Senior Machine Learning Platform/Ops Engineer
Core
Build and maintain production ML pipelines, observability, and infrastructure to enable reliable, scalable model development and deployment for an AI-powered language learning platform.
Role type
Senior Machine Learning Platform/Ops Engineer
Builds
Production ML systems, data ingestion flows, and LLM-based features for a global EdTech platform
Domain
Education Technology / Machine Learning Infrastructure
Deliverable
production ML models | infrastructure
Required skills
Python, SQL, ML lifecycle management, cloud platforms (GCP/AWS), Kubernetes, CI/CD, Terraform, Docker, Airflow, Spark, Kafka, LLM serving, vector databases
Preferred skills
Agentic AI SDLC, GenAI product flows, mentoring peers
Technologies
Databricks, MLFlow, Airflow, DBT, Sagemaker, Tecton, Kubeflow, Dagster, Spark, BigQuery, Kafka, Terraform, Docker, Kubernetes
Responsibilities
Build and maintain ML pipelines for training, evaluation, and deployment; Support AI scientists in creating reproducible, containerized model training environments; Define and implement observability and alerting for ML systems; Design and scale data ingestion and feature transformation flows; Contribute to internal Python libraries and platform tooling; Ensure ML services are modular, testable, and monitored; Explore and productionize LLM-based features
Seniority
Senior, hands-on IC
