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