...
Java Developer with GenAI Copilot
Phoenix, AZ · On-site
$50.75 - $65.50/hr
Experience with machine learning frameworks (e.g., TensorFlow, PyTorch). * Familiarity with containerization and orchestration technologies (Docker, Kubernetes). * Knowledge of front-end technologies ...
Quick apply
Apply Early
Java Developer with GenAI Copilot
Phoenix, AZ · On-site
$50.75 - $65.50/hr
Experience with machine learning frameworks (e.g., TensorFlow, PyTorch). * Familiarity with containerization and orchestration technologies (Docker, Kubernetes). * Knowledge of front-end technologies ...
Apply Early
Prompt Engineers
Phoenix, AZ · On-site
Familiarity with machine learning frameworks and libraries like TensorFlow, PyTorch, or Hugging Face. * Strong analytical and problem-solving skills with a keen eye for detail. * Excellent ...
Quick apply
Apply Early
Prompt Engineers
Phoenix, AZ · On-site
Familiarity with machine learning frameworks and libraries like TensorFlow, PyTorch, or Hugging Face. * Strong analytical and problem-solving skills with a keen eye for detail. * Excellent ...
Apply Early
SVP AI Enterprise Architect
Tempe, AZ · On-site
$67 - $86.50/hr
NET, Rust, Go, etc.). • Model training or fine tuning experience. • Holds an Advanced cloud certification in Azure. • Experience with LangChain, TensorFlow, PyTorch, or Databricks SDKs for ML.
SVP AI Enterprise Architect
Tempe, AZ · On-site
$67 - $86.50/hr
NET, Rust, Go, etc.). • Model training or fine tuning experience. • Holds an Advanced cloud certification in Azure. • Experience with LangChain, TensorFlow, PyTorch, or Databricks SDKs for ML.
... TensorFlow, PyTorch, Pandas, NumPy, and Matplotlib. • Deployed models using REST APIs, Docker, or cloud platforms (AWS / Azure / GCP) to support production use cases. Must Have Technical/Functional ...
... TensorFlow, PyTorch, Pandas, NumPy, and Matplotlib. • Deployed models using REST APIs, Docker, or cloud platforms (AWS / Azure / GCP) to support production use cases. Must Have Technical/Functional ...
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.
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?
| Aspect | Tensorflow Pytorch | Data Scientist |
|---|---|---|
| Required Skills | Deep learning frameworks, Python, machine learning | Data analysis, statistical skills, Python/R, machine learning |
| Work Environment | AI/ML development, research, software engineering | Data analysis, reporting, business insights |
| Industry Usage | AI/ML projects, research labs, tech companies | Business, 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.
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 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:
Full-time
Posted 24 days ago
Tata Consultancy Services rating
6.5
Based on 21 frontline employees who took The Breakroom Quiz
157th of 207 rated it services
Job description
Job Summary:
Tata Consultancy Services is seeking a Python Unix machine learning Support Engineer. The role involves configuring Unix systems, troubleshooting issues, automating tasks with Python, and developing machine learning models to enhance system performance.
Responsibilities:
• System Configuration: Configuring Unix systems to meet specific requirements and standards.
• Troubleshooting: Identifying and resolving issues with Unix systems and applications.
• Scripting: Automating repetitive tasks using Python scripts.
• Performance Optimization: Analyzing and improving the performance of Unix systems.
• Documentation: Creating and maintaining system documentation and guides.
• Collaboration: Working with other teams and departments to ensure Unix systems are integrated and functional.
• Implement AI workflows using Python, agent frameworks, and orchestration tools
• Develop LLM pipelines including prompt engineering, prompt chaining, memory, tool calling, and multi-agent coordination
• Integrate LLMs with enterprise systems and APIs
• These roles are essential for maintaining the reliability and efficiency of Unix-based systems, and Python skills can be leveraged to automate and streamline these tasks.
• Designed, developed, and deployed machine learning models using supervised and unsupervised learning techniques to solve real world business problems.
• Worked with Python ML libraries including Scikit learn, TensorFlow, PyTorch, Pandas, NumPy, and Matplotlib.
• Deployed models using REST APIs, Docker, or cloud platforms (AWS / Azure / GCP) to support production use cases.
Qualifications:
Required:
• BACHELOR OF COMPUTER SCIENCE
• 6 - 10 Years of experience
• Unix
• Shell Scripting
• Python
• Machine learning
• Production Support
• System Configuration: Configuring Unix systems to meet specific requirements and standards.
• Troubleshooting: Identifying and resolving issues with Unix systems and applications.
• Scripting: Automating repetitive tasks using Python scripts.
• Performance Optimization: Analyzing and improving the performance of Unix systems.
• Documentation: Creating and maintaining system documentation and guides.
