Software Engineer with ML and Data Skills

VirtusLab is a leading European software consulting and engineering company. Their mission is to craft clean code and practical solutions with precision and purpose. The company fosters a dynamic culture rooted in strong engineering, a sense of ownership, and transparency, empowering professionals to make a substantial impact in the software industry.

• Strong Python and production ML skills with experience shipping models into production pipelines.
• Hands-on experience with classic ML techniques for data quality issues: unsupervised anomaly detection (kNN, Isolation Forest, autoencoders) and clustering on real-world tabular data.
• Practical experience combining classic ML with LLMs for reasoning, false-positive filtering, and anomaly verification.
• Solid data engineering background with tools like Airflow, Spark/Dataproc, BigQuery, Snowflake, Iceberg/Trino.
• Experience with production toolchain including GCP, Docker, Terraform, CI, and MLflow.
• Pragmatic, product-oriented approach focused on incremental value delivery and integration.
• Professional fluency in English for technical and business discussions in an international environment.

• Productionizing Anomalsky on GCP and scaling it to operational, organization-wide use.
• Evolving the ML / LLM / human-in-the-loop design and the feedback loop that turns expert reviews into reusable knowledge.
• Prototyping the low-latency real-time variant.
• Integrating Anomalsky into existing workflows, starting with Acquisition.