Detroit, MI · On-site
$55.25 - $73.75/hr
Experience supporting enterprise analytics, ETL, Snowflake, or modern data engineering ecosystems Experience supporting AI/ML or advanced analytics infrastructure environments Azure and/or Databricks ...
Detroit, MI · On-site
$55.25 - $73.75/hr
Experience supporting enterprise analytics, ETL, Snowflake, or modern data engineering ecosystems Experience supporting AI/ML or advanced analytics infrastructure environments Azure and/or Databricks ...
Warren, MI · On-site
$195K - $298K/yr
... Engineering Center Podium or Mountain View Technical Center , CA at least three times per week, at ... We're proud to serve as the AI infrastructure platform for teams developing autonomous vehicles (L3 ...
Warren, MI · On-site
$195K - $298K/yr
... Engineering Center Podium or Mountain View Technical Center , CA at least three times per week, at ... We're proud to serve as the AI infrastructure platform for teams developing autonomous vehicles (L3 ...
Detroit, MI · Hybrid
Partner with engineers on simulation, ML, and backend teams to scale infrastructure * Monitor and tune system performance under high computational loads What We're Looking For Minimum Qualifications ...
Detroit, MI · Hybrid
Partner with engineers on simulation, ML, and backend teams to scale infrastructure * Monitor and tune system performance under high computational loads What We're Looking For Minimum Qualifications ...
Dearborn, MI · On-site
$48.50 - $66.50/hr
ML Ops Engineer Duration: Long-Term Contract Location: Hybrid - 4 days/week onsite Description ... Manage and maintain data platform infrastructure using Terraform and CI/CD pipelines * Enhance ...
Dearborn, MI · On-site
$48.50 - $66.50/hr
ML Ops Engineer Duration: Long-Term Contract Location: Hybrid - 4 days/week onsite Description ... Manage and maintain data platform infrastructure using Terraform and CI/CD pipelines * Enhance ...
Overview We're seeking a Machine Learning Engineer to help design, build, and maintain production ... Build and maintain ML infrastructure using modern MLOps practices and tools (e.g., MLflow, Kubeflow ...
Overview We're seeking a Machine Learning Engineer to help design, build, and maintain production ... Build and maintain ML infrastructure using modern MLOps practices and tools (e.g., MLflow, Kubeflow ...
Overview We're seeking a Machine Learning Engineer to help design, build, and maintain production ... Build and maintain ML infrastructure using modern MLOps practices and tools (e.g., MLflow, Kubeflow ...
Overview We're seeking a Machine Learning Engineer to help design, build, and maintain production ... Build and maintain ML infrastructure using modern MLOps practices and tools (e.g., MLflow, Kubeflow ...
Ann Arbor, MI · On-site
$161 - $193/hr
What You'll Need to Succeed * BS or MS in Computer Science, Engineering, or a related field, with 5+ years of software engineering experience, including production data pipeline or ML infrastructure ...
Ann Arbor, MI · On-site
$161 - $193/hr
What You'll Need to Succeed * BS or MS in Computer Science, Engineering, or a related field, with 5+ years of software engineering experience, including production data pipeline or ML infrastructure ...
You will partner with Data Engineering, Data Science, Architecture, Infrastructure, Security, and ... Provide technical leadership for AI/ML platforms including Palantir, AWS Bedrock, Amazon SageMaker ...
You will partner with Data Engineering, Data Science, Architecture, Infrastructure, Security, and ... Provide technical leadership for AI/ML platforms including Palantir, AWS Bedrock, Amazon SageMaker ...
You will partner with Data Engineering, Data Science, Architecture, Infrastructure, Security, and ... Provide technical leadership for AI/ML platforms including Palantir, AWS Bedrock, Amazon SageMaker ...
You will partner with Data Engineering, Data Science, Architecture, Infrastructure, Security, and ... Provide technical leadership for AI/ML platforms including Palantir, AWS Bedrock, Amazon SageMaker ...
Backend & Infrastructure * Develop and maintain high-performance Python or Go microservices that ... Required Qualification * 4+ years of experience in AI/ML or data engineering roles, with a proven ...
Backend & Infrastructure * Develop and maintain high-performance Python or Go microservices that ... Required Qualification * 4+ years of experience in AI/ML or data engineering roles, with a proven ...
Backend & Infrastructure * Develop and maintain high-performance Python or Go microservices that ... Required Qualification * 4+ years of experience in AI/ML or data engineering roles, with a proven ...
Backend & Infrastructure * Develop and maintain high-performance Python or Go microservices that ... Required Qualification * 4+ years of experience in AI/ML or data engineering roles, with a proven ...
Southfield, MI · On-site
... with engineering to drive efficient resource utilization. * Oversees AI infrastructure and ensuring optimal performance of AI/ML (Artificial Intelligence/Machine Learning) workloads in cloud ...
