Remote AI Production Ops Engineer

E-Solutions; Argentina; Presencial; ARS 120.000 - 180.000; Jornada completa

Descripción de la vacante

E-Solutions in Argentina is seeking an AI Engineer in AI Ops to operate, monitor, and maintain AI models and agent-based systems in production, ensuring reliability and alignment with business expectations over time.

The role focuses on production monitoring, lifecycle operations, and platform integration, requiring strong Python skills and experience with MLOps. You will collaborate cross-functionally to standardise AI Ops patterns and governance.

Formación

• Strong Python skills and experience supporting ML or LLM-based systems.
• Understanding of Model Ops / MLOps, especially the operational phase after deployment.
• Experience with Monitoring and logging systems.
• Familiarity with cloud platforms (Azure preferred).
• Ability to work cross-functionally with product, data science, engineering, and risk teams.

Responsabilidades

• Monitor AI models and agents in production for performance, latency, errors, and availability.
• Track statistical health indicators such as model drift, data distribution changes, and output stability.
• Observe business KPIs linked to AI behaviour (e.g. accuracy impact, false‑positive cost, efficiency).
• Detect and triage production incidents related to AI behaviour or degradation.
• Execute rollbacks, throttling, or model disabling where thresholds are breached.
• Support root‑cause analysis and post‑incident reviews to prevent recurrence.
• Support deployment, versioning, and release of AI models and agents using CI/CD‑style pipelines.
• Maintain registries and metadata covering model ownership, lineage, risk classification, and approvals.
• Support models and agents move safely through environments (dev → test → production).
• Ensure AI systems adhere to Responsible AI principles, internal controls, and audit requirements.
• Maintain audit trails, logs, and approval artefacts required by risk, compliance, and regulators.
• Support fairness, bias, explainability, and transparency monitoring in production.
• Integrate AI systems with monitoring, logging, and alerting platforms (e.g. dashboards, metrics stores).
• Work with cloud infrastructure (containers, event streaming, APIs) supporting scalable AI operations.
• Collaborate with product, engineering, and data teams to standardise AI Ops patterns and blueprints.

Conocimientos

Python

ML Ops

Monitoring

Cloud platforms

Descripción del empleo

E-Solutions in Argentina is seeking an AI Engineer in AI Ops to operate, monitor, and maintain AI models and agent-based systems in production, ensuring reliability and alignment with business expectations over time.

The role focuses on production monitoring, lifecycle operations, and platform integration, requiring strong Python skills and experience with MLOps. You will collaborate cross-functionally to standardise AI Ops patterns and governance.