Senior Machine Learning Engineer
Core
Design, build, and maintain scalable cloud-based ML/AI platforms and pipelines for data-driven products serving internal and external clients.
Role type
Senior IC machine learning engineer (platforms)
Builds
Cloud-based ML pipelines, production ML/AI platforms, and enterprise-grade solutions
Domain
Travel industry + cloud machine learning
Deliverable
production ML models
Required skills
AWS SageMaker, Python, TensorFlow/PyTorch, parallel computing, distributed training, SQL, ETL, data warehousing, statistical analysis, CI/CD, Docker, Git
Preferred skills
Kubernetes, Snowflake, NoSQL (MongoDB), Kafka, Hadoop, Spark, Ray
Technologies
AWS SageMaker, Python, TensorFlow, PyTorch, scikit-learn, Docker, Kubernetes, Snowflake, MongoDB, Kafka, Hadoop, Spark, Ray
Responsibilities
Lead architecture and implementation of robust, scalable ML/AI platforms; Design and develop end-to-end ML workflows using distributed computing; Deploy complex ML/deep learning models into mission-critical production systems; Foster a culture of innovation and self-service analytics; Conduct horizon scanning and research emerging ML trends.
Seniority
Senior, hands-on IC
