Mlops Engineer - Only W2

We recommend focusing on candidates with strong hands-on experience in Google Vertex AI-based batch processing pipelines. The ideal candidate should demonstrate expertise in the following areas: End-to-End Machine Learning Pipeline Development • Data pre-processing • Batch prediction workflows • Post-processing activities ML Pipeline Development & Orchestration Hands-on experience building and orchestrating machine learning pipelines using: • Kubeflow Pipelines (KFP Components) • Google Cloud Dataflow (including Flex Templates) • Google Vertex AI services Technical Skills Candidates should also be proficient in: • Writing SQL queries for data preprocessing and post-processing tasks • Developing Python-based workflows to integrate and orchestrate multiple pipeline components • Deploying, monitoring, and managing Vertex AI Batch Prediction jobs • Applying data engineering principles for large-scale data processing Preferred Qualifications • Strong expertise in SQL and Data Engineering • Experience designing scalable, production-grade data and ML pipelines • Familiarity with GCP ecosystem and best practices for ML workflow automation Note: Candidates with a strong background in SQL, Data Engineering, Vertex AI, Kubeflow Pipelines, and Google Cloud Dataflow will be highly preferred.