Stellenangebot

SVP & Enterprise Architect

Als SVP & Enterprise Architect bei Northern Trust gestalten Sie die Unternehmensarchitektur und treiben die Integration von KI- und Machine-Learning-Lösungen voran. Sie entwickeln Strategien für digitale Transformation, Automatisierung und MLOps, um innovative Enterprise-Lösungen zu implementieren.

Aufgaben

  • Provide tools, guidelines, and expertise to build and run machine learning within the enterprise
  • Drive consistent growth in automated deep analysis effort across groups for automation and AI adoption
  • Support the adoption of the latest AI developments and technologies
  • Assist in the use of AI and enhance the developer experience with code with application development tools
  • Bring the use process through business and technology by digital transformation initiatives with business unit
  • Work in close partnership through Architecture Steering Board

Anforderungen

  • Two or more years of generalist AI/machine learning, and enterprise-scale AI/ML systems of experience
  • with or more years of AI/ML solutions, or applications of AI/ML solutions or other machine learning and analytics
  • Experienced with architecting and model interpretation for existing enterprise environments
  • Excellent written and verbal communication skills (English fluency with native-like proficiency)
  • Self-starter able, resilient in a VUCA environment (fast-paced and change resistant)
  • Additional degree (Master in MS AI, Data Science, Computer Science, or related field)
  • Professional certifications in AI, machine learning, cloud infrastructures, or enterprise architecture
  • Support or more years of experience with AI and data systems with an MLOps practice
  • Program languages such as Python, and familiarization with ML frameworks
  • Build and a proactive user's focus, and through design and data science a strong interest in learning and learning new methods through strong research skills (like Kaggle and other competitions or as any (GPT large-scale, LLM - Oly = GPT-3/4, M5, G5, D2, etc.)

Wir bieten

  • AWS/Azure, and/or GCP Cloud certifications
  • Kafka and Spark, and/or Kafka certifications and use in production
  • Experience implementing an MLOps architecture using CI/CD pipeline and related concepts such as Flink, Kafka, or other streaming tools
  • Salary Range: $171.437 564.00.000 $172,039 (564,00.000)

Jobdetails

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