Machine Learning Engineer III
Core
Design, build, and maintain infrastructure for deploying ML solutions, managing data pipelines, and optimizing compute resources for ranking, recommendation, and pricing systems.
Role type
Senior IC Machine Learning Engineer (MLOps & Infrastructure)
Builds
Scalable ML infrastructure for training, deployment, and serving in batch and real-time environments for B2B partners.
Domain
Travel technology / B2B / Machine Learning Operations
Deliverable
production ML models | infrastructure
Required skills
Python, TensorFlow, PyTorch, distributed systems, cloud platforms (AWS, GCP), containerization (Docker, Kubernetes), scalable data systems (Spark, Kafka), CI/CD tools, ML model serving technologies
Preferred skills
Model development-to-production workflow optimization, mentoring junior engineers, low latency inference optimization
Technologies
TensorFlow, PyTorch, AWS, GCP, Docker, Kubernetes, Spark, Kafka, GitHub Actions, MLflow
Responsibilities
Design and implement scalable ML infrastructure for training, deployment, and serving; Build and maintain efficient data pipelines for large-scale processing; Optimize compute resources and improve model serving performance; Implement robust monitoring, logging, and alerting systems; Collaborate with ML scientists to streamline the model development-to-production workflow; Research and integrate new technologies.
Seniority
Senior, hands-on IC with mentorship responsibilities
