Senior MLOps Engineer (Python & Google Vertex AI)

We are looking for a **Senior MLOps Engineer** with strong expertise in **Python** and **Google Vertex AI** to join our team and streamline the process of deploying, maintaining, and monitoring machine learning models at scale. You will collaborate with cross\-functional teams to migrate systems to the cloud, optimize costs, and enhance system reliability while leveraging advanced AI concepts like Generative AI or Agentic AI to drive innovation. **Responsibilities** * Design and implement ML systems lifecycle from problem framing to deployment * Collaborate with business stakeholders to translate objectives into ML solutions * Develop and automate data and ML pipelines for production use * Orchestrate data preparation workflows using Kubeflow or Airflow * Deploy, monitor, optimize, and maintain machine learning models in production * Utilize Google Vertex AI pipelines to streamline MLOps processes * Develop infrastructure as code for reproducible cloud environments * Ensure the reliability, availability, and scalability of deployed models and systems * Troubleshoot and resolve issues in deployed ML systems * Build robust monitoring frameworks for real\-time model performance evaluation **Requirements** * 3\+ years of experience with MLOps workflows and practices * Knowledge of Google Cloud Platform * Expertise in Google Vertex AI and Google Vertex AI pipelines * Strong understanding of MLOps practices * Proficiency in Python * Experience with Terraform * Experience with scripting languages like PowerShell * Knowledge of monitoring and maintaining ML models in production environments * Background in designing and orchestrating data pipelines using technologies such as Kubeflow or Airflow * Minimum English language level of B1\+ **Nice to have** * Familiarity with Generative AI fundamentals and applications * Knowledge of Google Cloud Dataflow * Skills in Groovy, Jenkins, and Poetry