AI ML Engineer (Financial Services) - Local Only to Texas

Qualifications

• 5+ years experience in applied machine learning or data science
• Strong Python, SQL, and ML frameworks (TensorFlow, PyTorch, XGBoost)
• Experience deploying models into production environments
• Familiarity with explainability techniques (e.g., SHAP, LIME)
• Financial services
• Azure ML, AWS SageMaker, or Google Cloud Platform Vertex
• Fraud, credit, AML, or customer analytics experience

Benefits

• When you work at OpTech, not only do you get health and dental benefits, but you also have training opportunities, flexible/remote work options, growth opportunities, 401K and competitive pay

Responsibilities

• Design, develop, and deploy production-grade machine learning models supporting risk management, fraud detection, customer analytics, and operational efficiency within a regulated financial services environment
• Build, test, and deploy ML models using Python and modern ML frameworks
• Partner with Data Engineering teams to consume governed data pipelines
• Implement model monitoring, performance tracking, and drift detection
• Collaborate with Model Risk and Compliance teams to ensure explainability and fairness
• Support re-training and optimization of models as business and regulatory requirements evolve

Full Description

Why work at OpTech?

OpTech is a woman-owned company that values your ideas, encourages your growth, and always has your back.

When you work at OpTech, not only do you get health and dental benefits, but you also have training opportunities, flexible/remote work options, growth opportunities, 401K and competitive pay.

Apply today!

Title: AI / ML Engineer Financial Services

Location: Auburn Hills, MI, Farmington Hills, MI or Frisco, TX

Role Summary

Design, develop, and deploy production-grade machine learning models supporting risk management, fraud detection, customer analytics, and operational efficiency within a regulated financial services environment.

Key Responsibilities

• Build, test, and deploy ML models using Python and modern ML frameworks

• Partner with Data Engineering teams to consume governed data pipelines

• Implement model monitoring, performance tracking, and drift detection

• Collaborate with Model Risk and Compliance teams to ensure explainability and fairness

• Support re-training and optimization of models as business and regulatory requirements evolve

Required Qualifications

• 5+ years experience in applied machine learning or data science

• Strong Python, SQL, and ML frameworks (TensorFlow, PyTorch, XGBoost)

• Experience deploying models into production environments

• Familiarity with explainability techniques (e.g., SHAP, LIME)

• Financial services

Nice to Have

• Azure ML, AWS SageMaker, or Google Cloud Platform Vertex

• Fraud, credit, AML, or customer analytics experience

OpTech is an Equal Opportunity Employer (EOE), all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.