Software Engineer with ML and Data Skills
Job Description
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
Software Engineer with ML and Data Skills
Details:
Software Engineer with ML and Data Skills
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
