Senior Machine Learning Engineer
Core
Design, build, and maintain scalable, production-grade infrastructure and platforms to support data and ML workloads in the cloud.
Role type
Senior ML Infrastructure Engineer
Builds
Cloud-based data and ML platforms, production systems for AdTech supply-side partners
Domain
Advertising Technology (AdTech), Cloud Infrastructure, Machine Learning Operations
Deliverable
infrastructure
Required skills
Python, SQL, Cloud platform design (GCP/AWS/Azure), CI/CD, API design, Testing best practices, System design, Observability, Automation
Preferred skills
Spark, Flink, Airflow, Docker, Kubernetes, Java, Go, C++, AI coding assistants
Technologies
GCP, AWS, Azure, PyTorch, TensorFlow, MLflow, Kubeflow, Docker, Kubernetes, Spark, Flink, Airflow
Responsibilities
Design and implement data and ML platforms with strong reliability and scalability; Translate research prototypes into robust, production-ready systems; Identify and address technical debt and bottlenecks; Contribute to engineering best practices across version control and automation; Participate in knowledge sharing and technical discussions.
Seniority
Senior, hands-on IC