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Senior Elastic ML, Gen AI Engineer
Location
India
Posted
2 days ago
Salary
0
Seniority
Senior
Job Description
Senior Elastic ML, Gen AI Engineer
Kyndryl
• Design, build, and scale machine learning and generative AI solutions on the Elastic Stack • own the ML and Gen AI capabilities end-to-end—from anomaly detection and semantic search to vector-powered RAG • Design and implement Elastic ML solutions: anomaly detection, data frame analytics, and forecasting • Build semantic and hybrid search using vector search, dense/sparse vectors, and ELSER • Develop Gen AI / RAG pipelines using Elasticsearch as a vector store • Deploy and manage NLP and transformer models in Elasticsearch via Eland • Design data models, mappings, and ingestion flows optimized for vector and ML workloads • Tune relevance, embeddings, and retrieval quality; evaluate and improve search/RAG performance • Build Kibana dashboards and ML jobs for monitoring, alerting, and explainability • Partner with data, platform, and product teams to operationalize ML/Gen AI features at scale
Job Requirements
- 5+ years in ML/AI or data engineering, with strong hands-on Elastic Stack experience
- Hands-on expertise with Elastic ML (anomaly detection, data frame analytics) and the Elasticsearch inference/NLP capabilities
- Strong experience with vector search, embeddings, semantic/hybrid search, and ELSER
- Practical Gen AI / RAG experience: LLM integration, prompt design, retrieval pipelines, and grounding
- Proficiency with Python and ML libraries (PyTorch, Hugging Face, Azure OpenAI)
- Proficiency with Elasticsearch DSL/ES|QL and large-scale data handling
- Experience with cloud environments (AWS/Azure/GCP); familiarity with containers and Kubernetes
Benefits
- Flexible, supportive environment
- Be Well programs thoughtfully designed to support your financial, mental, physical, and social health
- Opportunities that won’t be found anywhere else, including hands-on experience, learning opportunities, and certification
- Culture that values empathy, restless learning, and devotion to shared success
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