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Tensorflow Jobs in Phoenix, AZ (NOW HIRING)

IntraEdge

Engineer II Premium

Phoenix, AZ

$82K - $110K/yr

... TensorFlow/Keras, LangChain, NLP (NLTK, spaCy), pandas, Matplotlib - Vector databases (ChromaDB, FAISS, pgvector) - Cloud Deployment (AWS/GCP/Azure) - Docker - Git - AI/ML Skills: - Retrieval ...

Rivago infotech inc

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 ...

Programmers.io

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 ...

Staffingine LLC

AIML Engineer

Scottsdale, AZ · On-site

Experience working with largescale machine learning frameworks such as TensorFlow Caffe2 PyTorch Spark ML or related frameworks * Experience and knowledge in the most recent advancements in Gen AI ...

Inficare Technologies

AI Python Engineer

Phoenix, AZ · On-site

Strong Python programming with frameworks such as PyTorch, TensorFlow, or scikit-learn * Hands-on experience with LLMs, NLP, embeddings, RAG, and prompt engineering * Experience with agentic AI ...

IntraEdge

Senior AI/ML & IVR Engineer GCP

Scottsdale, AZ · On-site

$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 ...

Redolent, Inc.

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 ...

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Tensorflow information

See Phoenix, AZ salary details

$37.2K

$121.9K

$195.1K

How much do tensorflow jobs pay per year?

As of Jul 27, 2026, the average yearly pay for tensorflow in Phoenix, AZ is $121,868.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,800.00 and $135,000.00 per year, depending on experience, location, and employer.

What is a TensorFlow job?

A TensorFlow job typically involves developing, training, and deploying machine learning models using TensorFlow, an open-source AI framework. Responsibilities may include data preprocessing, building neural networks, optimizing model performance, and integrating models into applications. These roles are common in industries like healthcare, finance, and autonomous systems, requiring skills in Python, deep learning, and TensorFlow's ecosystem.

What are typical daily responsibilities for someone working in a TensorFlow Developer role?

As a TensorFlow Developer, your day-to-day responsibilities often include designing and building machine learning models, preprocessing data, conducting model training and evaluation, and deploying models to production environments. You may also work closely with data scientists, software engineers, and product managers to identify use cases, define project requirements, and optimize system performance. Regular tasks can involve using tools for data visualization, debugging, and performance tuning, as well as keeping up with the latest advancements in machine learning techniques. Collaboration and clear communication are key, as projects often require input and feedback from multiple technical and non-technical stakeholders.

What are the key skills and qualifications needed to thrive in the Tensorflow position, and why are they important?

To thrive in a TensorFlow Developer role, you need strong programming skills in Python, deep learning knowledge, and hands-on experience with TensorFlow and related AI frameworks. Familiarity with tools like Keras, TensorBoard, and cloud platforms such as Google Cloud is often required, and TensorFlow Developer certifications are highly valued. Excellent problem-solving, communication, and teamwork skills help professionals navigate complex projects and collaborate effectively with cross-functional teams. These skills and qualities ensure the successful design, deployment, and optimization of machine learning models in real-world applications.

What are the most commonly searched types of Tensorflow jobs in Phoenix, AZ? The most popular types of Tensorflow jobs in Phoenix, AZ are:
What are popular job titles related to Tensorflow jobs in Phoenix, AZ? For Tensorflow jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Tensorflow jobs in Phoenix, AZ look for? The top searched job categories for Tensorflow jobs in Phoenix, AZ are:
Tensorflow jobs near you
Infographic showing various Tensorflow job openings in Phoenix, AZ as of July 2026, with employment types broken down into 1% Internship, 89% Full Time, 7% Part Time, and 3% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $121,868 per year, or $58.6 per hour.
Python Unix machine learning Support Engineer

Python Unix machine learning Support Engineer

Tata Consultancy Services

Chandler, AZ • On-site

Full-time

Posted 16 days ago

Tata Consultancy Services rating

6.5

Company rating: 6.5 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

176th of 230 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 (TCS) is the technology partner of choice for industry leading organizations worldwide. Founded in 1992, the company is headquartered in Puteaux, FRA, with a team of 10001+ employees. The company is currently Late Stage.

What Tata Consultancy Services employees say

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Benefits

Hours and flexibility

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About Tata Consultancy Services

Sourced by ZipRecruiter

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.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Edison, NJ, US

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