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ownership from discovery to deployment and monitoring.\nBuild, deploy, and maintain scalable AI/ML systems with strong engineering, reliability, and governance standards.\nEngage stakeholders to define scope, assess data readiness, and identify the most effective solution approach.\nPlan milestones, manage timelines, and drive initiatives from concept through delivery.\nImplement responsible practices, including validation frameworks, guardrails, and compliance controls.\nCommunicate progress, risks, trade-offs, and outcomes clearly to senior leadership.\nStay current with emerging models, frameworks, and techniques and apply relevant innovations.\nCollaborate cross-functionally with business, engineering, data, and risk teams to deliver enterprise-ready solutions.\n\nKey Success Metrics: \nCorrect selection of AI approach (rules, AI, or hybrid) for the problem on first implementation.\nModels achieving agreed performance benchmarks and measurable business impact.\nStable, reliable production systems with minimal drift and fast issue resolution.\nCost-effective scalability as data, usage, and complexity grow.\nCompliance with security, privacy, and regulatory standards with no critical incidents.\nClear stakeholder understanding of solution capabilities, risks, and limitations.\nSkills\nAI, Artificial Intelligence, Data Science, Data Scientist, Gen AI, Generative AI, LLM, Large Language Model, ML, Machine Learning","description_format":"text","description_chars":1735,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Commercial & Retail Banks","Cards & Card Issuing"],"lifecycle":[{"event":"open","at":"2026-10-27T17:35:30Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring 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