Southfield, MI · On-site
... with engineering to drive efficient resource utilization. * Oversees AI infrastructure and ensuring optimal performance of AI/ML (Artificial Intelligence/Machine Learning) workloads in cloud ...
You should be comfortable partnering closely with engineering, infrastructure, data, finance, and ... Deeply understand the end-to-end ML training lifecycle, including dataselection, dataset ...
You should be comfortable partnering closely with engineering, infrastructure, data, finance, and ... Deeply understand the end-to-end ML training lifecycle, including dataselection, dataset ...
... with engineering to drive efficient resource utilization. * Oversees AI infrastructure and ensuring optimal performance of AI/ML (Artificial Intelligence/Machine Learning) workloads in cloud ...
... with engineering to drive efficient resource utilization. * Oversees AI infrastructure and ensuring optimal performance of AI/ML (Artificial Intelligence/Machine Learning) workloads in cloud ...
Southfield, MI · On-site
$120 - $150/hr
... with engineering to drive efficient resource utilization. * Oversees AI infrastructure and ensuring optimal performance of AI/ML (Artificial Intelligence/Machine Learning) workloads in cloud ...
Southfield, MI · On-site
$120 - $150/hr
... with engineering to drive efficient resource utilization. * Oversees AI infrastructure and ensuring optimal performance of AI/ML (Artificial Intelligence/Machine Learning) workloads in cloud ...
... with engineering to drive efficient resource utilization. * Oversees AI infrastructure and ensuring optimal performance of AI/ML (Artificial Intelligence/Machine Learning) workloads in cloud ...
... with engineering to drive efficient resource utilization. * Oversees AI infrastructure and ensuring optimal performance of AI/ML (Artificial Intelligence/Machine Learning) workloads in cloud ...
Ann Arbor, MI · On-site
$161 - $193/hr
Stay up to date with the latest developments in offline perception, data pipeline engineering, and ML data infrastructure for autonomous driving. * Independently develop tools, services, and ...
Ann Arbor, MI · On-site
$161 - $193/hr
Stay up to date with the latest developments in offline perception, data pipeline engineering, and ML data infrastructure for autonomous driving. * Independently develop tools, services, and ...
You will work alongside data scientists and full-stack engineers to deliver AI-powered solutions across internal tooling, customer-facing features, and the supporting data/ML infrastructure. The team ...
You will work alongside data scientists and full-stack engineers to deliver AI-powered solutions across internal tooling, customer-facing features, and the supporting data/ML infrastructure. The team ...
Ann Arbor, MI · On-site +1
$119K - $158K/yr
Stay up to date with the latest developments in offline perception, data pipeline engineering, and ML data infrastructure for autonomous driving. * Independently develop tools, services, and ...
Ann Arbor, MI · On-site +1
$119K - $158K/yr
Stay up to date with the latest developments in offline perception, data pipeline engineering, and ML data infrastructure for autonomous driving. * Independently develop tools, services, and ...
... engineering Comfort with experiment tracking, model versioning, and reproducible research practices (MLflow, W&B, DVC, or similar) Familiarity with cloud-based ML infrastructure (AWS SageMaker, GCP ...
... engineering Comfort with experiment tracking, model versioning, and reproducible research practices (MLflow, W&B, DVC, or similar) Familiarity with cloud-based ML infrastructure (AWS SageMaker, GCP ...
$40.5K - $51.3K
1% of jobs
$51.3K - $62K
1% of jobs
$62K - $72.7K
4% of jobs
$72.7K - $83.5K
9% of jobs
$83.5K - $94.2K
10% of jobs
$94.8K is the 25th percentile. Wages below this are outliers.
$94.2K - $104.9K
10% of jobs
The median wage is $109.3K / yr.
$104.9K - $115.7K
39% of jobs
$118K is the 75th percentile. Wages above this are outliers.
$115.7K - $126.4K
7% of jobs
$126.4K - $137.2K
10% of jobs
$137.2K - $147.9K
9% of jobs
$147.9K - $158.6K
1% of jobs
$40.5K
$110.8K
$158.6K
| Aspect | ML Infrastructure Engineer | Data Engineer |
|---|---|---|
| Required Credentials | Bachelor's/Master's in CS, experience with cloud platforms, scripting, and ML tools | Bachelor's/Master's in CS, experience with databases, ETL, and data pipelines |
| Work Environment | Focus on deploying and maintaining ML systems, cloud infrastructure, and automation | Designing and building data pipelines, managing large datasets, and data storage |
| Employer & Industry Usage | Tech companies, AI startups, research labs | Finance, healthcare, e-commerce, and data-driven industries |
The ML Infrastructure Engineer specializes in building and maintaining the infrastructure that supports machine learning models, focusing on deployment, scalability, and automation. In contrast, Data Engineers primarily develop data pipelines and manage large datasets to enable data analysis and business intelligence. Both roles require strong technical skills and often overlap, but their core focus areas differ significantly.
