Lead AI Engineer
Core
Build and operate MLOps capabilities, model deployment pipelines, and infrastructure automation to scale AI/ML systems into production for Mastercard's enterprise platforms.
Role type
Senior hands-on IC MLOps engineer
Builds
Scalable training pipelines, deployment frameworks, Databricks workspaces, and model monitoring platforms
Domain
Financial services / MLOps / Distributed data processing
Deliverable
production ML models
Required skills
MLOps, Databricks administration, Spark, Python, PySpark, SQL, CI/CD, infrastructure as code, feature engineering, model lifecycle management, cloud operations
Preferred skills
MLflow, Comet, Weights and Biases, Terraform, Ansible, Docker, Kubernetes, Generative AI, LLMs, RAG, GitHub Copilot
Technologies
Databricks, Spark, Python, PySpark, SQL, Git, Jenkins, Maven, Artifactory, Terraform, Ansible, Docker, Kubernetes, MLflow, Comet, Weights and Biases
Responsibilities
Design and maintain MLOps capabilities and AI/ML systems; Implement models into production with scalable pipelines; Administer Databricks workspaces and compute policies; Deploy infrastructure via IaC and automated pipelines; Build data ingestion and feature engineering workflows; Automate model training, testing, and deployment; Maintain model monitoring for drift and performance; Mentor junior engineers
Seniority
Senior, hands-on IC