AIML Engineer

Time Series Modeling. The candidate will develop, deploy, and optimize forecasting

models to improve business planning, inventory management, and sales forecasting.

Key Responsibilities

• Develop and optimize demand forecasting models.
• Build data pipelines and perform feature engineering.
• Analyze forecasting accuracy and improve model performance.
• Deploy and monitor ML models using MLOps practices.
• Collaborate with business and technical teams to deliver forecasting solutions.
  
  

Required Skills

• Python, SQL
• Scikit-learn, XGBoost/LightGBM
• Time Series Forecasting (Prophet, ARIMA, Lag Features)
• Pandas, NumPy
• FastAPI/REST APIs
• MLflow, Docker
• Git