Machine Learning Engineer
Job Title: MLOps Engineer to work on AWS GovCloud Databricks
Location: Remote
Visa – Only USC
Job Title: MLOps Engineer to work on AWS GovCloud Databricks
• Bachelor’s degree in computer science, Engineering, Applied Mathematics or related field
Must be an US Citizen and 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
Job Title: MLOps Engineer to work on AWS GovCloud Databricks
Location: Remote
Visa – Only USC
Job Title: MLOps Engineer to work on AWS GovCloud Databricks
• Bachelor’s degree in computer science, Engineering, Applied Mathematics or related field
Must be an US Citizen and 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
