Related skills
postgresql python kubernetes jupyter dvc📋 Description
- Design and develop ML infra, tooling, and models for teams.
- Help product teams understand the data lifecycle and ML experiments.
- Build internal platforms to enable AI in features and products.
- Consult on ML patterns, anti-patterns, and tradeoffs for experiences.
- Build scalable services for data integration, event processing, and extensions.
- Contribute to product functionality handling large data and traffic.
🎯 Requirements
- 8+ years in ML/AI, preferably NLP.
- Experience moving and storing TBs to 10B records.
- Experience delivering enterprise ML apps in production at scale.
- Proficient with Python, Jupyter, Dagster, MLFlow, Kubeflow, DVC.
- LLMs, RAG, Prompt Engineering, Fine-Tuning, multi-modal models.
- Distributed systems, Kubernetes/GKE, and cloud (AWS/GCP).
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