• Collaboration: Working with other teams and departments to ensure Unix systems are integrated and functional.
• Implement AI workflows using Python, agent frameworks, and orchestration tools
• Develop LLM pipelines including prompt engineering, prompt chaining, memory, tool calling, and multi-agent coordination
• Integrate LLMs with enterprise systems and APIs
• Designed, developed, and deployed machine learning models using supervised and unsupervised learning techniques to solve real world business problems.
• Worked with Python ML libraries including Scikit learn, TensorFlow, PyTorch, Pandas, NumPy, and Matplotlib.
• Deployed models using REST APIs, Docker, or cloud platforms (AWS / Azure / GCP) to support production use cases.
Company:
Tata Consultancy Services is a business solutions company that specializes on information technology services and consulting. It is a sub-organization of Tata Group. Founded in 1968, the company is headquartered in Mumbai, IND, with a team of 10001+ employees. The company is currently Late Stage.
Tata Consultancy Services is seeking a Python Unix machine learning Support Engineer. The role involves configuring Unix systems, troubleshooting issues, automating tasks with Python, and developing machine learning models to enhance system performance.
Responsibilities:
• System Configuration: Configuring Unix systems to meet specific requirements and standards.
• Troubleshooting: Identifying and resolving issues with Unix systems and applications.
• Scripting: Automating repetitive tasks using Python scripts.
• Performance Optimization: Analyzing and improving the performance of Unix systems.
• Documentation: Creating and maintaining system documentation and guides.
• Collaboration: Working with other teams and departments to ensure Unix systems are integrated and functional.
• Implement AI workflows using Python, agent frameworks, and orchestration tools
• Develop LLM pipelines including prompt engineering, prompt chaining, memory, tool calling, and multi-agent coordination
• Integrate LLMs with enterprise systems and APIs
• These roles are essential for maintaining the reliability and efficiency of Unix-based systems, and Python skills can be leveraged to automate and streamline these tasks.
• Designed, developed, and deployed machine learning models using supervised and unsupervised learning techniques to solve real world business problems.
• Worked with Python ML libraries including Scikit learn, TensorFlow, PyTorch, Pandas, NumPy, and Matplotlib.
• Deployed models using REST APIs, Docker, or cloud platforms (AWS / Azure / GCP) to support production use cases.
Qualifications:
Required:
• BACHELOR OF COMPUTER SCIENCE
• 6 - 10 Years of experience
• Unix
• Shell Scripting
• Python
• Machine learning
• Production Support
• System Configuration: Configuring Unix systems to meet specific requirements and standards.
• Troubleshooting: Identifying and resolving issues with Unix systems and applications.
• Scripting: Automating repetitive tasks using Python scripts.
• Performance Optimization: Analyzing and improving the performance of Unix systems.
• Documentation: Creating and maintaining system documentation and guides.
• Collaboration: Working with other teams and departments to ensure Unix systems are integrated and functional.
• Implement AI workflows using Python, agent frameworks, and orchestration tools
• Develop LLM pipelines including prompt engineering, prompt chaining, memory, tool calling, and multi-agent coordination
• Integrate LLMs with enterprise systems and APIs
• Designed, developed, and deployed machine learning models using supervised and unsupervised learning techniques to solve real world business problems.
• Worked with Python ML libraries including Scikit learn, TensorFlow, PyTorch, Pandas, NumPy, and Matplotlib.
• Deployed models using REST APIs, Docker, or cloud platforms (AWS / Azure / GCP) to support production use cases.
Company:
Tata Consultancy Services is a business solutions company that specializes on information technology services and consulting. It is a sub-organization of Tata Group. Founded in 1968, the company is headquartered in Mumbai, IND, with a team of 10001+ employees. The company is currently Late Stage.
What Tata Consultancy Services employees say
Pay
Benefits
Hours and flexibility
Workplace
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About Tata Consultancy Services
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Tata Consultancy Services is an IT services, consulting and business solutions organization that delivers real results to global business, ensuring a level of certainty no other firm can match. TCS offers a consulting-led, integrated portfolio of IT, BPO, infrastructure, engineering, and assurance services. This is delivered through its unique Global Network Delivery Model™, recognized as the benchmark of excellence in software development. TCS delivers a level of certainty that no other firm can match--to our clients and to our employees. Come join us and experience certainty in your career. TCS a global Consulting and IT Services firm that is ranked in the top quartile by industry analysts. Our 2021 fiscal revenues topped $25 B and our market capitalization is over $170+B, yet we have a deep and large history of philanthropy and corporate social responsibility. Now approaching 600K of the best IT professionals and consultants, we are a trusted advisor, guiding our clients' enterprises through growth and transformation journeys - helping them to become agile, intelligent, automated and on the cloud. We are devoted to DEI and are recognized as a top employer and place to work.