NTT DATA is looking to solve problems related to data ingestion, model inference, and deployment layers, as well as ensuring the quality and integrity of their AI systems and predictive pipelines.
Requirements
- 5+ years of Hands-on experience with Elasticsearch or similar; understanding of similarity search, indexing strategies, and embedding management
- Strong command-line skills; shell scripting; system-level monitoring and debugging
- Proficient in automation scripting; experience in building AI models, data pipelines, and OpenAI integrations
- Familiarity with Hadoop-based platforms like MapR and Hortonworks
- Experience supporting predictive AI workloads in production
- Familiarity with CI/CD pipelines and containerization (Docker, Kubernetes)
- Understanding of enterprise disaster recovery (DR) solutions including backup and restore
Responsibilities
- Troubleshooting across data ingestion, model inference, and deployment layers
- On-call support for GenAI and predictive pipelines (1 week every 6-8 weeks)
- Proactive monitoring of model failures, latency, and system health
- Supporting predictive AI workloads in production
- Defining and implementing observability strategies for AI systems
- Experience with tools such as Splunk, Grafana, ELK stack, OpenTelemetry
- Familiarity with CI/CD pipelines and containerization (Docker, Kubernetes)
Other
- Bachelor's degree or higher in a related field
- Ability to work on-call for 1 week every 6-8 weeks
- Strong communication and collaboration skills
- Ability to work in a fast-paced environment
- Commitment to diversity and inclusion
