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