Lead high-difficulty AI projects, manage quality across multiple projects, and mentor junior data scientists.
About this role
ANDPAD hires an MLOps engineer to build the systems and platform that make use of accumulated construction site data, with a view to new businesses and improvements to clients' work three years ahead. The engineer works with machine learning engineers to develop and run the machine learning platform, with product managers and engineers of the construction collaboration app.
Responsibilities include developing and operating API servers that return model predictions, monitoring them continuously and improving observability and latency, developing and running machine learning pipelines with ML engineers, writing development guidelines so pipelines can be built quickly and safely, designing KPI monitoring that takes continuous learning into account, and preparing an environment where ML engineers can run proofs of concept fast. The stack is AWS and GCP with Python, Terraform, GitHub Actions, Vertex AI Pipelines, MLflow, Cloud Run, BigQuery and Looker.
Required are agreement with the company's mission and values, experience developing continuously released software, CI/CD and cloud services, basic security knowledge, and the ability to finish projects with colleagues.
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