We are looking for an experienced Machine Learning engineer to scale our ML capabilities further.
You will be joining a team of 5 Engineers and will be responsible for designing and implementing the infrastructure and tools that enable the development and deployment of machine learning models.
In this role, you will be using ground-breaking technology on the Google Cloud Platform (GCP) to build and support world-class ML systems, both batch and real-time.
Requirements & Skills:
Demonstrable hands-on experience in machine learning engineering, with a proven track record of designing and deploying large-scale machine learning systems
Extensive knowledge of software development with Python, SOLID principles
Understanding of machine learning techniques, such as supervised and unsupervised learning, MLOps, and data engineering
Experience with distributed systems, such as Beam, Spark, or Kubernetes.
Practical knowledge of GCP (preferred)
Hands-on experience with our stack including Vertex, Dataflow, Cloud Run, BigQuery, Datastore, Cloud Storage, Cloud Functions and PubSub, or equivalent
