▸ Participate in the entire development lifecycle of the MLOps platform
▸ Design robust and scalable systems and implement new functionality and product enhancements
▸ Identify potential system performance bottlenecks and improve them
▸ Translate vague business requirements into practical and dividable user stories
▸ Provide technical guidance to colleagues and establish a developer-friendly environment.
▸ Build reusable code and libraries for future use

▸ Proficient in Python and Experience Python web frameworks (We use Django & Django Rest Framework)
▸ In-depth understanding containerized technologies and management tools (e.g Docker, Kubernetes, Helm)
▸ Experience in parallel task processing.
▸ Familiar with RDBMS (We use PostgreSQL) and having experience of performance tuning
▸ Familiar with cloud platforms (e.g. Azure, AWS, GCP)
▸ Familiar with writing unit tests, integrations tests and automation
▸ Experience in CI/CD tools (e.g. Github Action, Jenkins and Drone CI)

Add-On Value
▸ Experience in designing the architecture of Elastic Stack components
▸ Knowledge of infrastructure-as-code concepts and experience in tools (e.g. Terraform, Ansible, etc.)
▸ Knowledge of monitoring and log analysis tools (e.g. Grafana, Prometheus, Loki, etc.)
▸ Experience in developing SaaS products.
▸ Experience in Deep learning / Computer Vision / Image Process / Face Recognition related tools (e.g. TensorFlow, PyTorch, OpenCV or dlib, etc.)
▸ Big Data Experience (e.g. Airflow, Hadoop, Kafka, Apache Spark, Cassandra, etc.)
▸ Aware of all sorts of agile ceremonies (e.g. user story grooming, sprint planning, sprint retrospective)