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

Deloitte

AI Engineer Consultant

Detroit, MI · Hybrid

... and HR data domains. * 2+ years of experience operationalizing LLMOps/MLOps capabilities ... AI Engineer Consultant Our Deloitte Human Capital team transforms technology platforms, drives ...

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Manager, Data Engineering

Detroit, MI · On-site

$160K - $190K/yr

Ability to create working environments for data engineers and scientists, and general knowledge of ML, AI, LLMs, and MLOps * Knowledge and familiarity with Microsoft Purview * DevOps for data, GitHub ...

Denso

Data Scientist 2

Southfield, MI

$90K - $113K/yr

Understanding of MLOps practices, including model deployment, monitoring, retraining, and lifecycle management. * Familiarity with data modeling, feature engineering, and analytics pipelines.

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Manager, Data Engineering

Detroit, MI · On-site

$160K - $190K/yr

Ability to create working environments for data engineers and scientists, and general knowledge of ML, AI, LLMs, and MLOps * Knowledge and familiarity with Microsoft Purview * DevOps for data, GitHub ...

Denso

Data Scientist 2

Southfield, MI · On-site

$90K - $113K/yr

Understanding of MLOps practices, including model deployment, monitoring, retraining, and lifecycle management. * Familiarity with data modeling, feature engineering, and analytics pipelines.

Reply

Manager, Data Engineering

Detroit, MI · On-site

$160K - $190K/yr

Ability to create working environments for data engineers and scientists, and general knowledge of ML, AI, LLMs, and MLOps * Knowledge and familiarity with Microsoft Purview * DevOps for data, GitHub ...

Deloitte

Forward Deployed Engineer- AWS

Detroit, MI · On-site

Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation * Experience with MLOps/LLMOps ...

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All JobsMlops Data Engineer JobsMlops Data Engineer Jobs in Rochester, MI

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 9, 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 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 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 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
Warranty Data Analyst / Data Scientist

Warranty Data Analyst / Data Scientist

Stellantis

Auburn Hills, MI • On-site

Full-time

Posted 17 days ago

Stellantis rating

7.4

Company rating: 7.4 out of 10

Based on 124 frontline employees who took The Breakroom Quiz

17th of 44 rated automakers

Job description

Job Summary:
Stellantis is a global automotive company seeking a strategic and hands-on Data Scientist to support Warranty Analytics and Programs within their North America quality team. The role involves leading AI programs, collaborating with stakeholders, and applying statistical analysis to drive product quality and customer satisfaction through predictive analytics.
Responsibilities:
• Lead and coordinate cross-functional AI programs from concept to deployment, ensuring alignment with business goals and timelines
• Collaborate with other data scientists, engineers, and business stakeholders to define and prioritize program objectives
• Apply statistical analysis and machine learning techniques to solve business and operational problems
• Partner with business stakeholders to understand requirements and translate them into analytical solutions
• Translate business needs into actionable AI use cases and technical requirements
• Build and deploy predictive models to forecast warranty claims, failure rates, and cost trends
• Ensure data quality, lineage, documentation, and compliance with governance requirements
• Create dashboards and analytical outputs that drive insight adoption and operational impact
• Collaborate with business data engineers, and platform teams on scalability, performance, and best practices
Qualifications:
Required:
• Bachelor’s degree in Data Science, Statistics, Engineering, Computer Science, or related field
• 5+ years experience as Data Scientist, Advanced Analyst, or similar role
• Strong proficiency in Python, SQL, PySpark and visualization tools (e.g., Power BI, Foundry Workshop)
• Solid understanding of statistics, exploratory data analysis, and applied machine learning
• Experience working with large, complex datasets in enterprise environments
• Ability to communicate analytical findings clearly to technical and non‑technical audiences
• Proven experience delivering end‑to‑end analytics or data science solutions into production
• Experience with one or two data and cloud platforms (e.g., Palantir Foundry, Snowflake, Databricks AWS, Azure, GCP)
• Strong communication and stakeholder engagement skills
Preferred:
• Familiarity with data modeling, semantic layers, and enterprise data platforms
• Industry experience in automotive and manufacturing
• Exposure to MLOps concepts, model deployment, or monitoring
• Hands-on experience with Palantir Foundry, Snowflake Intelligence
• Master’s degree in Data Science, Statistics, Engineering, Computer Science, or related field
Company:
Stellantis is an Franco-Italian-American automotive holding company that manufactures automobiles. Founded in 2021, the company is headquartered in Hoofddorp, NLD, with a team of 10001+ employees. The company is currently Late Stage.

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