Senior ML & CV Engineer - Production Forecasting & Vision

Softeq; Polska; Presencial; PLN 180.000 - 260.000; Jornada completa

Descripción de la vacante

Softeq, established in 1997, invites you to join a team delivering end-to-end product development and R&D. The role focuses on moving predictive models from experiment to production, building feature pipelines, and enabling reliable inference across environments.

You will work with Python, PySpark, and Databricks, maintain model endpoints, monitor latency and cost, and own release discipline. This is a hands-on senior ML engineering position in a growing global team, with opportunities to

Formación

• Production-grade Python and PySpark; Spark SQL proficiency.
• Databricks development & orchestration, job clusters, policies.
• Unity Catalog: grants, lineage, environment separation.
• Working Delta Lake knowledge: time travel, versioning.
• MLflow: experiment tracking, model registry.
• Feature storage and reuse, with consistent computation between training and inference.
• Hands-on experience operating models in production: monitoring, drift, retraining, incidents.
• Time-series and forecasting methods.
• Git, CI/CD, containers, secure handling of secrets.

Responsabilidades

• Moves predictive models from experiment into regular operation: delay and duration forecasting, congestion forecasting, cost estimation, anomaly detection.
• Builds and maintains feature pipelines over the curated data layer, with a documented catalog of model inputs and their lineage.
• Makes training sets reproducible through table versioning and access to historical data states.
• Runs batch and near-real-time inference as platform jobs wired into the existing dependencies and schedules.
• Publishes models as endpoints for the application to consume, and watches latency and cost per call.
• Owns release discipline: versioning, retraining, rollback, promotion of models across environments.
• Provides quality monitoring, drift detection on inputs and outputs, input validation and explainability support.

Conocimientos

Python

PySpark

Spark SQL

Time-series forecasting

Model monitoring

CI/CD

Git

Herramientas

Databricks

Unity Catalog

Delta Lake

MLflow

Containers

Azure

Descripción del empleo

Softeq, established in 1997, invites you to join a team delivering end-to-end product development and R&D. The role focuses on moving predictive models from experiment to production, building feature pipelines, and enabling reliable inference across environments.

You will work with Python, PySpark, and Databricks, maintain model endpoints, monitor latency and cost, and own release discipline. This is a hands-on senior ML engineering position in a growing global team, with opportunities to