AI/ML Engineer (Operational Data)

Quick Facts

• Role: AI/ML Engineer (Operational Data)

• Contract: Employment contract (umowa o pracę)

• Work time: 1/4 to 1/1 FTE

• Working mode: On-site; hybrid possible after 3 months

Description

You will create AI/ML solutions from early-stage problem definition through analysis, prototyping, testing, validation, and documentation—focused on operational, time-series, network, and technical/sensor data. You will develop assumptions and AI modules for local or resource-limited environments and validate signals, phenomena, and deviations with experiments and metrics. Outputs may include risk methodologies/models, security requirements, system architectures, AI modules, test scenarios, and R&D/implementation materials.

Responsibilities

• Develop analysis methods for technical, time-series, network, or operational data

• Prepare assumptions for AI modules running locally or in constrained environments

• Perform literature analysis for AI/ML, local data processing, model robustness, and data quality

• Define types of phenomena, signals, and anomalies requiring validation

• Design experiments, evaluation metrics, and test scenarios

• Collaborate with technology partners on validation in lab/demo environments

• Document research outcomes, limitations, and recommendations

Requirements

• Higher education degree

• Minimum 2 years of professional experience

• Machine learning and data science experience

• Signal analysis or time-series/operational data analysis in Python

• Ability to work with technical/sensor/network data, logs, and operational data

• Experience designing experiments and model evaluation metrics

• Basic knowledge of cybersecurity or system resilience

• Good documentation of work results

Benefits

• Participation in national and international R&D projects

• Flexible working hours

• Training opportunities, including free language courses (English, Spanish, German, Italian)

• Rich benefits package: vacation support, holiday benefits, funding for “green school”

• Private medical care (PZU)

• Sports memberships

• Employee Retirement Program

• Group life insurance