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Azure Machine Learning Jobs (NOW HIRING)

ACI Infotech

Senior Azure Data Engineer

Atlanta, GA · On-site

$61 - $79.50/hr

Spark, PySpark, Apache NiFi, RServer Studio, Alteryx, Azure Machine Learning, Kubernetes, Apache Kafka, * Strong experience in scripting languages (Perl, JavaScript, Shell) * Well versed in ...

Domino's Pizza

Lead Machine Learning Engineer

Ann Arbor, MI · On-site

$100K - $132K/yr

Design, develop, deploy, and support production ML and AI solutions using Azure, Databricks, and ... Develop and operationalize machine learning and Generative AI solutions that support business ...

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Azure Machine Learning information

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How much do azure machine learning jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for azure machine learning in the United States is $70.48, according to ZipRecruiter salary data. Most workers in this role earn between $61.06 and $79.57 per hour, depending on experience, location, and employer.

What is Azure Machine Learning?

Azure Machine Learning is a cloud-based service provided by Microsoft that enables data scientists and developers to build, train, and deploy machine learning models efficiently. It offers a suite of tools for automating the machine learning lifecycle, including data preparation, model training, and deployment to production environments. Azure Machine Learning supports popular frameworks such as TensorFlow, PyTorch, and scikit-learn, and integrates with other Azure services for scalable and secure solutions.

What are the key skills and qualifications needed to thrive as an Azure Machine Learning engineer?

To thrive as an Azure Machine Learning Engineer, you need a strong background in data science, programming (Python or R), statistics, and machine learning concepts, often supported by a degree in computer science or a related field. Proficiency with Azure Machine Learning Studio, cloud platforms, and relevant certifications like Microsoft Certified: Azure AI Engineer Associate are typically required. Strong problem-solving abilities, communication skills, and the ability to work collaboratively with cross-functional teams are valuable soft skills. These skills ensure effective deployment and management of machine learning solutions that align with business objectives and operate efficiently in cloud environments.

What are the common challenges faced by professionals working with Azure Machine Learning, and how can they be addressed?

Professionals working with Azure Machine Learning often encounter challenges like integrating diverse data sources, managing computational resources efficiently, and ensuring model scalability in production environments. Collaboration with data engineers and DevOps teams is crucial to streamline data pipelines and automate deployment workflows. Staying current with Azure updates and best practices, as well as leveraging built-in tools like ML pipelines and version control, helps address these challenges and improves project outcomes.

What is the difference between Azure Machine Learning vs Data Scientist?

AspectAzure Machine LearningData Scientist
Required CredentialsAzure certifications, data science, machine learning skillsStatistics, programming, data analysis degrees
Work EnvironmentCloud platforms, AI/ML projects, collaboration toolsResearch, data analysis, modeling in various settings
Industry UsageTech, finance, healthcare using cloud-based ML solutionsBroad industry application including research and business

Azure Machine Learning specialists focus on deploying and managing ML models on Azure cloud, often requiring cloud certifications. Data Scientists analyze data, build models, and interpret results across industries. While both roles involve machine learning, Azure Machine Learning professionals specialize in cloud-based solutions, whereas Data Scientists focus on data analysis and model development in diverse environments.

More about Azure Machine Learning jobs

What states have the most Azure Machine Learning jobs?

States with the most job openings for Azure Machine Learning jobs include:

What job categories do people searching Azure Machine Learning jobs look for?

The top searched job categories for Azure Machine Learning jobs are:

What other helpful pages are available for Azure Machine Learning?

Other pages related to Azure Machine Learning:

Azure Machine Learning jobs near you
Infographic showing various Azure Machine Learning job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 23% Part Time, and 1% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $146,601 per year, or $70.5 per hour.

Senior Azure Data Engineer

Atlanta, GA • On-site

ACI Infotech
IT Services • 11 - 50 employees
Learn more about ACI Infotechexternal

$61 - $79.50/hr

Full-time

Re-posted 8 days ago

Job description

Greetings from ACI !
Full Time: Accepting H1B Transfers
Technical Skills
  • Expertise in SQL coding
  • Hands-on experience using Microsoft SQL Servers, Visual Studio, SQL Server Analysis Services (SSAS), SQL Server Integration Services (SSIS),
  • Experience writing Stored Procedures
  • Architect level experience leveraging Azure Storages: ADLS Gen2-Blobs, Containers,
  • Architect level experience leveraging Azure Data Ingestion tools: Azure Data Factory (ADF), Azure Event Hubs, Azure IoT Hubs, Azure Event Grid
  • Architect level experience using Azure Data Prep/Train tools: Azure Databricks (ADB), Azure Stream Analytics,
  • Developer experience using Azure Databases: SQL databases, SQL servers, Azure Synapse Analytics, Azure SQL, Dedicated SQL Pools, SQL Elastic Pools, etc.,
  • Experience using Azure DevOps: Repos, CI/CD Pipelines, Test Plans,
  • Strong experience with NoSQL implementation (Mongo, Cassandra, Cosmos)
  • Hands-on experience using Big Data technologies likes: Spark, PySpark, Apache NiFi, RServer Studio, Alteryx, Azure Machine Learning, Kubernetes, Apache Kafka,
  • Strong experience in scripting languages (Perl, JavaScript, Shell)
  • Well versed in Programming languages like Python, Scala, R, Java, SQL, etc.,
  • Experience with UNIX/Linux including basic commands and shell scripting
  • Experience with any of the following message / file formats: Parquet, Avro, ORC Protobuf
  • Experience with version control systems like Git
  • Strong experience building BI reports, data visualizations using Microsoft Power BI

Qualifications
  • Master's or Bachelor's Degree with coursework focused on Data & Analytics, Data Science, Data Engineering, advanced algorithms, mathematics in computing, data structures, etc.
  • Minimum 10 years of experience in the IT function
  • Minimum 7 years of experience working on Data and Analytics projects
  • Minimum 5 years of experience working on Advanced Analytics projects leveraging Artificial Intelligence and Machine Learning concepts
  • Minimum 5 years of experience working on Cloud Platforms (Azure, AWS, GCP etc.) and any Cloud certifications (e.g. Azure Data Engineer Associate Certification) preferred
  • Minimum 3 years of experience working on Data projects in an Agile environment and good to have any Agile (SAFe, ACP, CSM, CSPO, etc.) certifications
  • Good to have previous Convenience Store/Petroleum industry experience
  • Good to have previous Marketing, Loyalty, Digital Guest Experience Business domain knowledge

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