Senior Machine Learning Engineer
Quantiphi (company site, opens in a new tab)4–6 yrsBengaluruOn-siteDirect career pageEst. 18–30 LPA
Posted on 22 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead data preparation, profiling, and end-to-end development of predictive models for demand planning and forecasting using time-series techniques.
- Build, evaluate, and deploy forecasting models (ARIMA, LightGBM, Prophet, LSTMs/Transformers) for sequential data in retail domain context.
- Travel to client office in Bengaluru twice a week to collaborate and present technical work from both technical and business perspectives.
Minimum Requirements
- 4–6 years of hands-on experience in Machine Learning / Data Science focusing on time-series forecasting.
- Strong expertise in time-series forecasting methods, data preparation, and exploratory data analysis with large-scale datasets.
- Advanced proficiency in Python and SQL; experience with AWS (Sagemaker), ML frameworks (pandas, scikit-learn, PyTorch/TensorFlow, statsmodels, Prophet), and MLOps tools (Docker, Airflow, MLflow).
- Must be available to travel to Bengaluru client site twice a week.
Ideal Candidate Profile
- Experienced working independently owning machine learning projects end-to-end from data to deployment with minimal supervision.
- Has retail domain experience, particularly in demand planning, SKU-level forecasting, or stockout prediction.
- Able to communicate complex technical details effectively to business stakeholders and customers.