Senior Software Developer working on ML Infrastructure and Deployment at Verafin. Helping develop cutting - edge fraud detection tools alongside analytics teams using AWS and Terraform.
About the role
- Machine Learning Engineer developing impactful ML models at Stefanini. Collaborating with cross-disciplinary teams in a hybrid work setup maximizing business solutions.
Responsibilities
- Participar con equipos multidisciplinarios para desarrollar soluciones de machine learning end-to-end
- Transformar necesidades de negocio en modelos de ML que generen impacto en el negocio
- Diseñar, desarrollar y desplegar pipelines de modelos de ML escalables en entornos de producción
- Diseñar, desarrollar y desplegar APIs para servir modelos de ML integrados con procesos empresariales
- Implementar pipelines CI/CD con testing automatizado, gates de calidad e Infraestructura como código
- Implementar observabilidad integral con monitoreo de data drift y model drift para el seguimiento del performance de modelo
Requirements
- Titulado/Bachiller en Ingeniería de Software, Ciencias de la Computación, Ingeniería de Sistemas, Estadística o afines. Con especializaciones en MLOps
- +3 años de experiencia en desarrollo e implementación de modelos de ML en producción
- Dominio AWS (Lamda, API Gateway, VPC, IAM)
- Dominio GCP (Cloud Fuction, Dataflow, Cloud Run, Cloud Composer, Vertex, CloudLogging)
- Dominio GCP para ML (Vertex Feature Store, Vertex Pipeline, Vertex Endpoint , Vertex Model Monitoring )
- Experiencia en frameworks para pipelines ML (Kedro, Kubeflow, Apache Airflow) y Big Data (PySpark, Apache Beam)
- Experiencia en frameworks para APIs (FastAPI, Django) y bases de datos (Bigquery, BigTable, CloudSQL, FireStore),
- Experiencia en CI/CD para ML, Git , containerización (Docker, Kubernetes), IaC (Terraform), Azure DevOps
Benefits
- Trabajo híbrido
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Machine Learning Engineer developing advanced SLAM systems for autonomous trucking environments at Bot Auto. Collaborating with cross - functional teams to optimize mapping solutions and ensure operational stability.
Graduate Deep Learning Algorithm Developer developing perception technologies for autonomous driving. Tackling challenges in object detection and 3D perception using state - of - the - art deep learning models.
Principal AI/ML Engineer leading the AI/ML infrastructure development for WEX's risk service needs. Focused on innovative engineering and technology solutions within a high - stakes environment.
AI/ML Engineer developing solutions in artificial intelligence for HPE. Responsible for conducting research, designing AI solutions, and mentoring team members.
Machine Learning Engineer focusing on modeling cancer cells and developing related tools. Collaborating with researchers and scientists to advance cancer treatment through ML.
Machine Learning Engineer II developing production - grade ML models for fraud detection at GEICO. Collaborating on system architecture and ensuring optimal performance of fraud assessment systems.
AI/ML Engineer III designing and architecting AI solutions at Hewlett Packard Enterprise. Collaborating with teams to drive innovation and tackle complex problems.
AI/ML Engineer deploying state - of - the - art AI models to solve real - world problems at Brain Co. Working in healthcare, government, and energy sectors for impactful results.
Trainer at WeAndTheMany facilitating learning by sharing experiences and creating interactive sessions. Engaging with students to enhance their skills and knowledge through dynamic teaching methods.