CO and US onlyTruelogic is seeking a Senior ML+DevOps Engineer to architect and scale AI/ML infrastructure for next-generation digital experiences. This role focuses on building robust MLOps pipelines, ensuring seamless deployment, monitoring, and optimization of machine learning models, and collaborating with data scientists, engineers, and product teams. The ideal candidate will leverage Python, containerization, and cloud platforms to deliver scalable and reliable MLOps solutions.
Requirements
- Design and implement end-to-end MLOps pipelines for model training and inference.
- Build and maintain Python-based APIs (FastAPI) for data ingestion and ML workflows.
- 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.
Benefits
- Competitive USD Pay
- Paid Time Off
- Work with Autonomy
- Work with Top American Companies
- Highly Competitive Remote Work
United States
MX and US only
AR, BR + 4 more
Brazil only
