ML/MLOps Engineer (Python, AWS)
Actively Hiring
Full-time Posted 6 months ago
Responsibilities
- check_circle Develop, maintain, and deploy Python-based production services
- check_circle Build and operate ML pipelines and MLOps infrastructure
- check_circle Work with AWS services including Lambda, Step Functions, DynamoDB, Kafka, and containerized applications
- check_circle Deploy, monitor, and maintain ML models (e.g., XGBoost) in production environments
- check_circle Ensure reliability, correctness, and performance of AI systems
- check_circle Ship code to production frequently (daily or near-daily)
- check_circle Debug and resolve production issues efficiently
- check_circle Collaborate with data scientists, product managers, and operational teams to support AI-driven products
Basic qualifications
- Experience with Python (production-quality code)
- Hands-on AWS experience (Lambda, Step Functions, DynamoDB, IAM, containers)
- Experience with Kafka or other event-driven systems
- Experience deploying ML models to production
- Git / CI/CD experience
Preferred qualifications
- Experience with MLOps platforms and automation tools
- Real-time data pipelines
- Experience with AI chatbots or retrieval-augmented generation (RAG) systems
Tags & Focus Areas
Fulltime Remote Ai Machine Learning Data Science Mlops
About Sphere
Puesto: Oficial de CumplimientoUbicación: MéxicoEmpresa: SphereDescripción de la empresa: Sphere es una plataforma líder en soluciones de pagos globales. Ofrecemos servicios innovadores tanto para empresas como para individuos, garantizando cumplimiento normativo y seguridad en todas nuestras operaciones.Responsabilidades: Desarrollar, implementar y supervisar políticas y procedimientos de cumplimiento para garantizar la conformidad con las regulaciones financieras mexicanas, especialmente en...