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You will be updated with latest job alerts via email- 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.
Bonus Qualifications- Multi-cloud Experience: Exposure to GCP and Azure environments.
- Data Science Lifecycle: Involvement in full-cycle projects including problem definition data exploration modeling evaluation training scoring and operationalization.
- MLOps Principles: Understanding of model lifecycle management and collaboration with data scientists to deploy solutions.
Full-time