Senior Software Engineer, Machine Learning (Enterprise Solution)
Tasks
- Architect batch Spark pipelines for training and evaluation
- Build and maintain internal API servers
- Collaborate with ML scientists to deliver product features
- Create tools for ML experimentation
- Deliver AI products with cross functional teams
- Design ML job execution frameworks
- Design and monitor data infrastructure
- Ensure high availability and observability
- Orchestrate ML jobs on Kubernetes
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Spark | Argo Workflows | Data Pipelines | Distributed Computing | Go | Grafana | Helm | Java | Kubeflow | Kubernetes | LLM | MLflow | Machine Learning | Model Serving | PostgreSQL | Prometheus | Python | Terraform
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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