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Azure Ml Jobs (NOW HIRING)

Sonitalent LLC

AI/ML Platform Architect

Newark, NJ · On-site

SageMaker, Azure ML, Vertex AI, Databricks * MLOps & Model Serving: MLflow, Kubeflow, Seldon, KFServing, TensorFlow Serving * GenAI & LLMs: RAG, Vector Databases, Prompt Engineering * Governance:

Sira Consulting

Lead Engineer with ML

Miami, FL

$98K - $129K/yr

Lead Engineer with ML Location: Onsite in Miami, FL Type: Fulltime Key Responsibilities * Lead ... Design and oversee scalable data ecosystems on AWS or Azure, ensuring seamless integration between ...

Diverse Lynx

AI/ML Engineer

Minnetonka, MN

$100K - $120K/yr

AI/ML Engineer Job Location: Minnetonka, MN(Onsite) Job type: Full Time Salary Range: $100000 to ... Azure Databricks. This role is a strong individual contributor position, requiring deep hands on ...

Yantran LLC

Gen AI/ML Engineer

Plano, TX

Strong MLOps and production deployment experience using MLflow, Kubeflow, Airflow, Docker, Kubernetes, Azure ML, AWS SageMaker, or GCP Vertex AI. Should be capable of building real time AI/ML ...

Prabhav Services Inc

Data Engineer AI/ML Focus

Dallas, TX

$113K - $136K/yr

The Data Engineer with AI/ML expertise is responsible for designing, building, and optimizing ... Develop cloudnative data solutions using AWS (Glue, EMR, Lambda, Redshift) , Azure (ADF, Synapse ...

My3Tech Inc

Machine Learning Engineer

Denver, CO

This role will focus on improving existing Azure-based ML pipelines, developing new models, and supporting strategic data initiatives. Key Responsibilities: * Analyze, design, and deploy machine ...

VDart

AI/ML Lead Engineer

Chester, PA

$98K - $130K/yr

... Azure ML, or GCP AI Platform. • Build REST APIs or backend services using frameworks like Flask or FastAPI to integrate AI models into applications. • Collaborate with business stakeholders to ...

Paradigm

Manager, ML Ops Infrastructure

Denver, CO · Remote

$110K - $144K/yr

Experience working with Azure cloud services such as Azure ML, Azure OpenAI, Azure Databricks, GPU-accelerated compute (GPU VMs, AKS with GPU node pools). * Experience using infrastructure as code ...

Paradigm

Manager, ML Ops Infrastructure

Irving, TX · Remote

$110K - $144K/yr

Experience working with Azure cloud services such as Azure ML, Azure OpenAI, Azure Databricks, GPU-accelerated compute (GPU VMs, AKS with GPU node pools). * Experience using infrastructure as code ...

Paradigm

Manager, ML Ops Infrastructure

Seattle, WA · Remote

$110K - $144K/yr

Experience working with Azure cloud services such as Azure ML, Azure OpenAI, Azure Databricks, GPU-accelerated compute (GPU VMs, AKS with GPU node pools). * Experience using infrastructure as code ...

Paradigm

Manager, ML Ops Infrastructure

Middleton, WI · Remote

$110K - $144K/yr

Experience working with Azure cloud services such as Azure ML, Azure OpenAI, Azure Databricks, GPU-accelerated compute (GPU VMs, AKS with GPU node pools). * Experience using infrastructure as code ...

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Azure Ml information

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How much do azure ml jobs pay per hour?

As of Jun 13, 2026, the average hourly pay for azure ml in the United States is $58.40, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $65.62 per hour, depending on experience, location, and employer.

What is an Azure ML job?

An Azure ML job refers to a machine learning task executed within Microsoft Azure Machine Learning, a cloud-based platform for building, training, and deploying ML models. Jobs can include data preprocessing, model training, hyperparameter tuning, and inference deployment. Users can run jobs using compute resources such as Azure Machine Learning compute clusters or virtual machines. Jobs are typically orchestrated using Azure ML Pipelines, SDKs, or Studio for automation and reproducibility.

What are some typical daily tasks and responsibilities for someone working in an Azure ML role?

Professionals in Azure ML roles are typically responsible for designing and deploying machine learning models, pre-processing and analyzing large datasets, and monitoring model performance in Azure’s cloud environment. Daily tasks often include writing and optimizing code, integrating services and APIs, automating ML pipelines, and collaborating closely with data scientists, engineers, and business analysts. You may also be involved in troubleshooting production issues, conducting research to improve algorithms, and documenting your workflows. This role requires adaptability and good organizational skills to manage multiple projects in a dynamic, team-oriented setting.

What is the salary of Azure ML engineer?

The average salary of an Azure ML engineer typically ranges from $80,000 to $130,000 annually, depending on experience, location, and certifications. Professionals with skills in machine learning, cloud computing, and Azure services tend to earn higher salaries.

Is ML a high paying job?

Machine Learning (ML) roles, including positions like Azure ML Engineer, are generally considered high-paying within the tech industry due to the specialized skills required in data analysis, programming, and cloud platforms. Salaries vary based on experience, location, and certifications, but ML jobs tend to offer above-average compensation compared to many other IT roles.

