Job Posting
Location - Minneapolis, MN (3 days WFO)
Job Description
We are seeking a talented and motivated MLOps Engineer to join our growing team. In this role, you will be responsible for building, deploying, and maintaining scalable machine learning systems and pipelines. You will collaborate closely with data scientists, software engineers, and stakeholders to ensure seamless integration of machine learning models into production environments.
Key Responsibilities
- Design, develop, and maintain scalable ML pipelines and workflows.
- Deploy and monitor machine learning models in production
- Collaborate with cross-functional teams to operationalize ML solutions
- Ensure reliability, scalability, and performance of ML systems
- Implement best practices for model versioning, monitoring, and governance
- Optimize infrastructure and workflows for cost and efficiency
Required Skills & Qualifications
Strong proficiency in Python to implement Data Engineering pipeline
Hands-on experience with Google Cloud Platform (GCP)
Experience working with Vertex AI and Cloud build.
Strong knowledge of BigQuery SQL.