This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
Platform Engineer to support AI/ML services on public and private cloud platforms, responsible for architecture and engineering activities to enable next generation platform services for the enterprise
Job Responsibility:
Install, validate, and build automation solutions to manage AI/ML tools on private and public cloud platforms
Partner with business and application teams to understand requirements and develop solutions
Capture user requirements and work with stakeholders to help prioritize delivery
Contribute towards developing architecture patterns, service construction, and value calibration
Assess risk when business decisions are made
Publish best practices, configuration recommendations, design documents, and playbooks
Support in training and mentoring junior team members
Requirements:
8-12 years of overall IT experience
4+ years of related field experience as AIML Platform Engineer
Hands-on work with analytics products such as Data Robot, Dataiku, H2O
Able to install, validate, test, and automate solutions on Linux platform
Experience with Docker/Container and Kubernetes
Understanding of analytics concepts, AI model lifecycle, GenAI and MLOps
Understanding of platform engineering concepts and design principles
Experience in distributed data processing using Spark, Hive, or similar platforms
Knowledge of public cloud platforms like AWS and GCP
Able to operate in cross-functional environment
Good written and verbal communication skills
Good team player interested in sharing knowledge
Ability to create documents of high quality
Ability to work in a structured environment and follow procedures
Bachelor's degree/University degree or equivalent experience
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