AI Architect
Location: bengalore
Exp: 12Yrs
AI Architect at Automobile Manufacturing drive digital transformation by designing implementing and governing AI/data strategies Azure-based pipelines and ML models to enhance vehicle technology and sustainable transport solutions. These roles focus on connecting disparate technologies enabling scalable AI applications and integrating AI models into enterprise workflows.
Key Aspects of AI Architect Roles:
Data & AI Strategy: Developing and implementing AI/data architecture frameworks.
Technology Stack: Utilizing Azure Databricks and advanced AI modeling to build scalable robust systems.
Vehicle Integration: Applying AI for vehicular and transport infrastructure including AI agents driver assistance systems (ADAS) and simulation for safer vehicle development.
Governance & DevOps: Guiding DevOps for AI focusing on deployment automation and ensuring compliance with data privacy regulations.
Collaboration: Working within agile teams and with senior leadership to integrate AI into software solutions.
AI architects within the Group structure particularly within and other inside IT divisions are critical for evolving transport technology
AI Architect Location: bengalore Exp: 12Yrs AI Architect at Automobile Manufacturing drive digital transformation by designing implementing and governing AI/data strategies Azure-based pipelines and ML models to enhance vehicle technology and sustainable transport solutions. These roles focus on con...
AI Architect
Location: bengalore
Exp: 12Yrs
AI Architect at Automobile Manufacturing drive digital transformation by designing implementing and governing AI/data strategies Azure-based pipelines and ML models to enhance vehicle technology and sustainable transport solutions. These roles focus on connecting disparate technologies enabling scalable AI applications and integrating AI models into enterprise workflows.
Key Aspects of AI Architect Roles:
Data & AI Strategy: Developing and implementing AI/data architecture frameworks.
Technology Stack: Utilizing Azure Databricks and advanced AI modeling to build scalable robust systems.
Vehicle Integration: Applying AI for vehicular and transport infrastructure including AI agents driver assistance systems (ADAS) and simulation for safer vehicle development.
Governance & DevOps: Guiding DevOps for AI focusing on deployment automation and ensuring compliance with data privacy regulations.
Collaboration: Working within agile teams and with senior leadership to integrate AI into software solutions.
AI architects within the Group structure particularly within and other inside IT divisions are critical for evolving transport technology
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