Qualifications and experience:
4 to 6 years Machine Learning and Software Engineering experience Strong analytical and problem-solving skills Expert in Python and SQL Experience with modern software development best practices, e.g. Code reviews Unit testing Version control, e.g. git CI/CD Experience with microservice architectures Experience working in an agile team Experience with ML frameworks and tools (e.g. pandas, Num Py, scikit-learn, Tensor Flow, Pytorch, Spark MLlib) Experience with modern ETL, compute and orchestration frameworks, e.g. Apache Spark, Apache Flink, Apache Kafka, etc. Development experience in both Windows and Linux Experience with container technologies, e.g. Docker, Kubernetes Experience in building machine learning or AI systems Proficiency in R language Experience deploying models to production Experience with No SQL databases Experience working with ML platforms, e.g. MLflow, Kubeflow, etc. Experience worki...