AIML Engineer

People Prime Worldwide; Nagpur District; On-site; INR 900,000 - 1,300,000; Full time

Job summary

People Prime Worldwide seeks an AI/ML Engineer in India to develop and deploy demand forecasting models that enhance inventory planning and sales forecasts.

You will build data pipelines, perform feature engineering, monitor model performance, and collaborate with business and technical teams to deliver forecasting solutions using MLOps and modern tools.

Qualifications

• Proficiency in Python and SQL for data processing.
• Experience with time series forecasting methods and tools.
• Ability to build data pipelines and perform feature engineering.
• Experience deploying ML models with MLOps practices and APIs.
• Familiarity with Git, Docker and API development.

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.

Skills

Python

SQL

Time Series Forecasting

Pandas

NumPy

FastAPI/REST APIs

MLflow

Docker

Git

XGBoost/LightGBM

Prophet/ARIMA

Tools

Scikit-learn

XGBoost/LightGBM

Power BI

Azure DevOps

GitHub Actions

Job description

Role & responsibilities

We are looking for an AI/ML Engineer with experience in Demand Forecasting and 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

Good to Have

• Power BI


• LLMs, LangChain, AI Agents


• Retail/Supply Chain or Demand Forecasting domain experience


• Azure DevOps or GitHub Acti

Preferred candidate profile