AI Data Platform Engineer - Manufacturing Systems and Infrastructure
Core
Design, build, and operate scalable AI data platforms and pipelines to transform enterprise data into trusted, AI-ready datasets for GenAI, Agentic AI, and Embodied AI solutions.
Role type
Senior IC AI Data Platform Engineer
Builds
Scalable AI data platforms, data pipelines, and AI-ready datasets
Domain
Manufacturing systems, enterprise AI, cloud-native infrastructure
Deliverable
production ML models
Required skills
Python, SQL, Java/Scala, Airflow, Kubeflow, MLflow, Spark, Kafka, Ray, Pandas, data lake/lakehouse architectures (Iceberg, Delta Lake), distributed systems, APIs, microservices
Preferred skills
RAG architectures, embedding generation, vector databases, Kubernetes, Docker, CI/CD, Infrastructure as Code, multimodal datasets, knowledge graphs, AI evaluation frameworks, enterprise data governance, IoT/industrial data platforms
Technologies
Python, SQL, Java, Scala, Airflow, Kubeflow, MLflow, Spark, Kafka, Ray, Pandas, Iceberg, Delta Lake, AWS, Azure, GCP, Kubernetes, Docker
Responsibilities
Design and maintain scalable AI data platforms and APIs; develop data ingestion, transformation, and publishing pipelines; build AI-ready datasets through curation, annotation, and versioning; develop data quality frameworks and validation pipelines; implement RAG pipelines and vector database integrations; optimize platform scalability, reliability, and security; drive engineering best practices for AI data architecture and operations.
Seniority
Senior, hands-on IC