Tech Stack

Description

Join our AIXON team to bridge ML research and production. You'll design and build scalable ML infrastructure including data pipelines, APIs, and monitoring systems on GCP and Kubernetes, enabling real-world AI solutions.

Requirements

• Bachelor's degree in Computer Science or related field (Master's preferred).
• 5+ years of experience in ML platform engineering, MLOps, or data infrastructure.
• Expert proficiency in Python, Java, or Go.
• Deep experience with cloud environments (AWS or GCP) and cloud-native services.
• Mastery of Docker and Kubernetes cluster management.

Responsibilities

• Architect and operate resilient ML job execution frameworks covering training, inference, and post-processing.
• Develop API services and developer tooling to orchestrate ML workflows on Kubernetes using Argo Workflows, Helm, Terraform.
• Build scalable batch pipelines with Apache Spark for large-scale ML training and evaluation.
• Design and maintain data infrastructures using Trino, Databricks, monitored with Prometheus and Grafana.
• Collaborate with ML scientists to transform research prototypes into scalable AI products.