Senior MLOps Engineer

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Implement and adhere to established Standard Operating Procedures (SOPs) for GenAI and agent-based solutions in production environments.

• Oversee platform health, model performance, and inference pipelines.

• Maintain the stability and accessibility of AI services across all environments.

• Investigate and resolve incidents by analyzing logs, traces, and metrics.

• Perform root cause analysis (RCA) and document the findings.

• Utilize observability tools (logs, metrics, tracing) to identify anomalies and performance issues.

• Contribute to the enhancement of Standard Operating Procedures (SOPs) and runbooks.

• Assist in the runtime operations of LLM-based applications and agent-driven workflows.

• Monitor inference performance, including latency, throughput, and costs.

⛳️ Requirements

• Proven experience with MLOps, ML systems, or AI platform operations.

• Strong troubleshooting capabilities utilizing logs and observability tools.

• Familiarity with cloud environments such as Azure, AWS, or GCP.

• Understanding of ML pipelines, APIs, and distributed systems.

• Experience with monitoring tools such as Datadog, Prometheus, Grafana, or Azure Monitor.

🏝️ Benefits

• Health insurance.

• Flexible working hours.

• Professional development opportunities.