Senior ML Engineer – Time Series & Data Science

About Us:
We are an AI-driven company developing intelligent systems powered by machine learning and advanced data analytics. We focus on real-world data, including time-series, structured and unstructured sources, to build scalable and predictive systems.

Job Description:
We’re looking for an experienced 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

Perks:

* Exposure to challenging real-world datasets and use-cases
* Remote-friendly environment with flexible hours
* Access to AI/ML infrastructure and mentorship
* Open, research-friendly team culture