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Senior Elastic ML & Gen AI Engineer - Kyndryl
AI Engineer
Senior Engineer leading the design, build, and scaling of machine learning and generative AI solutions on the Elastic Stack, driving advanced analytics and AI-powered insights for mission‑critical systems.
About the role
Key Responsibilities
- Architect and implement end‑to‑end ML and Gen AI pipelines using the Elastic Stack, ensuring high performance and scalability.
- Develop and maintain custom ElasticSearch plugins and Kibana visualizations to surface AI insights to business stakeholders.
- Collaborate with data scientists to translate models into production‑ready services, leveraging Python and Elastic’s ML framework.
- Integrate AI solutions with cloud infrastructure (AWS) and CI/CD pipelines for automated deployment and monitoring.
- Lead code reviews, mentor junior engineers, and champion best practices in data engineering and AI ethics.
Requirements
- 5+ years of experience in machine learning engineering with a focus on production deployments.
- Deep expertise in Elastic Stack components (Elasticsearch, Kibana, Beats) and Elastic ML.
- Proficient in Python, with experience building and deploying ML models.
- Strong understanding of generative AI models (e.g., GPT, diffusion) and their operationalization.
- Hands‑on experience with AWS services (S3, Lambda, SageMaker) and CI/CD tools.
Skills
machine learninggenerative aipythonelasticsearch