Who We Are
At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world’s leading businesses. We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our people—Kyndryls—that means doing purposeful work that powers human progress. Join us and experience a flexible, supportive setting where your well-being is prioritized and your potential can thrive.

The Role
We're looking for a Senior Engineer to design, build, and scale machine learning and generative AI solutions on the Elastic Stack. You'll own the ML and Gen AI capabilities end-to-end—from anomaly detection and semantic search to vector-powered RAG—turning data into intelligent, production-grade search and insight experiences.

Design and implement Elastic ML solutions: anomaly detection, data frame analytics (classification, regression, outlier detection), and forecasting.

Build semantic and hybrid search using vector search (kNN),



dense/sparse vectors, and ELSER. Develop Gen AI / RAG pipelines using Elasticsearch as a vector store, integrating embeddings and LLMs (OpenAI, Hugging Face, Azure OpenAI). Deploy and manage NLP and transformer models in Elasticsearch via Eland; build inference ingest pipelines.

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 explain ability. Partner with data, platform, and product teams to operationalize ML/Gen AI features at scale.

Your Future at Kyndryl
Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won’t find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want

📌 Senior Elastic ML (Mumbai)
🏢 Kyndryl
📍 Mumbai