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Data Engineer Ml Jobs in Michigan (NOW HIRING)

Robotics Data Engineer

Warren, MI · On-site

$107K - $128K/yr

Robotics Data Engineer Location: Warren, MI/ Mountain View, CA Duration: Fulltime Must Have ... ML/AI systems. • Strong hands-on experience with Python-based data tooling. • Experience ...

New

Senior Data Engineer

Houghton, MI · On-site

$90K - $122K/yr

Description: SENIOR DATA ENGINEER Orbion is seeking a Senior Data Engineer/Software Developer ... Some experience building AI/ML systems - finetuning models and preparing datasets, agentic system ...

Senior Data Engineer

Houghton, MI · On-site

$90K - $122K/yr

Job Type Full-time Description SENIOR DATA ENGINEER Orbion is seeking a Senior Data Engineer ... Some experience building AI/ML systems - finetuning models and preparing datasets, agentic system ...

Senior Data Engineer

Houghton, MI · On-site

$90K - $122K/yr

Description SENIOR DATA ENGINEER Orbion is seeking a Senior Data Engineer/Software Developer Orbion ... Some experience building AI/ML systems - finetuning models and preparing datasets, agentic system ...

Senior, ML Engineer - Auto Tagger

Ann Arbor, MI · On-site +1

$102K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Meet The Team: The Auto Tagger team is the engine behind our data flywheel, responsible for ... engineering, ML systems, or autonomous data curation. * Core Languages: Strong Python and SQL ...

Senior, ML Engineer - Auto Tagger

Ann Arbor, MI

$102K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Meet The Team: The Auto Tagger team is the engine behind our data flywheel, responsible for ... engineering, ML systems, or autonomous data curation. * Core Languages: Strong Python and SQL ...

Principal Data Engineer

Ann Arbor, MI · On-site +1

$170K - $210K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Experience supporting ML workflows, including feature engineering pipelines, feature stores, or model input data preparation Salary Range: $170,000 to $210,000 base compensation depending on ...

AI/ML and Data Engineer

Southfield, MI

$104K - $125K/yr

... ML, Generative AI, and modern data platforms, advancing SME's nonprofit mission to accelerate ... engineering (ETL/ELT) supporting dashboards and reporting that inform SME decision-making on ...

Senior AI Data Engineer

Grand Rapids, MI · On-site

$121K - $151K/yr

Partner with data, AI/ML, architecture, and product teams to identify and deliver high-impact AI capabilities for the enterprise data platform. * Mentor engineers and define best practices for AI ...

Partner with data, AI/ML, architecture, and product teams to identify and deliver high-impact AI capabilities for the enterprise data platform. * Mentor engineers and define best practices for AI ...

The ideal candidate will leverage data science, machine learning, physics-based modeling, and ... Master''s degree in Mechanical Engineering, Electrical Engineering, Computer Science, Computer ...

Sr. Data Engineer - Lansing, MI

Lansing, MI · On-site

$116K - $139K/yr

... ML, Software Development, Technical Writing, and Digital Transformation. We partner with top ... Job Title: Senior Data Engineer Location: Lansing, MI (Hybrid - Onsite 2 days/week, REQUIRED ...

This role requires programming and statistical techniques to solve complex problems and work within ... As an AI/ML Data Scientist, you will be responsible for working with our customers to understand ...

This role requires programming and statistical techniques to solve complex problems and work within ... As an AI/ML Data Scientist, you will be responsible for working with our customers to understand ...

Showing results 41-60

Data Engineer Ml information

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.

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 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.

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 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, 81% Full Time, 12% Part Time, 1% Temporary, and 5% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.

Robotics Data Engineer

3B Staffing LLC

Warren, MI • On-site

$107K - $128K/yr

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.


Job description

Hello
Greetings!!!
This is Sakshi from Jconnect INC. Below is the requirement with my client. Please let me know if you are available for this role.
Title: Robotics Data Engineer
Location: Warren, MI/ Mountain View, CA
Duration: Fulltime
JOB DESCRIPTION:
Must Have Technical/Functional Skills
• 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.
• Systems thinking mindset with strong cross-functional collaboration skills.
• Direct experience supporting robotics perception, grasping, or manipulation AI.
• Familiarity with robotics simulation platforms such as 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 (e.g., Power BI, Azure data services).
• Exposure to self-supervised or weakly supervised learning techniques.
Roles & Responsibilities
• Design and implement scalable data pipelines for large-scale robotic datasets (vision, depth, tactile, force/torque).
• Build infrastructure to support high-throughput data capture from real robots and simulation environments.
• Develop and deploy semi-supervised / self-supervised data labeling workflows to reduce manual annotation cost.
• Enable simulation-to-real (Sim2Real) data workflows, including domain randomization and synthetic data generation.
• Own data versioning, metadata, and dataset governance to support model training, evaluation, and regression testing.
• Partner closely with Robotics Perception, Grasping AI, and Simulation teams to define data requirements and KPIs.
• Establish data quality metrics that directly correlate with perception and grasping performance
If you are interested, please send me your updated resume ASAP with below details:
Full Name:
Current Location/Zip:
Contact Number:
E-Mail Id:
Alternate Email Id:
Visa/Work Permit Status:
Current Rate/Salary:
Expected Base Salary:
Notice Period/Availability to Start:
Skype ID:
Willingness to relocate to job location:
Any Relocation Concern (family/house/weather):
Current/Previous Employer Name:
Preferred Interview timings (Specify Time zone):
Any other job opportunity in process & at which stage:
Overall Experience Summary:
LinkedIn URL:
Looking forward for your response..
Thanks and Regards,
Sakshi Tripathi
Jconnect Infotech Inc.
168 Barclay Center Ste. 347,
Cherry Hill, NJ 08034
Contact : 856-569-1812
Email: sakshi@jconnectinc.com
LinkedIn ID: https://www.linkedin.com/in/sakshitripathi292000/
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