Senior AI & Analytics Engineer: Production ML & MLOps

Madison-Davis; New York (NY); Vor Ort; USD 150.000 - 230.000; Vollzeit

Zusammenfassung

Madison-Davis, LLC seeks a senior Data Science and Analytics Engineer to expand enterprise AI capabilities and operationalize ML at scale in a leading financial services environment. You will design production-grade ML solutions, own end-to-end analytics delivery, and guide engineering, governance, and deployment practices while remaining hands-on in development.

In this hands-on leadership role, you will mentor teams, set standards for ML lifecycle, and collaborate with risk, compliance, and

Qualifikationen

• 10+ years of experience across data science, AI/ML, analytics, or related fields.
• Deep hands-on Python and SQL experience.
• Strong ML, predictive modeling, and statistical analytics background.
• Proven track record delivering ML/AI in production.
• Databricks, Spark, and cloud-analytics experience.
• Experience with modern ML frameworks and lifecycle tooling.
• MLOps experience including deployment, CI/CD, monitoring.
• Experience in financial services or regulated environments.
• Strong communication and stakeholder-management skills.
• Ability to provide technical leadership while remaining hands-on in development.

Aufgaben

• Design, develop, and deploy enterprise machine-learning, AI, and advanced-analytics solutions.
• Own analytics delivery from problem definition and feature engineering through model development, deployment, monitoring, and adoption.
• Build scalable ML pipelines using Python, Databricks, Spark, and cloud-native technologies.
• Integrate models into enterprise applications and operational workflows.
• Establish MLOps standards for deployment, CI/CD, experiment tracking, model monitoring, and lifecycle management.
• Support model explainability, validation, governance, and auditability.
• Partner with business, engineering, risk, compliance, data, and operations teams.
• Provide technical leadership while remaining directly involved in development and implementation.

Kenntnisse

Python

SQL

Machine learning

Databricks

Spark

MLOps

Cloud analytics

Stakeholder management

Technical leadership

Tools

Azure ML

MLflow

Jobbeschreibung

Madison-Davis, LLC seeks a senior Data Science and Analytics Engineer to expand enterprise AI capabilities and operationalize ML at scale in a leading financial services environment. You will design production-grade ML solutions, own end-to-end analytics delivery, and guide engineering, governance, and deployment practices while remaining hands-on in development.

In this hands-on leadership role, you will mentor teams, set standards for ML lifecycle, and collaborate with risk, compliance, and