For Ml Infrastructure Engineer jobs in Michigan, the most frequently searched job titles are:
The top searched job categories for Ml Infrastructure Engineer jobs in Michigan are:
Cities in Michigan with the most Ml Infrastructure Engineer job openings:
$55.25 - $73.75/hr
Full-time
Re-posted 12 days ago
Design, build, and support Azure cloud infrastructure and Databricks platform environments for enterprise clients
Implement Azure landing zones, networking, security controls, and scalable cloud architecture solutions across development, test, and production environments
Develop infrastructure as code solutions using Terraform, Bicep, and ARM templates, and automate deployments through Azure DevOps or GitHub Actions
8.2
Based on 93 frontline employees who took The Breakroom Quiz
47th of 154 rated financial services
Join Deloitte's AI & Engineering practice and help organizations modernize enterprise cloud and data platforms on Azure. As an Azure/Databricks Infrastructure Engineer, you will design, implement, and optimize secure, scalable Azure and Databricks environments that support analytics, AI, and enterprise data transformation. This role combines cloud infrastructure engineering, platform delivery, and architecture execution to help clients accelerate modernization and improve operational performance.
This role supports enterprise clients across cloud modernization, data platform transformation, analytics enablement, and operational optimization initiatives.
Recruiting for this role ends on 09/01/2026.
Work You'll DoAs an Azure/Databricks Infrastructure Engineer III on the AI & Engineering team, you will be responsible for...
Our AI & Engineering practice delivers enterprise solutions across cloud infrastructure, data platforms, analytics, AI enablement, and digital transformation initiatives. We help organizations modernize legacy environments, optimize cloud operations, and scale secure, intelligent platforms that drive business value.
In this role, you will work at the intersection of cloud infrastructure, platform engineering, analytics modernization, DevOps automation, and enterprise data transformation.
Required:
Bachelor's degree in Computer Science, Engineering, Information Systems, Analytics, or related field
4+ years of experience in Azure cloud infrastructure, platform engineering, or enterprise transformation delivery
Strong hands-on experience with Azure networking, Landing Zones, cloud architecture, and infrastructure deployment
Experience administering and supporting Databricks environments including Unity Catalog, governance, and cluster management
Experience implementing Infrastructure as Code (Terraform, Bicep, ARM)
Experience developing and supporting CI/CD pipelines using Azure DevOps or GitHub Actions
Strong understanding of cloud security, networking, governance, and enterprise platform operations
Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
Limited immigration sponsorship may be available.
Preferred:
Experience supporting enterprise analytics, ETL, Snowflake, or modern data engineering ecosystems
Experience supporting AI/ML or advanced analytics infrastructure environments
Azure and/or Databricks certifications preferred
Experience working across hybrid cloud or enterprise modernization initiatives
Consulting experience supporting large-scale transformation programs
Wages + Salary
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $116,200 to $229,100.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Join Deloitte's AI & Engineering practice and help organizations modernize enterprise cloud and data platforms on Azure. As an Azure/Databricks Infrastructure Engineer, you will design, implement, and optimize secure, scalable Azure and Databricks environments that support analytics, AI, and enterprise data transformation. This role combines cloud infrastructure engineering, platform delivery, and architecture execution to help clients accelerate modernization and improve operational performance.
This role supports enterprise clients across cloud modernization, data platform transformation, analytics enablement, and operational optimization initiatives.
Recruiting for this role ends on 09/01/2026.
Work You'll DoAs an Azure/Databricks Infrastructure Engineer III on the AI & Engineering team, you will be responsible for...
Our AI & Engineering practice delivers enterprise solutions across cloud infrastructure, data platforms, analytics, AI enablement, and digital transformation initiatives. We help organizations modernize legacy environments, optimize cloud operations, and scale secure, intelligent platforms that drive business value.
In this role, you will work at the intersection of cloud infrastructure, platform engineering, analytics modernization, DevOps automation, and enterprise data transformation.
Required:
Bachelor's degree in Computer Science, Engineering, Information Systems, Analytics, or related field
4+ years of experience in Azure cloud infrastructure, platform engineering, or enterprise transformation delivery
Strong hands-on experience with Azure networking, Landing Zones, cloud architecture, and infrastructure deployment
Experience administering and supporting Databricks environments including Unity Catalog, governance, and cluster management
Experience implementing Infrastructure as Code (Terraform, Bicep, ARM)
Experience developing and supporting CI/CD pipelines using Azure DevOps or GitHub Actions
Strong understanding of cloud security, networking, governance, and enterprise platform operations
Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
Limited immigration sponsorship may be available.
Preferred:
Experience supporting enterprise analytics, ETL, Snowflake, or modern data engineering ecosystems
Experience supporting AI/ML or advanced analytics infrastructure environments
Azure and/or Databricks certifications preferred
Experience working across hybrid cloud or enterprise modernization initiatives
Consulting experience supporting large-scale transformation programs
Wages + Salary
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $116,200 to $229,100.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
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Finance and insurance and business management consulting
10,000+ Employees
Orlando, FL, US
