Senior Machine Learning Engineer, AI Foundations
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The role
Design and implement a scalable AI framework for creative workflows, spanning Agentic AI, Construct AI, Imaging AI, Motion AI, and Personalization AI.
Build and operate end-to-end systems by integrating microservices, data pipelines, LLM orchestration, models, caches, and analytics into a cohesive architecture.
Develop large-scale data and inference infrastructure (Spark, Kafka, Flink) to support training, fine-tuning, evaluation, and deployment with strong observability and fault tolerance.
Create high-performance runtime services for inference and orchestration with low latency and robust fault handling, backed by effective caching and storage strategies.
Bring 5+ years of experience in distributed AI infrastructure, real-time streaming, API development, and multi-model inference; proficiency in Python, Java, C++, or Go.
Nice-to-have: ML/MLOps, feature stores, model registries, Generative AI familiarity, agentic AI patterns, and strong cross-functional collaboration.
Build and operate end-to-end systems by integrating microservices, data pipelines, LLM orchestration, models, caches, and analytics into a cohesive architecture.
Develop large-scale data and inference infrastructure (Spark, Kafka, Flink) to support training, fine-tuning, evaluation, and deployment with strong observability and fault tolerance.
Create high-performance runtime services for inference and orchestration with low latency and robust fault handling, backed by effective caching and storage strategies.
Bring 5+ years of experience in distributed AI infrastructure, real-time streaming, API development, and multi-model inference; proficiency in Python, Java, C++, or Go.
Nice-to-have: ML/MLOps, feature stores, model registries, Generative AI familiarity, agentic AI patterns, and strong cross-functional collaboration.
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