Required competency and skillset to be a waver

4–7+ years in Machine Learning / AI Engineering.

Strong Python proficiency (PyTorch, TensorFlow, Hugging Face).

Experience working with LLMs (fine-tuning, RAG, embeddings, retrieval systems).

Experience deploying ML systems in production (Docker, Kubernetes, CI/CD).

Experience building inference pipelines and monitoring systems.

Strong understanding of evaluation metrics and ML governance practices.

Experience working with large-scale structured and unstructured datasets.

Strong preference for previous fintech or payments experience

• Python (PyTorch, TensorFlow, Hugging Face)
• LLMs (fine-tuning, RAG, embeddings, retrieval systems)
• ML system deployment (Docker, Kubernetes, CI/CD)
• Inference pipelines and monitoring systems
• Evaluation metrics and ML governance
• Large-scale structured and unstructured datasets

• 4–7+ years in Machine Learning / AI Engineering.
• Strong Python proficiency (PyTorch, TensorFlow, Hugging Face).
• Experience working with LLMs (fine-tuning, RAG, embeddings, retrieval systems).
• Experience deploying ML systems in production (Docker, Kubernetes, CI/CD).
• Experience building inference pipelines and monitoring systems.
• Strong understanding of evaluation metrics and ML governance practices.
• Experience working with large-scale structured and unstructured datasets.
• Strong preference for previous fintech or payments experience