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Comping is a software company developing cloud-based tools for eCommerce businesses. Its platform brings together analytics, marketing automation, and inventory management to help online retailers understand sales, engage customers, and manage stock.
Machine Learning Engineer (Hybrid, Croatia)
Build and deploy predictive and time-series models for Comping’s digital solutions. Monitor production performance and model drift, retrain models, and work with data engineers on data preparation.
Description
- Develop, evaluate, and optimize predictive models, including time-series forecasts.
- Deploy models to production and monitor their performance and drift, retraining them as needed.
- Work with data engineers to retrieve and prepare data.
- Lead model implementation from start to finish with support from the team lead.
Requirements
- 2–5 years of hands-on machine learning experience
- Strong knowledge of Python (Pandas, scikit-learn, TensorFlow or PyTorch, and XGBoost) and SQL
- Experience deploying and maintaining machine learning models in production, beyond notebooks
- Experience with time-series forecasting
- A degree in computer science, mathematics, physics, or a related field, such as from FER or PMF
- Ability to work independently and explain results clearly to non-technical stakeholders
- Experience with IBM tools such as Cloud Pak for Data, Watson ML/OpenScale, or watsonx.ai, or similar machine learning platforms
- Experience with model monitoring and management tools for drift and explainability
- Knowledge of PySpark and big data ecosystems such as Cloudera, Kafka, or Impala
- Knowledge of probabilistic forecasting
- Knowledge of the energy sector or experience working with meteorological data
Benefits
- Work on production machine learning systems from initial concept and first model through implementation, monitoring, and model management
- Own the models you develop and influence technical decisions on the project
- Funding for professional certifications, such as IBM watsonx.ai or Cloud Pak for Data
- Opportunities to build expertise in MLOps, big data technologies, and the energy sector
- Flexible working hours
- Short Fridays, with work ending by 2 p.m.
- 25 days of annual leave for all employees
- A paid day off for your Comping work anniversary
- Childcare subsidy
- Financial gift for the birth of a child
- A day off for parents on their child’s first day of school
- Christmas gift for children
- Financial St. Nicholas Day gift for children
- One day off per month for parents of children with disabilities to attend appointments
- Supplementary health insurance
- Internal training
- Professional development training
- Conferences and events
- Mentoring program
- Team-building activities
- Internal events
- MultiSport membership
- Support for charitable community initiatives
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