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Senior Meta Machine Learning Jobs in Arizona (NOW HIRING)

Design, build, and deploy machine learning pipelines and end-to-end AI solutions using GCP services ... As a Senior AI/ML, IVR, and GCP Engineer, you will architect, develop, and optimize advanced AI/ML ...

Experience deploying machine learning or generative and agentic AI solutions into production ... Our Senior Consultants are expected to contribute to the firm's growth and development in a variety ...

Senior Data Engineer

Phoenix, AZ · On-site +1

$105K - $158K/yr

Description Senior Data Engineer Role Summary As a Senior Data Engineer, you will design, develop ... Collaborate with data science and analytics teams to support machine learning, AI, and advanced ...

Senior AI / Data Science Engineer

Phoenix, AZ · On-site

$105K - $143K/yr

As a Senior AI / Data Science Engineer in the MDCE Data Science organization, you will play a ... Lead development of advanced AI, Machine Learning, and Generative AI solutions that address ...

Senior Data Engineer

Phoenix, AZ · On-site +1

$105K - $158K/yr

Senior Data Engineer Role Summary As a Senior Data Engineer, you will design, develop, and support ... Collaborate with data science and analytics teams to support machine learning, AI, and advanced ...

Senior Data Engineer

Phoenix, AZ · On-site +1

$105K - $158K/yr

Description Senior Data Engineer Role Summary As a Senior Data Engineer, you will design, develop ... Collaborate with data science and analytics teams to support machine learning, AI, and advanced ...

Data Scientist / Senior Data Scientist We are seeking a highly skilled Data Scientist with strong experience in Generative AI, traditional Machine Learning, and ML Ops. The ideal candidate will have ...

Data Scientist / Senior Data Scientist We are seeking a highly skilled Data Scientist with strong experience in Generative AI, traditional Machine Learning, and ML Ops. The ideal candidate will have ...

Data Scientist

Chandler, AZ · On-site

$100 - $125/hr

Data Scientist / Senior Data Scientist We are seeking a highly skilled Data Scientist with strong experience in Generative AI, traditional Machine Learning, and ML Ops. The ideal candidate will have ...

... machine learning algorithms and predictive modeling techniques - Collaborating with clients to validate outcomes and incorporate feedback into data solutions - Directing teams through complex ...

A successful candidate will possess a strong foundation in machine learning, statistical modeling, and advanced SQL, and will partner with senior data scientists, analytics engineers, and business ...

Define data models, standards, and architecture that support reporting, analytics, machine learning ... We expect that our Senior Data & Analytics Specialist will have the following qualifications: * 5+ ...

Define data models, standards, and architecture that support reporting, analytics, machine learning ... We expect that our Senior Data & Analytics Specialist will have the following qualifications: * 5+ ...

About the Role As a Senior Data Scientist, Field Quality , you will report to a Field Quality ... Build and refine statistical and machine learning models that identify emerging quality concerns ...

New

Senior Data & AI Engineer

Phoenix, AZ · On-site

$100K - $136K/yr

Position Profile The Senior Data & AI Engineer will need to have deep hands‑on experience in ... Analytics & Machine Learning * Build ML pipelines for risk stratification, cost/utilization ...

Senior Data & AI Engineer

Phoenix, AZ · Remote

$100K - $136K/yr

Position Profile The Senior Data & AI Engineer will need to have deep handson experience in ... Analytics & Machine Learning * Build ML pipelines for risk stratification, cost/utilization ...

Showing results 41-60

Senior Meta Machine Learning information

What is the difference between Senior Meta Machine Learning vs Data Scientist?

AspectSenior Meta Machine LearningData Scientist
Required CredentialsMaster's or PhD in CS, ML, or related fields; experience with meta-learning frameworksBachelor's or higher in CS, Statistics, or related fields; proficiency in data analysis
Work EnvironmentResearch-focused teams developing advanced ML models, often in AI companiesData analysis, modeling, and visualization across various industries
Employer & Industry UsageTech firms, AI startups, research institutionsFinance, healthcare, e-commerce, tech companies

While both roles involve machine learning expertise, Senior Meta Machine Learning specialists focus on developing advanced meta-learning algorithms, often in research settings, whereas Data Scientists apply data analysis and modeling techniques across diverse industries. The roles share similar educational backgrounds but differ in focus and application.

What are the most commonly searched types of Meta Machine Learning jobs in Arizona?

The most popular types of Meta Machine Learning jobs in Arizona are:

What job categories do people searching Senior Meta Machine Learning jobs in Arizona look for?

The top searched job categories for Senior Meta Machine Learning jobs in Arizona are:

What cities in Arizona are hiring for Senior Meta Machine Learning jobs?

Cities in Arizona with the most Senior Meta Machine Learning job openings:

Infographic showing various Senior Meta Machine Learning job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 21% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.

Senior AI/ML & IVR Engineer GCP

IntraEdge

Scottsdale, AZ

$105K - $145K/yr

Full-time

Re-posted 20 days ago


Key responsibilities

  • Design, build, and deploy machine learning pipelines and end-to-end AI solutions using GCP services.

