MLOps Senior Engineer

28201 Core Technical Skills
- Vector Databases: Hands-on experience with Elasticsearch or similar; understanding of similarity search, indexing strategies, and embedding management.
- Linux Systems: Strong command-line skills; shell scripting; system-level monitoring and debugging.
- Python Programming: Proficient in automation scripting; experience in building AI models, data pipelines, and OpenAI integrations.
- Big Data Technologies: Familiarity with Hadoop-based platforms like MapR and Hortonworks.
AI Platform & Production Support
- Experience supporting predictive AI workloads in production.
- Troubleshooting across data ingestion, model inference, and deployment layers.
- Familiarity with CI/CD pipelines and containerization (Docker, Kubernetes).
- On-call support for GenAI and predictive pipelines (1 week every 6–8 weeks).
- Understanding of enterprise disaster recovery (DR) solutions including backup and restore.
Observability & Monitoring
- Ability to define and implement observability strategies for AI systems.
- Experience with tools such as Splunk, Grafana, ELK stack, OpenTelemetry.
- Proactive monitoring of model failures, latency, and system health