Machine Learning Architect - Remote

Overview

PNC Bank is seeking a highly experienced and innovative Machine Learning Architect to lead the design, development, and deployment of scalable machine learning solutions.

In Short

• Architect end-to-end machine learning solutions from data ingestion to model deployment and monitoring.
• Design scalable, reliable, and secure ML systems integrated into business workflows and decision-making processes.
• Collaborate with data engineering and DevOps teams to deploy models in production environments using MLOps best practices.
• Develop reusable ML components, frameworks, and infrastructure.
• Guide data scientists on model development, performance evaluation, and feature engineering strategies.
• Ensure governance, model interpretability, and compliance with regulatory requirements.
• Lead experimentation to validate hypotheses and deliver insights.
• Maintain awareness of new tools, trends, and technologies in the AI/ML space.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
• 8+ years of experience in data science, machine learning, or AI development.
• 3+ years in a technical lead or architect role designing ML systems.

Benefits

• Strong understanding of supervised and unsupervised learning, deep learning, NLP, and recommendation systems.
• Experience with ML frameworks and tools such as TensorFlow, PyTorch, scikit-learn, XGBoost, Hugging Face.
• Proficient in Python and SQL; familiarity with Java or Scala is a plus.
• Hands-on experience with cloud platforms (AWS, Azure, or GCP) and their ML toolkits.
• Familiarity with MLOps concepts, CI/CD pipelines, and tools such as MLflow, Kubeflow, or Airflow.
• Knowledge of data privacy, ethics in AI, and model explainability techniques.
• Excellent communication and stakeholder engagement skills.
• Experience in financial services or banking is highly desirable.