ML Engineer (Python/Big Data)

VirtusLab is a leading European software consulting and engineering company. Our mission is to craft clean code and practical solutions with precision and purpose. We foster a dynamic culture rooted in strong engineering, a sense of ownership, and transparency, empowering professionals to make a substantial impact in the software industry. Requirements Senior ML Engineer (Python/Big Data) Details: Required skills: Python : Expert, Airflow: Advanced, BigQuery: Regular Snowflake: Regular, Spark (Dataproc): Advanced, Iceberg: Advanced, AWS/ GCP : Regular What we expect in general? - Strong Python and production ML skills, with a proven track record of shipping models into real production pipelines. - Hands-on experience using classic ML to surface data quality issues at scale: unsupervised anomaly detection (kNN, Isolation Forest, autoencoders) and clustering on messy real-world tabular data. - Practical experience pairing classic ML with LLMs: using models to flag suspicious records and LLMs for reasoning, false-positive filtering, and the final verification of anomalies. - Solid data engineering background across the modern stack (Airflow, Spark/Dataproc, BigQuery, Snowflake, Iceberg/Trino) and the production toolchain (GCP, Docker, Terraform, CI, MLflow). - Pragmatic, product-oriented approach focused on incremental value delivery and seamless integration into existing workflows. - Professional fluency in English, enabling smooth technical and business discussions in an international environment. Originally posted on Himalayas