24 may
|
Mission.dev
|
Buenos Aires
24 may
Mission.dev
Buenos Aires
Postúlate en Kit Empleo: kitempleo.com.ar/empleo/pxj5a
Mission is a platform for hiring, vetting and managing software development talents. It enables our clients to connect with the world’s best talent to build mission-critical software products.
Our mission is to make advanced AI accessible to every organization—not just teams with large data science departments or deep technical resources.
About the CompanyThis enterprise software company provides an AI platform designed to automate complex operations such as demand forecasting and supply chain optimization. The platform bridges the gap between experimental pilots and production-ready workflows, enabling organizations in integral industries to deploy scalable AI solutions. By focusing on governed intelligence and data integration, the company helps businesses achieve operational efficiency through an interface for building and managing production-grade AI applications at scale
About the RoleAs a software engineer, you will design and own production systems end-to-end, focusing on the infrastructure required to operationalize machine learning models.
You will be responsible for building the scalable APIs, microservices, and data pipelines that support reliable AI applications. Rather than focusing on model training, your impact lies in shipping the robust systems that surround these models, ensuring high performance, fault tolerance, and observability at scale. You will act as the primary bridge between core backend engineering and machine learning deployment
What You'll Do
- Design and maintain scalable APIs and microservices to support high-throughput production environments.
- Build robust data pipelines for model ingestion and processing using SQL and NoSQL databases
- Deploy machine learning models via specialized inference frameworks and serving patterns like batching and async infere
- Implement observability across the stack, including comprehensive logging, metrics, and alerting systems.
- Architect distributed systems focusing on low latency, fault tolerance,
Postúlate en Kit Empleo: kitempleo.com.ar/empleo/pxj5a
📌 Backend Engineer with ML focus (Buenos Aires)
🏢 Mission.dev
📍 Buenos Aires