Our team is responsible for building the backend components of MLOps plaBorm on AWS. The backend components we build are the fundamental blocks for feature engineering, feature serving, model deployment and model inference in both batch and online modes.
What you’ll do here
Design & build backend components of our MLOps plaBorm on AWS.
Collaborate with geographically distributed cross-funcMonal teams.
ParMcipate in on-call rotaMon with the rest of the team to handle producMon incidents.
What you’ll need to succeed Must have skills:
At least 3+ years of professional backend web development experience with Python.
Experience with web development frameworks such as Flask, Django or FastAPI.
Experience working with WSGI & ASGI web servers such as Gunicorn, Uvicorn etc.
Experience with concurrent programming designs such as AsyncIO.
Experience with unit and funcMonal tesMng frameworks.
Experience with any of the public cloud platforms like AWS, Azure, GCP, preferably AWS.
Experience with CI/CD practices, tools, and frameworks.
Nice to have skills:
Experience with Apache KaYa and developing KaYa client applicaMons in Python.
Experience with MLOps plaBorms such as AWS Sagemaker, Kubeflow or MLflow.
Experience with big data processing frameworks, preferably Apache Spark.
Experience with container plaBorms such as AWS ECS or AWS EKS.
Experience with DevOps & IaC tools such as Terraform, Jenkins etc.
Experience with various Python packaging opMons such as Wheel, PEX or Conda.
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