MLOps Engineer (39967)

I'm looking for an MLOps Engineer who can support the full ML workflow — from data ingestion to model deployment. You should be confident deploying R models using tools like SageMaker or Databricks and managing versioning of both data and models. Strong CI/CD experience, R/Python skills and AWS knowledge are essential. If you enjoy owning infrastructure and making models production-ready, this might be your next step.

🚀 Project
support data ingestion to model deployment in MLOps workflows
deploy and orchestrate R models using tools like Sagemaker or Databricks
manage data and model versioning
maintain and troubleshoot existing R/Python codebases
orchestrate and support CI/CD pipelines and ML flows
draft and maintain SOP documentation
work with GitHub for version control and collaboration

🎯 Skills
- proficiency in MLOps tools (Sagemaker or Databricks)
- strong CI/CD and monitoring experience
- solid programming skills in R and Python (SAS is a plus)
- experience with version control and package management
- understanding of data modeling, ETL, and big data tools (Hadoop, Spark)
- familiarity with AWS and cloud automation tools
- knowledge of machine learning concepts and RESTful APIs
- ENG C1

💡 Nice to have
- experience with SAS programming
- advanced cloud orchestration skills
- knowledge of JSON, HTTP, and data exchange formats
- experience in SOP documentation drafting