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Lead AI Engineer

Gurgaon, India💼 Full-time🗓 2026-09-16 → 2026-09-26

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

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