Machine Learning Engineer

Title : ML Engineer

Location : Dearborn Michigan

Key Responsibilities

Design, build, and deploy machine learning models that learn dealership data transmission patterns

Develop models to detect :

• Missing or delayed data feeds
• Unexpected drops or spikes in transaction volumes
• Deviations from historical trends (e.g., expected vs actual counts)
• Leverage cloud-native ML tooling, prioritizing off-the-shelf and managed services (not building models from scratch)

Partner with product managers and business stakeholders to :

Implement ML workflows using :

Monitor model performance and data behavior to distinguish :

Technical Environment :

Strongly Preferred

Nice to Have

Experience with :

1.ML monitoring and model performance tracking

2.Time-series data

3.Data quality or anomaly detection use cases

4.Exposure to dealership, automotive, or transaction-based platforms

5.Some exposure to Java-based backend systems

6.GCP certification

Ideal Candidate Profile

Senior-level ML Engineer who can :

1.work hands-on

2.define ML approaches

3.partner with business and engineering teams

4.Comfortable working in ambiguity and shaping solutions

5.Focused on practical ML that drives business outcomes

Dexian stands at the forefront of Talent + Technology solutions with a presence spanning more than 70 locations worldwide and a team exceeding 10,000 professionals. As one of the largest technology and professional staffing companies and one of the largest minority-owned staffing companies in the United States, Dexian combines over 30 years of industry expertise with cutting-edge technologies to deliver comprehensive global services and support.

Dexian connects the right talent and the right technology with the right organizations to deliver trajectory-changing results that help everyone achieve their ambitions and goals. To learn more, please visit https : / / dexian.com / .

Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.