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Mlops Data Engineer Jobs in Rochester, MI (NOW HIRING)

Detroit Tigers

Cloud Data Engineer

Detroit, MI · On-site +1

$113K - $136K/yr

The Detroit Tigers are seeking a Cloud Data Engineer, Baseball Systems. This role will be ... Build and maintain MLOps infrastructure to support the deployment, monitoring, and retraining of ...

Detroit Tigers

Cloud Data Engineer

Detroit, MI · On-site

$113K - $136K/yr

The Detroit Tigers are seeking a Cloud Data Engineer, Baseball Systems. This role will be ... Build and maintain MLOps infrastructure to support the deployment, monitoring, and retraining of ...

Deloitte

AI Data Engineer - Manager

Detroit, MI

$113K - $136K/yr

AI Data Engineer - Manager Our Human Capital practice is at the forefront of transforming the ... Understand and contribute to MLOps and LLMOps, focusing on operational capabilities and ...

Deloitte

AI Data Engineer - Senior Consultant

Detroit, MI · Hybrid

$103K - $142K/yr

You will work with an AI Data Engineer (data ingestion, curation, governance, platform foundations ... Contribute to MLOps/LLMOps and production operations (versioning, reproducibility, CI/CD, automated ...

Deloitte

AI Engineer Senior Consultant

Detroit, MI · Hybrid

$103K - $142K/yr

... and HR data domains. * 4+ years of experience operationalizing LLMOps/MLOps capabilities ... AI Engineer Senior Consultant Our Deloitte Human Capital team transforms technology platforms ...

company826

AI/ML and Data Engineer

Southfield, MI · On-site +1

$104K - $125K/yr

Establish and mature MLOps/LLMOps practices, including CI/CD, model and prompt versioning ... Extensive data engineering experience, including pipeline development, database design, and ...

Deloitte

AI Engineer III

Detroit, MI · Hybrid

... and HR data domains. * 4+ years of experience operationalizing LLMOps/MLOps capabilities ... AI Engineer III Position Summary Our Deloitte Human Capital team transforms technology platforms ...

Deloitte

AI Engineer Consultant

Detroit, MI · Hybrid

... and HR data domains. * 2+ years of experience operationalizing LLMOps/MLOps capabilities ... We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that ...

SME

AI/ML and Data Engineer

Southfield, MI

$104K - $125K/yr

Establish and mature MLOps/LLMOps practices, including CI/CD, model and prompt versioning ... Provide executive-level advisory services on AI adoption and data modernization, tailoring ...

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Mlops Data Engineer information

See Rochester, MI salary details

$41K

$119.4K

$163.4K

How much do mlops data engineer jobs pay per year?

As of Jun 5, 2026, the average yearly pay for mlops data engineer in Rochester, MI is $119,398.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,400.00 and $126,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an MLOps Data Engineer, and why are they important?

To thrive as an MLOps Data Engineer, you need a strong background in data engineering, machine learning workflows, and software development, usually supported by a degree in computer science or a related field. Expertise with cloud platforms (such as AWS, GCP, or Azure), CI/CD pipelines, containerization tools (like Docker and Kubernetes), and familiarity with orchestration frameworks are typically required, along with certifications in cloud or data engineering. Strong problem-solving abilities, collaboration, and clear communication set professionals apart in this role. These skills and qualities are critical to efficiently deploying scalable machine learning solutions and ensuring smooth collaboration between data science and engineering teams.

What are some common challenges MLOps Data Engineers face when deploying machine learning models into production?

MLOps Data Engineers often encounter challenges such as ensuring seamless integration between data pipelines and model serving infrastructure, managing consistent data quality, and automating model retraining and monitoring. Another common hurdle is maintaining scalability and reliability as data volumes grow, and efficiently collaborating with data scientists, software engineers, and DevOps teams. Addressing these challenges requires strong communication skills, familiarity with cloud platforms, and a proactive approach to troubleshooting and automation.

What are MLOps Data Engineers?

MLOps Data Engineers are professionals who blend expertise in machine learning (ML), operations (Ops), and data engineering to streamline the deployment and management of ML models in production environments. They design and maintain data pipelines, automate workflows, and ensure the scalability, reliability, and reproducibility of machine learning systems. Their role bridges the gap between data scientists and IT operations, enabling seamless integration of ML models into real-world applications.

