About this role
Machine Learning Engineer
My client, a prominent financial institution provider, is seeking a highly skilled Machine Learning Engineer to join a dynamic project team focused on transforming data-driven supervision through cutting-edge artificial intelligence.
What you'll do
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Architect, develop, and deploy production-quality GenAI and machine learning solutions.
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Integrate Large Language Models (LLMs) into existing enterprise workflows and supervisory systems.
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Manage the end-to-end AI lifecycle, including data ingestion, model training, fine-tuning, and performance monitoring.
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Collaborate across multi-disciplinary teams to bridge the gap between experimental modeling and production-grade applications.
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Ensure AI systems meet rigorous standards for security, data governance, and regulatory compliance.
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The experience and skills needed
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Extensive experience in the full AI technology stack, with deep proficiency in Python.
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Demonstrated success in MLOps and LLMOps, including model governance and real-time monitoring.
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Practical experience building scalable AI applications within a secure or highly regulated environment.
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Strong understanding of Agile methodologies and continuous integration/continuous deployment (CI/CD) pipelines.
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Excellent analytical skills with the ability to turn complex concepts into reliable, sustainable, and performant solutions.
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If this sounds like the right next step for you, we'd love to hear from you. Apply today!
Required Skills
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Machine Learning
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