As a Machine Learning Team Lead at Vacasa, Prague you'll lead a newly emerging team which has an impact on maximizing company's revenue and efficiency. Vacasa's ML and Data Science initiatives span various areas, including dynamic pricing and probability models, with opportunities to explore recommender systems, NLP, and neural networks using extensive data resources.

In Short

Lead, mentor, and grow a team of Machine Learning Engineers
Define repeatable architectural patterns for large-scale, adaptive, secure, performant systems.
Select technologies, guide technical solutions, and produce high quality documentation.
Productionize machine learning models using AWS, Python 3, CI/CD, Airflow, and Terraform.
Write maintainable, reliable, and robust pipelines complete with unit and integration tests.
Contribute to all phases of development and delivery.
Develop dashboards to monitor pipeline health, and alert on key metrics.
Present results to stakeholders and executives as needed
Conduct code reviews, peer design, debug difficult problems across multiple projects, and become an expert in MLOps.

Requirements

Software engineering or data science, including management experience
Excellent communication in English
Ability to navigate bigger organization with engineering spread across numerous time zones
Familiarity with Python and RDBMS SQL
Familiarity of modern generative AI techniques and machine learning algorithms, including supervised, unsupervised, neural network, regression, and tree-based approaches.
Expert skills in cloud service architecture (AWS, Azure, GCP)
Familiarity with AWS tools such as SageMaker, EMR (Spark), Lambda, and Fargate a plus.
Experience with service-oriented architecture and scaling large-scale systems.
Experience writing infrastructure as code, Terraform, and Docker is a plus.
Ability to interact with technical and business stakeholders to solicit necessary requirements for implementation and execution of data science projects