AI/ML Data Scientist - Time Series Forecasting & GenAI

Job Title

AI/ML Data Scientist - Time Series Forecasting & GenAI

Location

CHN/HYD/BLR/PUN/KOL/KOC

Client

Telecommunication

Skills

Python, PySpark, PysparkML, DataProc, Scikit Learn, statistical modelling, Arima, XGboost, BigQuery, SQL, LLM, Langchain, prompt engineering

Salary

21 LPA

Experience

3+ Years

Job Description

Distributed Data Processing using PySpark on DataProc

PySpark-based Feature Engineering

Time Window Aggregation

KPI & Metric Computation

Feature Selection

Feature Importance Analysis for Time-Series Data

Time-Series Forecasting Model Development

ARIMA, SARIMA & SARIMAX

XGBoost Model Development

Gemini LLM Integration

LangChain

Prompt Engineering

Python

SQL

GCP Data & AI Services

Key Responsibilities

Build scalable data processing and feature engineering pipelines using PySpark on DataProc.

Develop forecasting models using ARIMA, SARIMA, SARIMAX, and XGBoost.

Perform KPI computation, time-window aggregations, feature selection, and feature importance analysis.

Design LLM-based reasoning solutions using Gemini, LangChain, and prompt engineering.

Generate business insights by combining time-series forecasts with GenAI-powered reasoning.

Collaborate with business and engineering teams to deliver production-ready AI solutions.