5+ years of professional experience as a Machine Learning Engineer, Data/ML Platform Engineer, Backend Engineer working on ML systems, or a similar role. Strong hands-on experience building production-grade ML, data, or analytics pipelines. Advanced Python skills and strong familiarity with the ML/data ecosystem, such as Pandas, scikit-learn, PyTorch, TensorFlow, or similar tools. Proven experience designing and operating complex workflows with Apache Airflow. Strong SQL skills and experience working with relational databases such as PostgreSQL and/or MySQL. Experience working with large-scale analytical data stores, preferably BigQuery. Solid experience deploying and operating applications in cloud environments, preferably GCP. Practical experience with Docker and modern software engineering practices, including testing, version control, code reviews, CI/CD, and observability. Ability to take ownership of ambiguous technical problems and drive them from design to production. Strong communication skills and the ability to collaborate effectively with both technical and non-technical stakeholders.
