Job Description

Job Title:

• MLOps Engineer to work on AWS GovCloud Databricks
• Bachelor's degree in computer science, Engineering, Applied Mathematics or related field
• This position may be offered to a candidate authorized to work in the US for his/her/their stated employer, without any restrictions which would prevent the candidate from working on the proposed assignment for the duration of the assignment period.
• 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

Required Skills : AWS Cloud Formation

Basic Qualification :

Additional Skills :

Background Check : No

Drug Screen : No

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