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Open nowPosted 4 days ago

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

Workable (global search)107,990 open roles

Where
Paiania, Attica, Greece
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Your applicationOpen nowAI/ML Engineer - Predictive Analytics & Time-Series ForecastingWorkable (global search) · Paiania, Attica, Greece

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Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 6 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.0%30 days
This job: posted 4 days ago

Workable (global search) median: 6 days open

The posting

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.

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