Senior Artificial Intelligence and Machine Learning Engineer

• Role: Senior AI/ML Engineer Forecasting &
• Optimization
• Experience: 7+ Years
• Location: Gurgaon / Bangalore
• Work Mode: Hybrid

Role Overview

As a Senior AI/ML Engineer, you will build next-generation AI-powered forecasting solutions that improve demand planning, pricing optimization, and financial forecasting. You will work on advanced forecasting models, LLM-powered intelligent agents, anomaly detection systems, and closed-loop learning frameworks that continuously enhance model performance.

Key Responsibilities

• Design, develop, and deploy advanced demand forecasting and time-series prediction models.
• Improve forecast accuracy (MAPE/WAPE) using AI-driven modeling and continuous calibration.
• Build closed-loop learning systems with automated model monitoring and retraining.
• Develop real-time anomaly detection engines for pricing, forecasting, and financial planning.
• Build LLM-powered financial insight agents using Prompt Engineering and RAG architectures.
• Deploy scalable ML models using cloud platforms and production APIs.
• Implement model governance, explainability, performance monitoring, and drift detection.

Required Technical Skills

Programming

• Python, SQL, R

Machine Learning &

• Forecasting
• Scikit-learn
• XGBoost
• LightGBM
• TensorFlow
• PyTorch
• ARIMA
• Prophet
• LSTM
• Transformer Models

Generative AI

• GPT, Claude, LLaMA
• Prompt Engineering
• Retrieval-Augmented Generation (RAG)
• Vector Databases (Pinecone, FAISS, Weaviate, Milvus)

MLOps &

• Cloud
• MLflow
• Kubeflow
• SageMaker
• FastAPI
• Flask
• AWS
• Azure ML
• Google Vertex AI

Data Engineering

• Pandas
• PySpark
• SQL
• Feature Engineering
• Data Validation

Preferred Domain Experience

• Financial Forecasting
• Demand Planning
• Supply Chain Analytics
• Pricing &
• Margin Optimization
• Manufacturing Analytics
• Inventory &
• Working Capital Optimization
• Time-Series Forecasting
• Anomaly Detection