Senior Software Engineer, Machine Learning (AIXON)

We're looking for an ambitious and technically outstanding Senior Software Engineer, Machine Learning to join our Enterprise Solution Engineering Team, AIXON. You'll design, build, and optimize scalable, high-performance ML infrastructure to power transformative AI solutions.

Requirements

• Architect and operate resilient ML job execution frameworks covering training, inference, and post-processing workflows.
• Develop and maintain API services and developer tooling to orchestrate ML workflows on Kubernetes using Argo Workflows, Helm, Terraform.
• Build scalable, efficient batch pipelines with Apache Spark to support large-scale ML training and evaluation.
• Design and maintain robust data infrastructures using Trino, Databricks and other modern database technologies, monitored with Prometheus and Grafana for high availability and observability.
• Develop tooling that streamlines ML experimentation, accelerates production workflows, and empowers cross-functional teams to innovate rapidly.
• Collaborate deeply with ML scientists to transform research prototypes into reliable, scalable, user-facing AI products.
• Lead cloud infrastructure design and operations on GCP, leveraging managed services such as Google Compute Engine (GCE), Google Kubernetes Engine (GKE), Cloud Storage, Cloud Functions, Cloud Pub/Sub, Cloud SQL, BigQuery, and more.
• Define and implement CI/CD pipelines with tools like Jenkins, Github Action, or ArgoCD to enable seamless, automated deployments.
• Harness distributed computing and parallel programming principles to optimize system resource utilization and performance.