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MLOps Engineer - Remote
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- Your expertise in Python, shell scripts, SageMaker, IaaC (Ansible, Terraform), CI tools, Docker, Kubernetes and similar tools will drive efficiency and performance.
- As an integral part of our team, you will not only need to tackle operational challenges at every layer of the system infrastructure, but also set up essential tools like Spark, Databricks, Snowflake, Kubernetes, and Kafka for data science infrastructure.
- Work with seniors as well as Data Engineering and IT to plan and deliver MLOps for AI/ML infrastructure and SaaS API services as member of data science team through collaboration
- Build automation for CI/CD and SaaS API delivery on AWS, Azure, Elastic and Snowflake.
- Configure and maintain systems such as Kubernetes (Helm, Charts, ArgoCD), Kafka, Spark, Elastic, Bitbucket / GitLab, Nexus, and Jenkins.
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