  • Architect and optimize IVR/Conversational AI systems integrating speech recognition, NLP, and dialog management.

  • Implement robust MLOps for model monitoring, versioning, CI/CD, retraining, and performance optimization on GCP.


Job description

Position Overview:
As a Senior AI/ML, IVR, and GCP Engineer, you will architect, develop, and optimize advanced AI/ML solutions and voice automation (IVR) platforms using Google Cloud Platform. You will work closely with data scientists, engineers, and product teams to drive innovation and build scalable machine learning and conversational AI systems.

Key Responsibilities:

  • Design, build, and deploy machine learning pipelines and end-to-end AI solutions using GCP services (BigQuery, Vertex AI, Dataflow, Pub/Sub, etc.)

  • Architect and optimize IVR/Conversational AI systems integrating speech recognition, NLP, and dialog management

  • Implement robust MLOps for model monitoring, versioning, CI/CD, retraining, and performance optimization on GCP

  • Lead technical projects, mentor team members, and ensure best practices in code quality, security, and AI ethics

  • Collaborate with cross-functional teams to integrate AI/ML and IVR capabilities with business applications and customer experiences

  • Develop APIs and cloud-native interfaces for scalable, secure, low-latency access to AI features

  • Ensure compliance and data governance for voice and customer data according to privacy and regulatory standards

Must-Have Skills:

  • Expertise with GCP AI/ML tools (Vertex AI, BigQuery ML, Kubeflow, Dataflow, Cloud Functions)

  • 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 Center AI, Twilio, etc.)

  • Advanced MLOps: CI/CD, containerization (Docker), orchestration (Kubernetes), monitoring, and automation

  • Data engineering skills: ETL/ELT, real-time and batch pipelines

  • Excellent communication, collaboration, and technical leadership abilities

  • Bachelor's degree (minimum), Master's or PhD preferred, in Computer Science, Engineering, or related field

  • 7+ years of experience in AI/ML engineering, cloud platforms, and IVR/conversational applications

Desirable:

  • GCP Professional Certifications (Data Engineer, ML Engineer)

  • Experience with call center, telecom, or enterprise voice automation

  • Knowledge of infrastructure-as-code (Terraform, Cloud Deployment Manager)

Success in This Role:

  • Reliable, high-performance deployment of AI/ML and IVR solutions on GCP

  • Measurable improvements in automation, customer experience, and efficiency

  • Effective collaboration with business, engineering, and product teams


Position Overview:
As a Senior AI/ML, IVR, and GCP Engineer, you will architect, develop, and optimize advanced AI/ML solutions and voice automation (IVR) platforms using Google Cloud Platform. You will work closely with data scientists, engineers, and product teams to drive innovation and build scalable machine learning and conversational AI systems.

Key Responsibilities:

  • Design, build, and deploy machine learning pipelines and end-to-end AI solutions using GCP services (BigQuery, Vertex AI, Dataflow, Pub/Sub, etc.)

  • Architect and optimize IVR/Conversational AI systems integrating speech recognition, NLP, and dialog management

  • Implement robust MLOps for model monitoring, versioning, CI/CD, retraining, and performance optimization on GCP

  • Lead technical projects, mentor team members, and ensure best practices in code quality, security, and AI ethics

  • Collaborate with cross-functional teams to integrate AI/ML and IVR capabilities with business applications and customer experiences

  • Develop APIs and cloud-native interfaces for scalable, secure, low-latency access to AI features

  • Ensure compliance and data governance for voice and customer data according to privacy and regulatory standards

Must-Have Skills:

  • Expertise with GCP AI/ML tools (Vertex AI, BigQuery ML, Kubeflow, Dataflow, Cloud Functions)

  • 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 Center AI, Twilio, etc.)

  • Advanced MLOps: CI/CD, containerization (Docker), orchestration (Kubernetes), monitoring, and automation

  • Data engineering skills: ETL/ELT, real-time and batch pipelines

  • Excellent communication, collaboration, and technical leadership abilities

  • Bachelor's degree (minimum), Master's or PhD preferred, in Computer Science, Engineering, or related field

  • 7+ years of experience in AI/ML engineering, cloud platforms, and IVR/conversational applications

Desirable:

  • GCP Professional Certifications (Data Engineer, ML Engineer)

  • Experience with call center, telecom, or enterprise voice automation

  • Knowledge of infrastructure-as-code (Terraform, Cloud Deployment Manager)

Success in This Role:

  • Reliable, high-performance deployment of AI/ML and IVR solutions on GCP

  • Measurable improvements in automation, customer experience, and efficiency

  • Effective collaboration with business, engineering, and product teams

Education:Employment Type: FULL_TIME

IntraEdge logo

About IntraEdge

Sourced by ZipRecruiter

At heart, we are a technology, products and services organization In our soul, it’s the people who make us what we are — the professionals we train and connect to next-level opportunities and the experts who create innovative solutions and value for our national and international partners. It’s true that innovative technology can provide a major boost to your business, but you also need the right talent pushing it forward. This critical combination is what we offer all of our partners: cutting edge tech solutions and the expertise to bring it to life.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Chandler, AZ, US

Year founded

2002

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