Senior Elastic ML, Gen AI Engineer

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🕒 June 19

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Kyndryl

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2021

💼 Consulting

📦 Logistics

🏥 Healthcare

Consulting • Logistics • Healthcare

Kyndryl is a leading IT infrastructure services provider, serving thousands of enterprise customers worldwide. The company specializes in designing, building, managing, and modernizing complex, mission-critical information systems. Kyndryl offers a range of services including IT consulting, cloud services, cybersecurity, data and AI solutions, and digital workplace transformation. With a strong focus on innovation, partnerships, and co-creation, Kyndryl helps businesses tackle IT complexity and drive operational excellence. The company operates across various industries such as automotive, healthcare, banking, and more, providing expertise and solutions to address industry-specific challenges. Kyndryl's global network and strategic alliances empower enterprises to adapt to the evolving technology landscape, ensuring their essential systems are reliable and efficient.

📋 Description

• 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

🎯 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