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Contract Tensorflow Jobs in Phoenix, AZ (NOW HIRING)

Inficare Technologies

AI Python Engineer

Phoenix, AZ · On-site

Phoenix, AZ (Hybrid - 3 days onsite) Job Type: Long-Term Contract Experience: 10+ years Job ... Strong Python programming with frameworks such as PyTorch, TensorFlow, or scikit-learn * Hands-on ...

Staffingine LLC

AIML Engineer

Scottsdale, AZ · On-site

Contract to Hire * Design and implement scalable MLOps supportive data pipelines for data ingestion ... Experience working with largescale machine learning frameworks such as TensorFlow Caffe2 PyTorch ...

Phoenix Staff

Lead Data & AI Engineer

Phoenix, AZ · On-site +1

$50 - $60/hr

Phoenix, AZ (hybrid remote) Type: 6-month contract to hire Pay: $50-60/hr We're looking for a Lead ... learn, PyTorch, TensorFlow, Azure ML, or Fabric ML. · Practical experience managing HIPAA ...

All JobsContract Tensorflow JobsContract Tensorflow Jobs in Phoenix, AZ

Contract Tensorflow information

See Phoenix, AZ salary details

$37.2K

$121.9K

$195.1K

How much do contract tensorflow jobs pay per year?

As of Aug 17, 2026, the average yearly pay for contract 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 the difference between Contract Tensorflow vs Contract Machine Learning Engineer?

AspectContract TensorflowContract Machine Learning Engineer
Required CredentialsProficiency in TensorFlow, Python, ML conceptsProficiency in ML frameworks, Python, data analysis
Work EnvironmentProject-based, remote or on-site, tech companiesProject-based, tech or research firms, collaborative teams
Employer & Industry UsageTech companies, startups, AI-focused firmsTech companies, consulting firms, research institutions
Search & Comparison IntentUnderstanding TensorFlow-specific roles, contract workBroader ML roles, contract opportunities in ML

Contract Tensorflow roles focus specifically on implementing and optimizing models using TensorFlow, requiring expertise in this framework. Contract Machine Learning Engineer positions encompass a wider range of ML tools and techniques, often including TensorFlow but also other frameworks. Both roles are project-based, typically in tech environments, but Contract Tensorflow is more specialized in deep learning with TensorFlow.

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 Contract Tensorflow jobs in Phoenix, AZ?

For Contract Tensorflow jobs in Phoenix, AZ, the most frequently searched job titles are:

What job categories do people searching Contract Tensorflow jobs in Phoenix, AZ look for?

The top searched job categories for Contract Tensorflow jobs in Phoenix, AZ are:

What cities near Phoenix, AZ are hiring for Contract Tensorflow jobs?

Cities near Phoenix, AZ with the most Contract Tensorflow job openings:

Contract Tensorflow jobs near you
Infographic showing various Contract Tensorflow job openings in Phoenix, AZ as of June 2026, with employment types broken down into 62% Full Time, 21% Part Time, and 17% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $121,868 per year, or $58.6 per hour.

AI Python Engineer

Inficare Technologies

Phoenix, AZ • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Title: Senior AI Python Engineer
Location: Phoenix, AZ (Hybrid - 3 days onsite)
Job Type: Long-Term Contract
Experience: 10+ years
Job Overview
We are looking for a Senior Engineer - Artificial Intelligence to design and build impactful, intelligent, and secure AI solutions in the Information Security, Governance, and Control space. You will translate complex business requirements into scalable, production-ready AI applications using cutting-edge Generative AI and agentic frameworks.
Key Responsibilities
  • Build and enhance AI/ML and GenAI-powered solutions using Python, LLMs, RAG, prompt engineering, and agentic AI frameworks
  • Develop models for NLP, classification, clustering, anomaly detection, and predictive analytics
  • Support model lifecycle activities: experimentation, evaluation, versioning, deployment, monitoring, and documentation
  • Contribute to cloud-native ML pipelines and AI application deployment using MLOps, APIs, Docker, and Kubernetes
  • Collaborate cross-functionally with Security, Risk, Engineering, Governance, and Data teams
  • Stay current with emerging trends in Machine Learning, Generative AI, Agentic AI, and MLOps
Required Skills
  • 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 frameworks: LangChain, LangGraph, AutoGen, or CrewAI
  • Exposure to APIs, cloud platforms (AWS, Azure, GCP), Docker, Kubernetes, and vector databases
  • MLOps/data tools: MLflow, Kubeflow, Argo Workflows, Kafka, Spark, or NiFi
Preferred Skills
  • Flask, FastAPI, Hugging Face, Triton Inference Server
  • pgVector, Milvus, Prometheus, Elasticsearch, Kibana
  • CI/CD: Jenkins, GitLab CI, XL Release
Location & Work Model
Phoenix, AZ - Hybrid (3 days onsite per week)
Engagement Details
Long-term contract engagement. Bachelor's degree in Computer Science, Engineering, Data Science, AI, or a related field required.

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