Machine Learning Engineer

Overview

Hybrid
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent

Skills

Machine Learning (ML)
Artificial Intelligence
Google Cloud Platform
Python

Job Details

Job Title : Machine Learning Engineer

Location : Arkansas (Hybrid 3 days office )

Duration : Long term contract


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

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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