ML Engineer

130 - 140 PLN/ godz./ godz.B2BB2B (netto)

SeniorZdalnie·GliwiceFull-time·B2B

#474544·Dodano dziś·0

Źródło: justjoin.it

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Tech Stack / Keywords

Machine Learning Python

Podsumowanie oferty

Join a project developing and deploying machine learning solutions for business decisions and marketing performance. You will build production-ready ML models, integrate their predictions with external platforms, and develop scalable data and ML workflows on Google Cloud Platform (GCP).

Wymagania

5+ years of hands-on experience in Python-based Machine Learning Engineering, including ownership of deployed models and writing reliable, production-grade code.
Proven experience integrating ML predictions with external platforms via APIs to enable automated actions such as campaign optimization, recommendations, or pricing decisions.
Advanced SQL and BigQuery skills, particularly in feature engineering, data validation, and recurring data transformations.
Practical experience deploying ML workloads on GCP, including Vertex AI, Pub/Sub, Cloud Run, and Composer/Airflow.
Production experience with gradient-boosting algorithms such as LightGBM, CatBoost, or XGBoost, including model tuning and evaluation using business-relevant metrics.
Understanding of prediction calibration and the ability to assess how model errors affect downstream business decisions.

Strongly preferred:

Experience with entity matching or identity resolution, connecting customer records and events across multiple systems.
Experience with purchase propensity, customer retention, segmentation, or Customer Lifetime Value (CLV/LTV) models, preferably in e-commerce or DTC environments.
Experience delivering server-side conversion signals to advertising platforms such as Google Ads or Meta.
Knowledge of Bayesian methods and probabilistic customer models, including BG/NBD and Gamma-Gamma.

Nice to have:

Experience with experimentation, causal inference, or multi-armed bandit methods applied to marketing investment optimization.
Familiarity with Docker, Terraform, and automated CI/CD pipelines.
Experience using AI-powered coding assistants such as Cursor or Claude Code.

Obowiązki

Build production-ready machine learning models.
Integrate model predictions with external platforms.
Develop scalable data and machine learning workflows on Google Cloud Platform (GCP).

Inne informacje

The role is remote within Poland.
Start date: 30 November 2026.
Contract duration: 12 months.

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