Senior Manager leading Data Strategy and DataOps for cybersecurity at Wells Fargo. Building modern cyber data platforms and driving analytics enablement with high - quality security insights.
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Hybrid Associate – Business Analyst, Data Engineering, Cloud Data Engineering
Posted last month
About the role
- Join as an Associate Business Analyst in Data Engineering, leveraging cloud technologies and collaboration with data scientists.
Responsibilities
- Collaborate with data scientist to solve ML model execution related challenges.
- Suggest different solution architecture for overcoming the challenges.
- Manage multiple concurrent tasks and prioritize.
Requirements
- Strong hands-on programming skills in Python with multiple design patterns.
- Strong hands-on expertise in Kubernetes and Docker, having ability to build and optimize container images.
- Experience with Azure/GCP cloud platform, machine learning services and best practices.
- Strong problem-solving abilities with a capacity to quickly dive deep into issues and propose effective solutions.
- Experience in collaborating with data scientist to solve ML model execution related challenges, and able to suggest different solution architecture for overcoming the challenges.
- Experience with machine learning tools among phases in MLOps life cycle such as feature store (FEAST), model registry, problem optimizer (GUROBI) or real-time model serving.
- Preferred Certifications: CKA – Certified Kubernetes Administrator, CKAD – Certified Kubernetes Application Developer.
- Good Understanding of machine learning platforms such as Kubeflow and VertexAI, and frameworks such as XGBoost, PyTorch and TensorFlow.
- Hands-on expertise in SQL.
Job title
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