Senior MLOps Engineer

Há 13 horas

Canoas, Rio Grande do Sul, Brasil AGCO Tempo inteiro

Not everyone can claim to feed the world, but it is part of our every day. Behind everything we do for our farmers, there is one AGCO team making it happen. We are proud to put our curiosity to work, building a better and more sustainable world. Join our extraordinary team today

AGCO is looking to hire candidates for the position of Senior MLOps Engineer to join the AI Platform Engineering team. The ideal candidate will have a proven track record of deploying and managing Machine Learning model in production environments, and have a passion for automation, scalability and optimizing AI workflows.

You'll join a team building platform capabilities that accelerate AI delivery across the enterprise, from core infrastructure and reusable components to monitoring systems and developer enablement. You will have the opportunity to shape how ML models are deployed and managed at scale, creating lasting business value while staying at the forefront of the MLOps landscape.

Your Impact

  • Build and operate end-to-end MLOps pipelines covering model training, validation, deployment, monitoring, and full lifecycle management across cloud, on‑prem, hybrid, and edge environments.
  • Embed observability-by-default into all ML systems using OpenTelemetry, Prometheus, structured logging, metrics, and traces, with automatic instrumentation and correlation across data, training, inference, and downstream systems.
  • Establish reliable and compliant deployment standards through containerized runtimes, golden paths, and Git-based CI/CD workflows, ensuring reproducibility, traceability, rollback, and operational excellence for every model.
  • Define and monitor model health and business impact signals, including performance, drift, data quality, latency, throughput, error rates, and aligned business metrics, enabling fast root-cause analysis and incident response.
  • Act as a technical leader and platform partner, setting standards, supporting AI delivery teams, enabling deployment into APIs, applications, analytics, and embedded machinery, while continuously evolving tooling and practices to improve reliability, transparency, and speed.

Your Experience and Qualifications

  • 8+ years of experience in software, data, or ML engineering, with 4–5+ years running ML systems in production.
  • Deep expertise in observability for ML systems, including OpenTelemetry, Prometheus/Grafana, distributed tracing, auto‑instrumentation, and telemetry standards.
  • Proven cloud-native MLOps experience on GCP or AWS (GCP preferred), with Docker, Kubernetes, CI/CD, Git-based workflows, and infrastructure-as-code (Terraform).
  • Agentic AI Operation experience: Agent Ops, LLM Ops
  • End-to-end model operations leadership, including lifecycle tooling (MLflow/Kubeflow), drift and performance monitoring, automated rollback, and strong cross‑functional collaboration focused on reliability, transparency, and operability.

Your Benefits

  • Medical and dental assistance;
  • Private pension;
  • Meal and food vouchers;
  • Pharmacy agreement and life insurance;
  • PROPAR
  • Others.

We value inclusion and recognize the innovation a diverse workforce delivers to our farmers. Through our recruitment efforts, we are committed to building a team that includes a variety of experiences, backgrounds, cultures and perspectives.

Join our extraordinary team today and apply now

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