What is the difference between Mlops Data Engineer vs Data Scientist?

AspectMlops Data EngineerData Scientist
Required SkillsMachine learning deployment, cloud platforms, scripting, data pipelinesStatistical analysis, programming, data visualization, machine learning modeling
CertificationsCloud certifications, ML engineering coursesData science certifications, statistical courses
Work EnvironmentData pipelines, cloud infrastructure, ML deployment systemsData analysis, modeling, research environments
Industry UsageTech companies, AI-focused firms, cloud service providersResearch institutions, analytics firms, tech companies

The main difference between an Mlops Data Engineer and a Data Scientist lies in their focus areas. Mlops Data Engineers specialize in deploying, maintaining, and scaling machine learning models within production environments, emphasizing infrastructure and automation. Data Scientists primarily focus on analyzing data, building models, and deriving insights. Both roles require strong technical skills, but their day-to-day tasks and career paths differ significantly.

What are popular job titles related to Mlops Data Engineer jobs in Rochester, MI? For Mlops Data Engineer jobs in Rochester, MI, the most frequently searched job titles are:
What job categories do people searching Mlops Data Engineer jobs in Rochester, MI look for? The top searched job categories for Mlops Data Engineer jobs in Rochester, MI are:
What cities near Rochester, MI are hiring for Mlops Data Engineer jobs? Cities near Rochester, MI with the most Mlops Data Engineer job openings:
Mlops Data Engineer jobs near you
Cloud Data Engineer

Cloud Data Engineer

Detroit Tigers

Detroit, MI • On-site, Remote

$113K - $136K/yr

Full-time

Posted 16 days ago

Job description

Job Summary: The Detroit Tigers are seeking a Cloud Data Engineer, Baseball Systems. This role will be responsible for designing, managing, and automating data processes across our data architecture to support Baseball Operations initiatives, including the deployment and operationalization of machine learning models. This position will report to the Manager, Baseball Systems Data.

Key Responsibilities:

  • Design, implement, and maintain our data architecture and processing pipelines at scale.
  • Design, implement, and use data quality assurance frameworks to support the process of identifying inconsistent data patterns.
  • Collaborate with Tigers data engineers and data scientists to implement good data hygiene practices and procedures in our data processes.
  • Work with external data vendors to triage and remedy data quality issues.
  • Automate and execute test cases in data pipelines and manage data issue tracking.
  • Build and maintain MLOps infrastructure to support the deployment, monitoring, and retraining of machine learning models in production.
  • Partner with data scientists to productionize models, ensuring reproducibility, scalability, and reliability across the ML lifecycle.

Minimum Knowledge, Skills and Abilities:

  • Proficiency building data processing pipelines using SQL and Python.
  • Experience with cloud computing, cloud storage, and cloud services.
  • Experience with cloud-based data lakes, data warehouses, and related tooling.
  • Strong understanding of data strategies and practices, such as continuous integration, regression testing, and versioning.
  • Experience building, maintaining, and querying SQL data warehouses built for data science and analytics.
  • Familiarity with MLOps concepts and tooling, including model serving, monitoring, and pipeline orchestration.

Preferred Knowledge, Skills and Abilities:

  • Understanding of data quality frameworks and best practices for implementation.
  • Familiarity with baseball and with current baseball research.
  • Experience using Apache Spark (Databricks on Azure preferred).
  • Experience with Airflow or similar workflow orchestration tools.
  • Effective communication skills with an ability to explain technical concepts to developers and business partners.
  • Experience with DevOps and MLOps practices for CI/CD pipelines, including model versioning and experiment tracking.
  • Experience working with containers and container deployment, including containerized model serving.
  • Familiarity with open-source data quality frameworks.

Working Conditions:

  • Office environment.
  • The location may be based in Detroit or fully remote.
  • Occasional evening, weekend, and holiday hours are required.

All items listed above are illustrative and not comprehensive. They are not contractual in nature and are subject to change at the discretion of Detroit Tigers.


Detroit Tigersis an Equal Employment Opportunity employer. All qualified applicants will receive consideration for employment without regards to that individual's race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender identity, age, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law.


The Company will strive to provide reasonable accommodations to permit qualified applicants who have a need for an accommodation to participate in the hiring process (e.g., accommodations for a job interview) if so requested.

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