Overview
Skills
Job Details
Job Title: Machine Learning Engineer with Python and Google Cloud Platform
Employment Type: Long term contract
Location: Bentonville, AR(Onsite)
Python (7/10): Solid understanding, but lacks depth in parallelization.
ML Pipelines (4/10): Limited familiarity with projects and pipelines. Responses are generic; unable to articulate model inputs/outputs or evaluation metrics.
SQE/MLE (4/10): Understands concepts and tools at a high level but struggles with hands-on application. Shows some troubleshooting experience. Limited clarity on productionizing models, cloud architecture, and tools like Vertex AI, Kubeflow, and MLflow.
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Below is a table to give an overview of what we're looking for
Skill Area | Items | Must Have / Optional |
Programming Language | Python | Must Have |
SQL | Must Have | |
PySpark | Must Have | |
Machine Learning | Model Pipelines: Training, Inference, Deployment | Must Have |
CICD | Jenkins | Must Have |
Docker | Must Have | |
Kubernetes | Must Have | |
Cloud Platform | Azure Databricks | Must Have |
Google Cloud Platform Databricks | Must Have | |
Google Cloud Platform Vertex AI | Must Have | |
Google Cloud Platform DataProc | Must Have | |
API | Flask/Fast API | Must Have |