ZipRecruiter

Log In

1

Tensorflow Engineer Jobs in Arizona (NOW HIRING)

Phoenix Staff

Lead Data & AI Engineer

Phoenix, AZ · On-site +1

$50 - $60/hr

... TensorFlow, Azure ML, or Fabric ML. · Practical experience managing HIPAA compliance, PHI handling, auditing, and secure access controls within cloud data environments. · Experience working with ...

Infosys Limited

AI Engineer

Phoenix, AZ · On-site

$120 - $180/hr

The STG unit brings together Specialist Programmers, Senior Technologists, and Technical Leaders ... like TensorFlow or PyTorch. Design, develop, and deploy generative AI models for various ...

CNH Industrial N.V.

AI Development Engineer

Tempe, AZ · On-site

$111K - $163K/yr

... (1) TensorFlow, PyTorch, or OpenCV; (2) writing object-oriented programs in C++ language to ... engineering for multimodal datasets; and (6) conducting field validation under environmental or ...

Infosys

AI Engineer

Phoenix, AZ · On-site

In the assigned Job Role of Specialist Programmer, your Area Of Responsibility will be as below ... like TensorFlow or PyTorch. Design, develop, and deploy generative AI models for various ...

Hospice of the Valley

Senior Data & AI Engineer

Phoenix, AZ · On-site

$100K - $136K/yr

Machine learning: feature engineering, model training/evaluation, and deployment (e.g., scikit‑learn, PyTorch/TensorFlow, Fabric ML/Notebook, Azure ML); production monitoring. * Security ...

Infosys

AI Engineer

Phoenix, AZ · On-site

In the assigned Job Role of Specialist Programmer, your Area Of Responsibility will be as below ... like TensorFlow or PyTorch. Design, develop, and deploy generative AI models for various ...

Hospice of the Valley

Senior Data & AI Engineer

Phoenix, AZ · Remote

$100K - $136K/yr

Machine learning: feature engineering, model training/evaluation, and deployment (e.g., scikitlearn, PyTorch/TensorFlow, Fabric ML/Notebook, Azure ML); production monitoring. * Security & compliance:

previous page

Showing results 41-60

All JobsTensorflow Engineer JobsTensorflow Engineer Jobs in Arizona

Tensorflow Engineer information

See Arizona salary details

$30.8K

$87.6K

$135.6K

How much do tensorflow engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for tensorflow engineer in Arizona is $87,625.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,200.00 and $101,100.00 per year, depending on experience, location, and employer.

What cities in Arizona are hiring for Tensorflow Engineer jobs?

Cities in Arizona with the most Tensorflow Engineer job openings:

Tensorflow Engineer jobs near you

Lead Data & AI Engineer

Phoenix Staff

Phoenix, AZ • On-site, Remote

$50 - $60/hr

Contractor

Re-posted 4 days ago

Job description

Title: Lead Data & AI Engineer

Location: Phoenix, AZ (hybrid remote)

Type: 6-month contract to hire

Pay: $50-60/hr

We’re looking for a Lead Data & AI Engineer to lead the design and delivery of secure, scalable data and AI solutions within complex healthcare environments. The position focuses on building modern data platforms, integrating diverse clinical and claims datasets, and operationalizing machine learning models that improve cost, quality, and patient outcomes.

Your role

·       Design, implement, and optimize data platforms using Snowflake and Microsoft Fabric, including Lakehouses, Warehouses, OneLake, and engineering pipelines.

·       Build and maintain scalable ingestion frameworks for batch and streaming data sources such as APIs, ADLS, SFTP, and event streams with full lineage and governance.

·       Develop secure data environments that comply with HIPAA and PHI requirements using role-based access, masking, tokenization, and de-identification.

·       Create conceptual, logical, and physical data models using dimensional, normalized, and data vault approaches.

·       Transform and normalize structured and unstructured healthcare data including claims, eligibility, enrollment, provider, and clinical documentation.

·       Integrate and harmonize data using FHIR, HL7, X12/EDI 837/835, NCPDP, and CMS standards across payer, provider, EHR, and HIE systems.

·       Build and deploy machine learning pipelines for risk modeling, utilization forecasting, fraud detection, quality measurement, and care gap analysis.

·       Operationalize models with strong MLOps practices including versioning, CI/CD, monitoring, and drift detection.

·       Implement data cataloging, metadata management, lineage tracking, and quality validation using tools such as Microsoft Purview or equivalent.

·       Monitor and optimize pipeline performance, cost, and reliability across Snowflake and Fabric environments.

·       Collaborate with clinicians, actuaries, product teams, and analysts to translate business needs into scalable technical solutions.

·       Document architecture, data mappings, and design standards while mentoring engineers and contributing to enterprise best practices.

What you’ve got

·       8+ years of experience in data engineering or analytics with at least 5 years of hands-on Snowflake expertise including virtual warehouses, tasks, streams, Snowpipe, RBAC, masking, and data sharing.

·       2+ years of experience with Microsoft Fabric including OneLake, Lakehouses, Warehouses, Dataflows Gen2, Notebooks, and Pipelines.

·       Advanced SQL skills with strong experience in ETL/ELT development using Python, dbt, Dataflows, or Fabric/ADF pipelines.

·       Deep knowledge of healthcare data standards including CMS datasets, FHIR, HL7, X12/EDI, provider data, eligibility, and claims processing.

·       Strong data modeling experience including dimensional modeling, SCD types, surrogate keys, 3NF, and data vault methodologies.

·       Experience building and deploying machine learning solutions using tools such as scikit-learn, PyTorch, TensorFlow, Azure ML, or Fabric ML.

·       Practical experience managing HIPAA compliance, PHI handling, auditing, and secure access controls within cloud data environments.

·       Experience working with both structured data formats such as Parquet and CSV and unstructured data such as clinical notes and PDFs.

·       Strong communication skills with the ability to produce mapping specifications, lineage documentation, and present technical trade-offs clearly.

·       Preferred: Experience with Epic or Cerner integrations, HEDIS or risk adjustment programs, MLOps tools such as MLflow or GitHub Actions, Power BI semantic modeling, and relevant Snowflake or Microsoft certifications.

To find more great tech-centric jobs, please visit www.phoenixstaff.com.