Job Description
We’re looking for an experienced senior machine learning engineer who specializes in time series forecasting, anomaly detection, and classical ML techniques. You will be responsible for developing predictive models and data-driven systems.
Responsibilities:
- Design and implement models for time-series forecasting, classification, and anomaly detection.
- Build full ML pipelines from data ingestion and preprocessing to deployment.
- Perform exploratory data analysis and statistical modeling.
- Collaborate with data engineers and product teams to align with business needs.
Requirements:
- 3+ years of experience in machine learning and data science.
- Strong proficiency in Python and ML libraries: scikit-learn, XGBoost, LightGBM, etc.
- Experience with time series tools such as Prophet, ARIMA, LSTM, or Temporal Fusion Transformers.
- Solid understanding of feature engineering, cross-validation, and model evaluation.
- Familiarity with ETL pipelines, SQL, and working with large-scale datasets.
