S

AI Engineer

Skybound Wealth Management
Mumbai, India
≈ 209 тыс.–348,3 тыс. ₽ · 2,6 тыс.–4,4 тыс. $ · 2,3 тыс.–3,8 тыс. €
250 000 – 416 667 INR
🏢 Офис
Senior
Полная занятость
Продуктовая
Tech
Описание вакансии
Обязанности
Build CI CD pipelines and container deployments
Build observability dashboards and alerts
Build prompt agent and model release pipelines
Conduct load resilience and red team testing
Conduct threat modeling and security reviews
Define service level objectives and escalation processes
Develop incident playbooks and runbooks
Develop unit economics for AI services
Embed DevSecOps practices and secure development lifecycle
Ensure secure handling of secrets and sensitive data
Implement automated security testing in CI/CD
Implement automated testing and evaluation pipelines
Implement distributed tracing metrics logging with OpenTelemetry
Implement model routing and fallback
Investigate and respond to AI service incidents
Maintain dependency vulnerability and supply chain controls
Maintain incident records and post-incident reviews
Maintain model and provider version controls
Manage AI provider integrations
Manage canary deployments and rollbacks
Manage secrets authentication networking and access controls
Monitor model drift and output quality
Operate model gateway
Optimize cost with routing caching batching and context reduction
Set rate limits and quotas
Support auditability and data protection compliance
Use Infrastructure as Code for AI infrastructure
Условия
Career development support
Cross-functional collaboration
Flexible ownership of AI platform
Industry certification support

Технологии: AI Services, Alerting, Application Insights, Audit Logging, Authentication, Automated security, Automated security testing, Azure AI, Azure AI Services, Azure Application Insights, Azure DevOps, Azure Key Vault, Azure OpenAI, Batching, CI/CD, Caching, Canary deployments, Cloud infrastructure, Containers, Dashboards, DevSecOps, Distributed tracing, Encryption, Fallback strategies, Incident Response, Infrastructure as Code, Key Vault, Latency optimization, Logging, Metrics, Model Evaluation, Model routing, Networking, Observability, OpenTelemetry, Prompt engineering, Python, Quotas, Rate Limiting, Red team, Red team testing, Rollback procedures, Secrets management, Security Testing, Serverless, Service Level, Service-Level Objectives, Software Supply Chain, Software supply chain security, Supply chain security, Threat modeling, Token Usage Monitoring, Token usage, Usage monitoring, Vulnerability Management, “as-code”

AI-помощник
ИсточникСкрыто
Опубликовано3 дн назад
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