Top 45 Mlops Jobs in Auburn Hills Mi

ICT Data Engineer
Stellantis —Auburn Hills, MI
- Azure
- Computer Science
- 3 years
Machine Learning Engineer
Stellantis —Auburn Hills, MI
- 5 years
- SQL
- Analysis skills
4d
Solution Architect
Stellantis —Auburn Hills, MI
- Analysis skills
- Bachelor's degree
- APIs
Director of Product and Technology Services (Strategy & AI Transformation)
GRT Financial —Southfield, MI
- $150,000 - $175,000 a year
- Remote
- Azure
- Computer Science
- AWS
- Health insurance
- Dental insurance
Quick Apply
Technical Development Lead (AI/Cloud/Full-Stack)
Stellantis —Auburn Hills, MI
- 7 years
- Azure
- Computer Science
DEVOPS ENGINEER
Emergtech Business Solutions —Farmington Hills, MI
- Email
- Bachelor of Science
- Mid-level
- Bachelor's degree
SOFTWARE DEVOPS ENGINEERS SE-1
TRENDSET IT —Farmington Hills, MI
- Email
- Computer Science
- System design
- AWS
Senior DevOps Engineer
Piezos Technologies, LLC —Northville, MI
- Email
- Computer Science
- Master's degree
- Travel
Sr. DevOps Engineer
Carhartt —Dearborn, MI
- Weekends as needed
- 7 years
- Azure
- Office
Senior DevOps Engineer
Savance —Commerce, MI
- From $100,000 a year
- Email
- Google Workspace
- 5 years
- System design
- Paid holidays
- Dental insurance
Data Scientist - Supply Chain
Stellantis —Auburn Hills, MI
- Computer science
- Computer Science
- Master's degree
Linux Sys Admin/DevOps Engineer (Systems Administrator 2)
HII —Warren, MI
- $65,592 - $90,000 a year
- Email
- 7 years
- DevOps
- Mid-level
- Paid holidays
- Health insurance
DevOps Architect
Koch —Auburn Hills, MI
- Computer Science
- Pass drug screening
- Office
- Paid parental leave
- Health savings account
AI Coding Product Leader
Stellantis —Auburn Hills, MI
- Computer Science
- Master's degree
- 8 years
HMI, Devops and Automation Lead
Stellantis —Auburn Hills, MI
- Management
- 5 years
- Engineering
Quality Technical Manager
Stellantis —Auburn Hills, MI
- Computer science
- Azure
- Computer Science
Principal DevOps Engineer (Software Engineering Platforms)
Stellantis —Auburn Hills, MI
- Computer science
- Azure
- Computer Science
Senior Embedded Software & DevOps Engineer – Powertrain
Stellantis —Auburn Hills, MI
- Azure
- Computer Science
- 5 years
Director, Artificial Intelligence Enablement
Sun, Inc. —Southfield, MI
- Full-time
- Computer Science
- 5 years
- Office
- Paid jury duty
- Paid parental leave
Sr IT Director- Data Analytics & AI, AFM, Commercial, Engineering & EV
Dana Incorporated —Novi, MI
- Computer Science
- 11+ years
- Office

I want to receive the latest job alert for mlops in auburn hills mi

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Explore jobs in more locations

mlops jobs near auburn hills mi

Machine Learning Engineer jobs in Auburn Hills, MI

Data Scientist jobs in Auburn Hills, MI

Systems Administrator jobs in Warren, MI

Senior Devops Engineer jobs in Northville, MI

Full Stack Developer jobs in Auburn Hills, MI

Data Engineer jobs in Auburn Hills, MI

Devops Architect jobs in Auburn Hills, MI

Technical Manager jobs in Auburn Hills, MI

Devops Engineer jobs in Farmington Hills, MI

Senior Devops Engineer jobs in Georgia

Senior Living jobs in Alpharetta, GA

Senior Devops Engineer jobs in Richmond, VA

Senior Devops Engineer jobs in Minneapolis, MN

Senior Devops Engineer jobs in New Jersey

Senior Contract Administrator jobs in Remote

Jobs For Senior Citizens jobs in Woodbridge, VA

Rf Engineer jobs in Tampa, FL

School District Director Transportation jobs in North Carolina

Director Of Analytics jobs in Fresno, CA

Director Of Analytics jobs in Palo Alto, CA

ICT Data Engineer

Stellantis -
Auburn Hills, MI

Apply Now

Job Details

Qualifications

Statistics
Cloud analytics services
Data visualization software proficiency
Statistics
Spark
Business intelligence report generation
SQL
Business intelligence tools
Machine intelligence
Machine learning (ML) fundamentals
Research findings presentation
Project stakeholder communication
Python
Cross-functional communication
Data analysis software
Stakeholder management

Full Job Description

We are seeking a strategic and hands-on Data Engineer to support Purchasing* and Finance *Analytics and Programs within our North America Data & AI team. Data engineering is the practice of making the appropriate data available to various data consumers (including data scientists, data and business analysts, citizen integrators, and line-of-business users). It is a discipline that involves collaboration across business and IT units.

In addition to creating and maintaining an optimal pipeline architecture, typical duties and responsibilities for a Data Engineer position may include:

The ideal candidate combines strong analytical skills with practical experience building scalable analytics, models, and data products in enterprise environments. You will be part of a talented team of data scientists, engineers, driving predictive analytics and early detection of emerging warranty trends using vast datasets across the enterprise.

Key Responsibilities:

Assembling large, complex sets of data that meet non-functional and functional business requirements
Design, implement, and optimize end-to-end data pipelines for ingesting, processing, and transforming large volumes of structured and unstructured data.
Develop robust ETL (Extract, Transform, Load) process to integrate data from various sources.
Identifying, designing and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes
Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using AWS, Azure, DB2 and SQL technologies
Building scalable tables to provide actionable insight into key business performance metrics including operational efficiency and customer acquisition
Working with stakeholders including the Data Product teams to support their data infrastructure needs while assisting with data-related technical issues
Design and maintain data models, schemas, and database structures to support analytical and operational use cases.
Optimize data storage and retrieval mechanisms for performance and scalability.
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

Basic Qualifications

Bachelor’s or in Data Science, Statistics, Engineering, Computer Science, or related field.
Minimum 3 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 Qualifications

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.
This is a fast-paced environment providing rapid delivery for our business partners. You will be working in a highly collaborative environment that values speed and quality, with a strong desire to drive change and value.

Apply Now

Refine Your Search

mlops jobs in auburn hills mi

ICT Data Engineer

Machine Learning Engineer

Solution Architect

Director of Product and Technology Services (Strategy & AI Transformation)

Technical Development Lead (AI/Cloud/Full-Stack)

DEVOPS ENGINEER

SOFTWARE DEVOPS ENGINEERS SE-1

Senior DevOps Engineer

Sr. DevOps Engineer

Senior DevOps Engineer

Data Scientist - Supply Chain

Linux Sys Admin/DevOps Engineer (Systems Administrator 2)

DevOps Architect

AI Coding Product Leader

HMI, Devops and Automation Lead

Quality Technical Manager

Principal DevOps Engineer (Software Engineering Platforms)

Senior Embedded Software & DevOps Engineer – Powertrain

Director, Artificial Intelligence Enablement

Sr IT Director- Data Analytics & AI, AFM, Commercial, Engineering & EV

I want to receive the latest job alert for mlops in auburn hills mi

Explore jobs in more locations

Job Seeker Tools

Employer Tools

Browse

Stay Connected