Description

You will build and maintain reliable infrastructure to support machine learning model development, training, and monitoring.

Responsibilities

• Build and maintain reliable, maintainable infrastructure for ML/AI workloads.
• Write, deploy, and monitor applications across private and public cloud environments.
• Manage data ingestion and analysis tasks using SQL.
• Implement GitOps workflows and manage package dependencies.
• Collaborate through code reviews, pair programming, and structured design processes.

Required Skills

• 4+ years of engineering experience.
• Proficiency in Python, including writing class docstrings and managing dependencies.
• Experience with SQL for data ingestion and analysis.
• Knowledge of ML/AI libraries including Pandas, scikit-learn, TensorFlow, PyTorch, or JAX.
• Experience with Kubeflow and ML/AI lifecycle concepts.
• Strong command line skills in *nix environments.
• Proficiency with Git and GitHub, including writing quality PRs and utilizing GitOps.
• Experience with IaC and cloud deployment using Terraform, Argo CD, or Istio.
• Understanding of networking, security, and cloud-native tooling.

Preferred Skills

• Experience with .Net.

Key Skills

Education

Any Graduate