Senior AI/ML Engineer - R01572485

Stack

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Opis

Senior AI/ML Engineer Job requirements - Experience Range: with at least 6 years of experience in AI/ML engineering, including hands-on expertise in designing, building, and operationalizing enterprise-scale AI platforms Key Responsibilities: Lead the design and architecture of enterprise-scale AI platforms, ensuring scalability, security, and operational readiness - Define and implement frameworks for model lifecycle management, MLOps/LLMOps, and AI observability to support robust deployment and monitoring - Establish and enforce Responsible AI principles, governance frameworks, and technical guardrails across AI solutions - Drive platform-level technical decision-making and define reusable architecture patterns, standards, and reference models for AI and GenAI solutions - Collaborate with business, data, technology, and platform teams to translate AI architecture principles into production-ready capabilities - Evaluate emerging AI technologies and assess their applicability to enterprise AI platforms, supporting long-term scalability and business outcomes - Maintain and improve AI model governance, version control, and documentation for ongoing operational excellence - Required Skills: Expertise in enterprise-scale AI platform design and operationalization - Deep proficiency in model lifecycle management, MLOps/LLMOps, and AI observability - Advanced programming skills in Python and PySpark - Experience with cloud-based AI platforms and modern data/AI architectures - Knowle

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