Overview
Remote
$30 - $60
Contract - W2
Contract - 6 Month(s)
Skills
Amazon Web Services
Continuous Delivery
Keras
Kubernetes
Machine Learning (ML)
TensorFlow
PyTorch
Python
Machine Learning Operations (ML Ops)
Data Science
Data Engineering
Continuous Integration
PySpark
Job Details
Job Title: MLOps Engineer
Location: Bellevue, WA (Remote Work: 100%)
Remote: Work: 100%
Contract : 5+ Months Contract
This is a high PRIORITY requisition. This is a PROACTIVE requisition
Job Description:
- MLOps Engineer to work on AWS GovCloud Databricks
- Bachelor s degree in computer science, Engineering, Applied Mathematics or related field
- 4-6 years of strong experience with AWS Gov Cloud environments / Export Control / FedRAMP environments
- Overall, 8-10 years of solid experience in the areas of data engineering / machine learning / data science.
- 4-6 years of strong experience with the following machine learning topics: classification, clustering, optimization, deep learning, NLP with Python in a programming intensive role.
- 6-8 years of strong experience in Python / PySpark coding
- 4-6 years of industry experience with popular ML frameworks such as Keras, Tensorflow, PyTorch, HuggingFace Transformers and libraries (like scikit-learn, etc.).
- 4-6 years of experience with ClassicAI/GenAI ML Model Operationalization in Production.
- 4 to 6 years of strong experience in Azure Databricks / AWS Databricks, specializing in End-to-End MLOps architecture, with practical expertise in Databricks Unity Catalog, MosaicAI, serverless solutions, MLOps stacks, and Lakehouse monitoring, among other areas.
- 4-6 years of industry experience with distributed computing frameworks such as Spark, Kubernetes ecosystem, etc.
- 4-6 years of experience with CI/CD Dev Ops process.
- Effective communication skills and succinct articulation
- Experience working with remote and global teams and cross team collaboration
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.