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Azure Ml Jobs in Michigan (NOW HIRING)

Data & AI Architect

Grand Rapids, MI · On-site

$61.25 - $78.75/hr

... Azure, AWS, and Google Cloud, along with strong knowledge of data modeling, governance, data integration, and AI/ML enablement. Key Responsibilities Enterprise Data Architecture * Define and maintain ...

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 containerized services. * Build reusable frameworks, APIs, deployment patterns, and automation ...

Showing results 21-40

Azure Ml information

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$9

$50

$69

How much do azure ml jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for azure ml in Michigan is $50.90, according to ZipRecruiter salary data. Most workers in this role earn between $46.11 and $57.21 per hour, depending on experience, location, and employer.

What is an Azure ML?

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 does an Azure ML do?

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 are the key skills and qualifications needed to thrive in the Azure ML position?

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.

What are popular job titles related to Azure Ml jobs in Michigan?

For Azure Ml jobs in Michigan, the most frequently searched job titles are:

Infographic showing various Azure Ml job openings in Michigan as of August 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution, with an average salary of $105,878 per year, or $50.9 per hour.

Principal AI/ML Engineer (Cybersecurity & AIOps)

Ford Motor Company

Dearborn, MI • On-site

$132K - $250K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 10 days ago


Ford Motor Company rating

7.6

Company rating: 7.6 out of 10

Based on 527 frontline employees who took The Breakroom Quiz

11th of 45 rated automakers


Job description


The Principal Engineer - AIOps role at EPEO requires 12+ years of experience in AI/ML and software engineering with strong skills in Python, SQL, and cloud platforms. This position focuses on designing and deploying advanced AI/ML solutions for Security (Cyber & Identity Management) , network analytics, enterprise risk detection and thus strengthening the security posture across Ford skill teams such as ET , Credit , Ford Pro ,AV , EV , Industrial systems ,Ford PDO's etc.
As a Principal AI Engineer, you will serve as a strategic technical leader responsible for the vision, architecture, and execution of AI/ML initiatives across the enterprise. You will bridge the gap between complex data science and mission-critical security operations, designing intelligent systems that detect risks, optimize network performance, and automate threat response. This is a high-impact leadership role requiring a blend of hands-on engineering excellence, architectural oversight, and the ability to influence cross-functional stakeholders.
Responsibilities
  • Lead the design, development, and deployment of advanced AI/ML solutions focused on cybersecurity, network analytics, and enterprise risk detection.
  • Build and operationalize machine learning models, including anomaly detection, predictive analytics, and classification systems for security and network use cases.
  • Drive the implementation of Generative AI and Agentic AI solutions to enhance automation, threat intelligence, and decision-making workflows.
  • Collaborate with cybersecurity, network engineering, and IAM teams to identify opportunities for AI-driven optimization and risk mitigation.
  • Architect end-to-end ML pipelines, ensuring scalability, reliability, and integration with enterprise systems.
  • Work hands-on with data-ingestion, preprocessing, feature engineering, and model tuning-to deliver production-grade solutions.
  • Translate complex technical outcomes into business insights using dashboards and visualizations (e.g., Power BI) for stakeholders and leadership.

Qualifications
  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field
  • 8+ years of experience in software engineering, data science, or AI/ML solution delivery
  • Proven experience in designing, building, and deploying scalable AI/ML solutions in enterprise environments
  • Strong programming skills in Python and proficiency in SQL
  • Hands-on experience in machine learning model development, evaluation, and deployment
  • Working knowledge of cybersecurity concepts, network architectures, and Identity & Access Management (IAM)
  • Experience with data visualization tools such as Power BI (or equivalent)
  • Familiarity with Agile tools such as JIRA
  • Exposure to cloud platforms (Azure, AWS, or GCP) and MLOps practices
  • Strong problem-solving, stakeholder management, and communication skills

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!
As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder...or all of the above? No matter what you choose, we offer a work life that works for you, including:
• Immediate medical, dental, vision and prescription drug coverage
• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
• Vehicle discount program for employees and family members and management leases
• Tuition assistance
• Established and active employee resource groups
• Paid time off for individual and team community service
• A generous schedule of paid holidays, including the week between Christmas and New Year's Day
• Paid time off and the option to purchase additional vacation time.
This position is leadership level 6 and ranges from $132,800-$250,800.
Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value.
For more information on salary and benefits, click here: https://fordcareers.co/LL6
Visa sponsorship is available for this position.
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.
This position is hybrid. Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week.
#LI-Hybrid
#LI-GR1
About Us
At Ford Motor Company, we believe freedom of movement drives human progress. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career and help us define tomorrow's transportation.
About the Team
We believe that freedom of movement drives human progress. Ford Information Technology (IT) is shaping the future of mobility by redefining the transportation landscape, enhancing the customer experience and improving people's lives. Join the Ford family as we change the way the world moves.

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