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Data Engineer Ml Jobs in Michigan (NOW HIRING)

Senior Robotics Data Engineer - Only W2

Warren, MI · On-site

$99K - $135K/yr

Senior Robotics Data Engineer (ML/AI systems, Python, TensorFlow and/or PyTorch, Power BI, Azure data services) Key Responsibilities: · Design and implement scalable data pipelines for large-scale ...

Sr. Data Engineer

Ann Arbor, MI · On-site

$103K - $140K/yr

ML engineers own the features and models built on top of it. The training and monitoring layer is shared ground you design together. Qualifications : Required : • 4+ years in data engineering or a ...

$104K - $125K/yr

... AI/ML applications. This position is ideal for a hands-on Data Engineer who has strong Python and ... SQL fundamentals and is interested in growing within modern data platforms, manufacturing data, and ...

AI Data Engineer

Detroit, MI

$113K - $136K/yr

Collaborate with data scientists and ML engineers to prepare, integrate, and manage large-scale datasets for model training and deployment. * Manage real-time data: Develop streaming data pipelines ...

Data Engineer

Auburn Hills, MI

$108K - $130K/yr

Implements monitoring and alerting for data pipelines and ML models to proactively identify and ... Mentors junior data engineers and provide technical guidance on best practices, including MLOps ...

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Implements monitoring and alerting for data pipelines and ML models to proactively identify and ... Mentors junior data engineers and provide technical guidance on best practices, including MLOps ...

$104K - $125K/yr

... AI/ML initiatives across a global organization. What is your role? As a Lead Data Engineer, you ... will serve as a senior individual contributor responsible for defining technical direction, leading ...

$104K - $125K/yr

... ML applications across a global organization. What is your role? As a Senior Data Engineer, you ... will design, build, optimize, and maintain scalable data pipelines, curated datasets, and cloud ...

Sr. Data Engineer

Ann Arbor, MI · On-site

$140K - $200K/yr

ML engineers own the features and models built on top of it. The training and monitoring layer is shared ground you design together. Desired Qualifications * 4-8+ years in data engineering or a ...

Data Engineer

Dearborn, MI

$105K - $127K/yr

Would you love to accelerate our efforts in implementing advanced physics and ML Models in production? The Data Engineer role resides within the Ford's Electric Vehicle organization. In this role ...

Senior Data Engineer

Detroit, MI · On-site

$97K - $131K/yr

AI/ML exposure: Experience enabling AI/ML pipelines or feature datasets; familiarity with ML lifecycle concepts, feature engineering, or MLOps tools/processes. * Experience with data governance ...

Data Engineer

Warren, MI · On-site

$45 - $50/hr

... rules engines, and ai/ml and most web technologies). We work on innovative technologies ... Our Data Engineers must - * You will assemble large, complex data sets that meet functional / non ...

Data Engineer

Warren, MI · On-site

$45 - $50/hr

... rules engines, and ai/ml and most web technologies). We work on innovative technologies ... Our Data Engineers must - * You will assemble large, complex data sets that meet functional / non ...

GCP Data Engineer Location : Dearborn, Michigan (Onsite) Term : C2C/W2 role Exp : 10+ Yrs : Basic ... The company specializes in Business and Management Consulting, AI/ML, Data Analytics ...

ML Ops Engineer

Dearborn, MI · On-site

$48.50 - $66.50/hr

ML Ops Engineer Duration: Long-Term Contract Location: Hybrid - 4 days/week onsite Description ... Data quality * Model performance * Agentic solution effectiveness * Support real-time and large ...

AI/ML and Data Engineer

Southfield, MI · On-site +1

$104K - $125K/yr

Bachelor's degree required in Computer Science, Engineering, Data Science, or related field; advanced degree preferred. * At least 8 years of progressive experience in AI/ML engineering, including a ...

Senior Data Engineer

Ann Arbor, MI · On-site

$103K - $140K/yr

This role requires deep technical knowledge, strong engineering judgment, and the ability to deliver high-impact solutions that support analytics, AI/ML, operational reporting, and streaming data ...

Senior Data Engineer

Ann Arbor, MI

$103K - $140K/yr

This role requires deep technical knowledge, strong engineering judgment, and the ability to deliver high-impact solutions that support analytics, AI/ML, operational reporting, and streaming data ...

