MLOps Engineer (AWS, Kubeflow) - Remote

Beschreibung

MLOps Engineer

Duration: 3 Month Rolling Project
Location: Remote
Project Language: English

I am working with a Global Consulting company that is starting a 2nd phase with one of their largest customers.

As an MLOps Engineer you will help to build MLOps pipelines to support development, experimentation, CI/CD, verification/validation, and monitoring of AI/ML models.

You will help to improve their MLOps capabilities, from automating the retraining, tuning, monitoring and deployment of ML models to the interfaces that allow various stakeholders, with their own skills and role, to collaborate on ML projects.

About you:
• Passion for high quality, infrastructure-as-code DevOps environments
• 4+ years of experience doing DevOps on AWS
• Ability to automate tasks using python and bash scripts
• Experience with containerization and orchestration tools such as Kubernetes
• Experience with infrastructure-as-code tools such as CloudFormation and Terraform
• Experience managing large relational databases and proficiency in SQL
• Proficiency in Java
• Experience with CI/CD tools such as gitlab and jenkins
• Experience with MLOps.
• Tech Stack: Pandas, Spark, scikit-learn, Keras, TensorFlow, Kubernetes, and many more.