ML Ops Engineer to drive the full lifecycle of machine learning solutions—from data exploration and model development to scalable deployment and monitoring. This role bridges the gap between data science model development and production-grade ML Ops Engineering.
Key Responsibilities
Develop predictive models using structured/unstructured data across 10+ business lines, driving fraud reduction, operational efficiency, and customer insights.
Leverage AutoML tools (e.g., Vertex AI AutoML, H2O Driverless AI) for low-code/no-code model development, documentation automation, and rapid deployment
Develop and maintain ML pipelines using tools like MLflow, Kubeflow, or Vertex AI.
Automate model training, testing, deployment, and monitoring in cloud environments (e.g., GCP, AWS, Azure).
Implement CI/CD workflows for model lifecycle management, including versioning, monitoring, and retraining.
Monitor model performance using observability tools and ensure compliance with model governance frameworks (MRM, documentation, explainability)
Collaborate with engineering teams to provision containerized environments and support model scoring via low-latency APIs
Qualifications
Strong proficiency in Python, SQL, and ML libraries (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch).
Experience with cloud platforms and containerization (Docker, Kubernetes).
Familiarity with data engineering tools (e.g., Airflow, Spark) and ML Ops frameworks.
Solid understanding of software engineering principles and DevOps practices.
Ability to communicate complex technical concepts to non-technical stakeholders.
Numbers & Facts
Location
San Leandro, CA
Industry
Other/Not Classified
Company Size
100 to 499 employees
Skills
Amazon Web Services (AWS)unmatched
Application Programming Interface (API)unmatched
Artificial Intelligence (AI)unmatched
Automationunmatched
Cloud Computingunmatched
Communication Skillsunmatched
Continuous Deployment/Deliveryunmatched
Continuous Integrationunmatched
Customer/Client Researchunmatched
Data Modelingunmatched
Data Scienceunmatched
DevOpsunmatched
Dockerunmatched
Documentationunmatched
Documentation Modelsunmatched
Environmental Monitoringunmatched
GCP (Good Clinical Practices)unmatched
Machine Learningunmatched
Maintain Complianceunmatched
Microsoft Windows Azureunmatched
Performance Analysisunmatched
Performance Modelingunmatched
Predictive Modelingunmatched
Python Programming/Scripting Languageunmatched
SQL (Structured Query Language)unmatched
Scalable System Developmentunmatched
Software Engineeringunmatched
Structured Dataunmatched
Unstructured Dataunmatched
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