Senior AI Engineer – Data Platform AI Enablement
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Le poste
You will design and deliver AI capabilities inside a scalable data platform, building AI services, APIs, and reusable components for application teams.
Embed AI into the platform with Kubernetes-deployable inference microservices, embeddings, and data enrichment.
Create NiFi processors and Airflow operators for AI tasks such as NLP extraction, PII detection, and summarization, plus Spark-based AI pipelines for batch and streaming workloads.
Deliver reusable AI components including RAG services integrated with object storage for enterprise data search, and pre-built AI modules like anomaly detection and classification.
Own the model lifecycle aspects (registry, versioning, retraining), observability (metrics, drift detection, dashboards), and security/governance (GenAI guardrails, data privacy, IAM).
Collaborate with platform engineers and document APIs, usage patterns, and best practices to empower application teams.
Embed AI into the platform with Kubernetes-deployable inference microservices, embeddings, and data enrichment.
Create NiFi processors and Airflow operators for AI tasks such as NLP extraction, PII detection, and summarization, plus Spark-based AI pipelines for batch and streaming workloads.
Deliver reusable AI components including RAG services integrated with object storage for enterprise data search, and pre-built AI modules like anomaly detection and classification.
Own the model lifecycle aspects (registry, versioning, retraining), observability (metrics, drift detection, dashboards), and security/governance (GenAI guardrails, data privacy, IAM).
Collaborate with platform engineers and document APIs, usage patterns, and best practices to empower application teams.
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