Senior MLOps Engineer
Há 3 dias
Senior 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.
Responsibilities- Design 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.
- Proven 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).
- 100% 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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