Senior ML & AI Engineer

Requirements

• You will ideally have 4-5 years of direct experience as an ML/AI focused engineer, with some experience in data science or similarly styled teams being advantageous
• You will be able to demonstrate expert proficiency in Google Cloud Platform’s (GCP) latest ML/AI tooling, including, but not limited to: VertexAI, BigQuery & BigQuery ML, Gemini & Vector Search
• 4-5 years of direct experience as an ML/AI focused engineer, with 1+ year in a senior capacity preferred
• Master's or PhD degree in Computer Science, Statistics, Mathematics, or a related quantitative field
• Expert proficiency in GCP’s ML/AI tooling, and its data ecosystem in general
• Expert proficiency with Python and its core ML/AI libraries eg PyTorch, XGBoost, TensorFlow
• Expert proficiency with SQL development, with Google dialects being advantageous
• Proficiency with an API web framework eg FastAPI, Django, Flask
• Robust...