What are the responsibilities and job description for the MLOps Engineer position at SumasEdge Corporation?
JD -
recommend focusing on candidates with strong experience in Vertex AI-based batch processing pipelines. The candidate should demonstrate a solid understanding of:
- End-to-end ML pipeline components:
o Data preprocessing
- Batch prediction workflows
- Post-processing activities
- Building and orchestrating ML pipelines using:
o Kubeflow Pipelines (KFP components)
- Google Cloud Dataflow (including Flex Templates)
- Vertex AI services
Additionally, candidates should be comfortable with:
- Writing SQL queries for data preprocessing and post-processing tasks
- Developing Python-based workflows to integrate and orchestrate multiple pipeline components
- Deploying and managing batch prediction jobs in Vertex AI
- Data engineering concepts and large-scale data processing
- Strong SQL and data engineering expertise would be a significant advantage.