Senior Elastic ML & Gen AI Engineer
Core
Design, build, and scale machine learning and generative AI solutions on the Elastic Stack for production-grade search and insight experiences.
Role type
Senior IC machine learning and generative AI engineer (Elastic Stack)
Builds
Intelligent search experiences, anomaly detection systems, and RAG pipelines
Domain
Enterprise IT services, Search & Retrieval, Machine Learning
Deliverable
production ML models
Required skills
Elastic Stack (Elasticsearch, Kibana, Eland), Vector search (kNN, ELSER), Generative AI / RAG pipelines, Python, PyTorch, Hugging Face Transformers, Cloud environments (AWS/Azure/GCP), Kubernetes
Preferred skills
MLOps, Model evaluation frameworks, Streaming tools (Kafka), Elastic certifications
Technologies
Elasticsearch, Kibana, Eland, OpenAI, Hugging Face, Azure OpenAI, PyTorch, scikit-learn, Kafka
Responsibilities
Design and implement Elastic ML solutions (anomaly detection, data frame analytics, forecasting); Build semantic and hybrid search using vector search; Develop Gen AI / RAG pipelines integrating embeddings and LLMs; Deploy and manage NLP and transformer models in Elasticsearch; Design data models and ingestion flows optimized for vector workloads; Build Kibana dashboards for monitoring and alerting
Seniority
Senior, hands-on IC