▸ 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)
Linker Vision (previously Linker Networks) was founded in 2013 by Paul Shieh in Boston. We develop AI platforms to accelerate vision AI time-to-value for autonomous vehicles, robotics, and workplace safety solutions.