Senior Machine Learning Platform Engineer
Core
Design and scale infrastructure and frameworks enabling machine learning development, experimentation, and production for a global adtech ecosystem handling trillions of impressions.
Role type
Senior Machine Learning Platform Engineer
Builds
Scalable ML pipelines, data workflows, observability frameworks, and reusable SDKs/APIs for adtech use cases.
Domain
Adtech / Big Data / Machine Learning Infrastructure
Deliverable
production ML models | infrastructure
Required skills
Python, SQL, Spark, Kafka, Kubernetes, Docker, CI/CD, distributed systems, data warehousing, experiment tracking, GPU/accelerated computing
Preferred skills
Neo4j, RAG, embeddings, recommendation systems, personalization pipelines, anomaly detection, Looker, Grafana, Scala, Java
Technologies
Triton, Spark, Hadoop, Kafka, Snowflake, Neo4j, MLflow, Airflow, Docker, Kubernetes
Responsibilities
Design and maintain scalable ML pipelines for ingestion, feature engineering, training, evaluation, and inference; Build and optimize large-scale data workflows using distributed systems; Develop frameworks for experiment tracking, automated reporting, and model observability; Provide reusable components, SDKs, and APIs to empower teams; Drive CI/CD, workflow orchestration, and infrastructure-as-code practices; Partner cross-functionally to align ML infrastructure with business needs.
Seniority
Senior, hands-on IC
