ML Engineer

JD: Bachelor's degree in a STEM field such as Statistics, Math, Engineering, Information Systems, etc. 7+ years of work experience deploying and maintaining Client pipelines in production 7+ years of work experience with Docker and containerization. 7+ years of work experience with Kubernetes and container orchestration platforms. 7+ years of work experience with Python, Java, Scala, or Go development. 7+ years of work experience with cloud platforms (e.g., IBM Cloud, AWS, GCP, and/or Azure) with particular experience with Client & Data offerings operating and deploying solutions using AWS Service including, but not limited to, S3, EKS, EMR, Athena, Glue, Lambdas, Athena, Kinesis, MSK, Sagemaker, SQS and SNS (or correlated offerings on other cloud platforms). 7+ years of work experience with CI/CD tools (e.g., Jenkins, TravisCI, Bamboo). Good communication and presentation skills to explain technical solutions to either technical peers or non-technical stakeholders.

Preferred Skills Master's degree in a STEM field such as Statistics, Math, Engineering, Information Systems, etc. 3+ years of work experience with infrastructure-as-code (e.g., Terraform, Ansible, Chef). 7+ years of work experience with Apache spark 10+ years of work experience with cloud platforms such as IBM Cloud, AWS, GCP, and/or Azure