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Data Engineer Ml information

What does a data engineer ML do?

A Data Engineer ML (Machine Learning) is responsible for designing, building, and maintaining the data pipelines and infrastructure necessary for machine learning applications. They clean, process, and organize large datasets to ensure data quality and accessibility for data scientists and ML engineers. In addition, they may work on deploying machine learning models to production environments and optimizing data workflows for efficiency and scalability.

What are the key skills and qualifications needed to thrive as a data engineer ML?

To thrive as a Data Engineer ML, you need strong programming skills (especially in Python or Scala), knowledge of data modeling, and a solid foundation in database technologies, typically supported by a degree in computer science or a related field. Familiarity with big data frameworks (like Spark or Hadoop), cloud platforms (AWS, GCP, or Azure), and ETL tools, as well as relevant certifications, is highly beneficial. Excellent problem-solving abilities, teamwork, and clear communication help you collaborate with data scientists and stakeholders effectively. These skills are essential for building robust data pipelines and infrastructure that enable scalable, high-quality machine learning solutions.

How do data engineer ML roles typically collaborate with data scientists and machine learning engineers on projects?

Data Engineer ML professionals work closely with data scientists and machine learning engineers by building and maintaining robust data pipelines, ensuring clean and reliable datasets are readily available for modeling and analysis. They often participate in meetings to understand model requirements, help optimize data storage for performance, and support the deployment of machine learning models into production environments. Effective collaboration involves continuous communication to troubleshoot data issues, implement data validation, and scale solutions as project needs evolve. This teamwork ensures that data-driven projects move efficiently from experimentation to deployment.

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

AspectData Engineer MlData Scientist
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's/Master's in CS, Data Science certifications
Work EnvironmentBuilding data pipelines, managing databasesAnalyzing data, creating models
Employer & Industry UsageTech companies, finance, healthcareResearch institutions, tech firms, finance

Data Engineer Ml focuses on developing and maintaining data infrastructure and pipelines, while Data Scientists analyze data and build predictive models. Both roles often collaborate but serve different functions within data teams.

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

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

What cities in Michigan are hiring for Data Engineer Ml jobs?

Cities in Michigan with the most Data Engineer Ml job openings:

Infographic showing various Data Engineer Ml job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 4% Contract, and 1% Nights. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.

Senior Robotics Data Engineer - Only W2

Saransh Inc

Warren, MI • On-site

$99K - $135K/yr

Contractor

Re-posted 24 days ago


Job description

Role: Senior Robotics Data Engineer
Location: Warren, MI (Onsite from Day 1)
Job Type: W2 Contract
 
Main Skills: Senior Robotics Data Engineer (ML/AI systems, Python, TensorFlow and/or PyTorch, Power BI, Azure data services)
 
Key Responsibilities:
· Design and implement scalable data pipelines for large-scale robotic datasets (vision, depth, tactile, force/torque).
· Build infrastructure for high-throughput data capture from real robots and simulation environments.
· Develop and deploy semi-supervised/self-supervised data labeling workflows to minimize manual annotation costs.
· Enable simulation-to-real (Sim2Real) data workflows, including domain randomization and synthetic data generation.
· Manage data versioning, metadata, and dataset governance to support model training, evaluation, and regression testing.
· Collaborate with Robotics Perception, Grasping AI, and Simulation teams to define data requirements and KPIs.
· Establish data quality metrics that correlate with perception and grasping performance.
 
Required Qualifications:
· Minimum 3 years of experience in data engineering, machine learning systems, robotics, or related fields.
· Master’s degree in Engineering, Computer Science, Data Science, or equivalent practical experience.
· Proven experience building production-grade data pipelines for ML/AI systems.
· Strong hands-on experience with Python-based data tooling.
· Experience working with large, complex, multimodal datasets.
 
Preferred Qualifications:
· Direct experience supporting robotics perception, grasping, or manipulation AI.
· Familiarity with robotics simulation platforms (e.g., Isaac Sim) and synthetic data generation.
· Experience with data labeling tools and annotation workflows at scale.
· Hands-on knowledge of TensorFlow and/or PyTorch from a data systems perspective.
· Experience with Microsoft data ecosystems (Power BI, Azure data services).