Is Azure a high paying job?

Azure Machine Learning (Azure ML) professionals typically earn competitive salaries due to the specialized skills required in cloud computing, data science, and AI. Salaries vary based on experience, location, and certifications, but roles in Azure ML are generally well-compensated within the tech industry.

What can you do with Azure ML?

Azure ML is a platform for data scientists and machine learning engineers to build, train, and deploy machine learning models. It offers tools for data preparation, model development, and automation, supporting various programming languages and frameworks. Users can leverage cloud-based compute resources and integrate with other Azure services for scalable AI solutions.

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

To thrive as an Azure ML professional, you need a strong background in machine learning, data science, and programming (commonly Python or R), often supported by a relevant degree or certifications such as Microsoft Certified: Azure AI Engineer Associate. Experience with Azure Machine Learning Studio, cloud computing environments, workflow orchestration, and automation tools is essential. Effective communication, problem-solving abilities, and a collaborative mindset further distinguish top candidates. These skills are crucial to successfully designing, deploying, and managing scalable AI solutions on Azure's cloud platform while working effectively with data teams and stakeholders.

More about Azure Ml jobs
What cities are hiring for Azure Ml jobs? Cities with the most Azure Ml job openings:
What are the most commonly searched types of Azure Ml jobs? The most popular types of Azure Ml jobs are:
What states have the most Azure Ml jobs? States with the most job openings for Azure Ml jobs include:
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Azure Ml jobs near you
Infographic showing various Azure Ml job openings in the United States as of June 2026, with employment types broken down into 93% Full Time, 1% Part Time, and 6% Contract. Highlights an 78% Physical, 8% Hybrid, and 14% Remote job distribution, with an average salary of $121,476 per year, or $58.4 per hour.
AI/ML Platform Architect

AI/ML Platform Architect

Sonitalent LLC

Newark, NJ • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Job Title – AI/ML Platform Architect

Job Location Newark, NJ  -Onsite from day one - (May go to 3 days once onboarded) -Need to be local

Duration - 6 Months+

Visa  - Any Visa except H1B,CPT

Mode Of Interview -  Phone/Skype

Note – Need LinkedIn

 

Description

We are seeking an experienced AI/ML Platform Architect to define enterprise AI/ML architecture standards, MLOps frameworks, and GenAI integration patterns. This role focuses on building scalable AI platform blueprints, governance models, and reusable ML patterns—not developing individual ML models.

The ideal candidate will have deep expertise in MLOps, LLM/GenAI architectures, Responsible AI, and enterprise-scale ML platform design.

Role and Responsibilities

 

Enterprise AI/ML Architecture

  • Define enterprise ML platform reference architectures and standards
  • Design reusable MLOps frameworks, CI/CD pipelines, and model deployment templates
  • Establish model governance, lineage, monitoring, and observability standards
  • Create scalable model serving patterns for batch, streaming, and real-time inference
  • Define feature store and feature engineering standards

GenAI & LLM Enablement

  • Design enterprise GenAI/LLM integration patterns
  • Create RAG architecture templates and vector database standards
  • Define prompt engineering and LLM integration best practices

Responsible AI & Governance

  • Establish Responsible AI standards including:
  • Bias detection and mitigation
  • Model explainability

Ethical AI guidelines

  • Participate in AI governance and architecture review boards * Develop AI/ML platform modernization roadmap
  • Evaluate AI/ML technologies and recommend enterprise standards
  • Mentor architects, ML engineers, and data scientists on enterprise AI patterns

Core Skills & Qualifications

Experience

  • 7+ years in AI/ML, Data Science, or ML Architecture
  • 5+ years designing enterprise ML platforms and MLOps frameworks
  • Strong experience with production-scale ML deployments
  • Hands-on experience with GenAI, LLMs, and RAG architectures
  • Experience implementing Responsible AI and model governance frameworks

Technical Skills

  • ML Platforms: SageMaker, Azure ML, Vertex AI, Databricks
  • MLOps & Model Serving: MLflow, Kubeflow, Seldon, KFServing, TensorFlow Serving
  • GenAI & LLMs: RAG, Vector Databases, Prompt Engineering
  • Governance: Model monitoring, drift detection, lineage, explainability
  • Cloud & Containers: AWS/Azure/Google Cloud Platform, Kubernetes, Docker

Preferred Certifications

  • AWS/Azure/Google Cloud Platform AI/ML Certifications
  • TOGAF
  • MLOps Certification

Success Metrics

  • Standardize enterprise MLOps adoption across AI teams
  • Publish reusable AI/ML and GenAI architecture patterns
  • Improve governance and compliance for production ML models
  • Accelerate scalable and responsible AI adoption enterprise-wide
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About Sonitalent

Sourced by ZipRecruiter

Since 2018, Sonitalent Corp has been providing professional services to job seekers and employers. With our longevity, we’ve learned that staffing is not a numbers game — it’s a relationship-building business. That’s why we put an emphasis on listening, guiding and matching. With a team of top-notch employees, we offer tailor-made solutions to meet your needs. We work with leading organizations and businesses, and have developed a reputation as staffing experts.

Industry

Recruiting and staffing services

Headquarters location

Prospect, KY, US

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