Senior ML Engineer: End-to-End Production Models

Xebia; Poland; On-site; PLN 180,000 - 260,000; Full time

Job summary

Xebia, a global AI-first engineering partner, seeks a senior ML engineer to own end-to-end models—from problem framing to deployment and monitoring—across caller identity, fraud detection and personalization.

You will code in Python with SQL on large-scale data (BigQuery or equivalent), design offline evaluations, run A/B tests, and build reusable tooling for production ML. EU work eligibility is required.

Qualifications

• Several years of hands-on experience building and shipping machine-learning models to production.
• Strong Python and SQL skills, with experience working with large-scale data in BigQuery or a similar data warehouse.
• Experience with gradient boosting and ranking, and deep learning using TensorFlow/Keras or PyTorch, including GPU training.
• Experience designing offline evaluations that predicted online results and running A/B tests.
• Experience with data and ML pipelines using Airflow, dbt and Spark, or running training jobs on Kubernetes.

Responsibilities

• Owning models end to end across caller identity, business identification, spam and fraud detection: problem framing, data, training, evaluation, deployment and monitoring.
• Working on ranking, classification, graph, personalisation and LLM-based models.
• Setting the team’s evaluation standards through backtests, false-positive checks, shadow runs and A/B tests.
• Building shared tooling with reusable evaluation harnesses, experiment tracking, project templates and workflows to production code.
• Collaborating with product stakeholders to turn problems into modelling goals and clear success metrics.
• Sharing responsibility for model monitoring and incident handling, including drift detection.
• Documenting decisions and results in short, reproducible analyses.

Skills

Python

SQL

BigQuery

Machine learning

TensorFlow/PyTorch

Airflow/dbt/Spark

Kubernetes

Tools

TensorFlow

PyTorch

MLflow

Airflow

dbt

Spark

Job description

Xebia, a global AI-first engineering partner, seeks a senior ML engineer to own end-to-end models—from problem framing to deployment and monitoring—across caller identity, fraud detection and personalization.

You will code in Python with SQL on large-scale data (BigQuery or equivalent), design offline evaluations, run A/B tests, and build reusable tooling for production ML. EU work eligibility is required.