Senior Mlops Engineer - Advertising (Brazil)

OverviewSenior MLOps Engineer - Advertising (Brazil) at Truelogic Software.

This role focuses on architecting and scaling AI / ML infrastructure for next-generation digital experiences, with emphasis on production-grade MLOps pipelines and collaboration with data scientists, engineers, and product teams.Job SummaryWe are seeking a Senior ML+DevOps Engineer to architect and scale AI / ML infrastructure for next-generation digital experiences.

The role centers on building robust, production-grade MLOps pipelines, ensuring seamless deployment, monitoring, and optimization of machine learning models.

The ideal candidate brings deep expertise in Python, containerization, and cloud platforms, with hands-on experience delivering end-to-end MLOps solutions.

You will collaborate with data scientists, engineers, and product teams to power AI-driven publishing technologies, content automation, and intelligent pipelines.ResponsibilitiesDesign and implement end-to-end MLOps pipelines for training, deployment, and inference.Build and maintain Python-based APIs (FastAPI) to support ML workflows and data ingestion.Configure and manage cloud infrastructure (AWS, GCP, Azure) to support AI / ML workloads.Automate deployment, scaling, and monitoring of models using Docker and CI / CD pipelines.Implement observability, logging, and alerting with tools like CloudWatch, Prometheus, Grafana, and GCP logging.Collaborate with cross-functional teams to define requirements and deliver scalable MLOps solutions.Optimize model performance and system reliability while troubleshooting production issues.Apply infrastructure-as-code practices (Terraform) for reproducible and maintainable deployments.Stay ahead of industry best practices in MLOps, cloud-native engineering, and AI / ML integration.QualificationsProven experience designing and implementing end-to-end MLOps pipelines for model training and inference.Advanced Python expertise, including multithreading, async / await, multiprocessing, and parallelism.Experience building and deploying APIs with FastAPI for data ingestion and ML workflows.Strong background in data cleaning, transformation, and ETL processes using Python.Hands-on experience with Terraform (including production usage and state file management).

Expertise in Docker, including container packaging and entry point customization.Experience monitoring and troubleshooting production ML models with S3, GCP logging, CloudWatch, Prometheus, or Grafana.Proficiency with CI / CD pipelines (preferably GitHub Actions).

What we offer100% Remote Work : Work remotely from your location with a laptop and reliable internet connection.Highly Competitive USD Pay : Compensation in USD that is market-leading.Paid Time Off : Paid time off policies for well-being and rest.Work with Autonomy : Manage your time and focus on results.Work with Top American Companies : Collaborate on innovative, high-impact projects with U.S. companies.

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