Machine Learning Engineer
Core
End-to-end MLOps engineering for AI/ML and LLM solutions in a banking environment.
Role type
Senior Machine Learning Engineer (MLOps)
Builds
Production ML/LLM models and platforms for a bank
Domain
Banking / Machine Learning / MLOps
Deliverable
production ML models
Required skills
Python, Kubernetes, Google Cloud Platform (GCP), Machine Learning, LLM architecture, Linux, Technical leadership
Preferred skills
None stated
Technologies
Kubernetes, Google Cloud Platform, Python
Responsibilities
Lead MLOps projects end-to-end, design and implement ML/LLM solutions, maintain production environments on Kubernetes/GCP, optimize MLOps processes and CI/CD pipelines, provide technical leadership and mentoring
Seniority
Senior, hands-on IC with leadership
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