# AI/ML Engineer - Predictive Analytics & Time-Series Forecasting

**Company:** [Intracom Telecom](https://jobs.workable.com/companies/vHfVdaRtJnNZCUSjhWbg6y.md)
**Location:** Paiania, Greece
**Workplace:** hybrid
**Employment type:** Full-time
**Department:** Technology

[Apply for this job](https://jobs.workable.com/view/37e19b59-b191-475b-a5eb-73d087ab3e7a)

## Description

We are looking for an AI/ML Engineer to develop machine-learning solutions for anomaly detection, predictive analytics and time-series forecasting using operational and network data. The role combines ML development with practical software engineering, with emphasis on reliable, explainable and production-ready models.

**Responsibilities**

-   Develop anomaly-detection and time-series forecasting models.
-   Build KPI baselines and identify unusual system behaviour.
-   Design training, validation and rolling-backtest methodologies.
-   Evaluate forecast accuracy, model calibration, false positives and missed detections.
-   Develop probabilistic forecasts and prediction intervals where appropriate.
-   Integrate engineering rules and domain knowledge with ML results.
-   Build reproducible training and inference pipelines and version models, features, datasets and configurations.
-   Work closely with software engineers and domain experts.

## Requirements

-   Degree in Computer Science, Engineering, Data Science or a related field.
-   Strong Python skills and practical experience with pandas, NumPy and scikit-learn.
-   Experience in time-series forecasting, anomaly detection or predictive modelling.
-   Good understanding of ML training, validation, overfitting and data leakage.
-   Experience developing maintainable, tested software using Git.
-   Good written and spoken English.

**Nice to Have**

-   XGBoost, LightGBM, LSTM or transformer-based forecasting.
-   Probabilistic forecasting, quantile prediction and unsupervised anomaly detection.
-   MLflow or similar model-management tools.
-   Docker/Kubernetes and REST APIs.
-   Telecommunications and network-analytics experience.

**Personal characteristics**

-   Strong problem-solving skills, creativity and attention to detail
-   Excellent communication and organizational skills
-   Adaptable, with a strong desire to learn and take on new challenges
-   Open to feedback, collaboration and continuous learning
-   Team-oriented
-   Results-oriented
-   Self-motivated

**Technology Stack**

**Python · pandas · NumPy · scikit-learn · XGBoost/LightGBM · Time-Series ML · REST APIs · Git · Docker/Kubernetes**

## Benefits

**INTRACOM TELECOM** offers an excellent working environment that fosters team spirit, collaboration, and continuous learning. Career progression is based on performance, and we provide competitive remuneration aligned with our core belief: "Our competitive advantage is our human capital."

Additional benefits include:  
✔ Continuous training and professional development to stay ahead of technological advancements.  
✔ An equal opportunity workplace that values diversity, ensuring fair treatment regardless of ethnicity, nationality, religion, disability, gender, sexual orientation, union membership, political affiliation, or age.