Machine Learning (W2 Role)

Job Description - Remote Role

We are seeking a Machine Learning professional to manage and govern the end-to-end lifecycle of ML models in an enterprise environment. This role focuses on ensuring models are compliant, well-governed, auditable, and production-ready, while maintaining high standards of quality and regulatory adherence.

Key Responsibilities

• Manage the complete lifecycle of machine learning models, including governance, version control, approvals, and production deployment.

• Develop, maintain, and enhance monitoring and retraining pipelines to ensure ongoing model performance, reliability, and compliance.

• Implement and enforce regulatory controls, audit frameworks, and enterprise governance standards for ML systems.

• Collaborate closely with applied ML engineers, data scientists, and compliance teams to ensure safe, compliant, and scalable ML operations.

• Document governance frameworks, policies, and processes to support transparency and audit readiness.

Required Skills & Qualifications

• Machine Learning Advanced level (6 9 years of experience) Required

• Strong understanding of ML model lifecycle management, MLOps, and governance practices

• Experience with model monitoring, retraining strategies, and compliance workflows

• Ability to work in regulated or enterprise environments with audit requirements

Preferred Skills

• Apache Kafka Intermediate level (3 5 years of experience) Preferred

• Experience with event-driven architectures and data streaming pipelines