Description

You will build and deliver MLOps platforms and Gen AI solutions on GCP to support data scientists and business users.

Responsibilities

• Deliver MLOps platforms and Gen AI solutions using Python and GCP tools.
• Collaborate with software engineers, ML engineers, and data scientists to solve AIOps and Gen AI challenges.
• Maintain and manage the existing CI/CD ecosystem and tools.
• Automate and improve CI/CD and release processes.
• Inspect code and scripts to resolve technical issues.
• Standardize machine learning development practices through experimentation and knowledge sharing.
• Lead paired programming sessions for cross-training and problem-solving.

Required Skills

• 3+ years of experience as a backend software engineer in Python.
• 2+ years of experience with Cloud Engineering and services.
• Proficiency in Python and C/C++ with advanced object-oriented or object-functional programming knowledge.
• Experience with MLOps and Gen AI technologies.
• Experience with ML workflow orchestration tools such as Airflow or Kubeflow.
• Experience with GCP services including Vertex AI, Cloud Function, and BigQuery.
• Experience with container management using Kubernetes and Docker.
• Experience with DevOps tools like Jenkins or Tekton.
• Experience with Infrastructure as Code using Terraform.
• Proficiency in scripting languages such as Bash or PowerShell.
• Bachelor's degree in Computer Science, Computer Engineering, or a similar technical discipline.

Preferred Skills

• Master's degree focused in Computer Science or Machine Learning.
• Experience with Google Kubernetes Engine (GKE).
• Knowledge of Test Driven Development (TDD) and software craftsmanship practices.

Key Skills

Education

Bachelor's degree