- 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

📌 Senior Artificial Intelligence and Machine Learning Engineer (Gurugram)
🏢 Infinites Hr Services Pune
📍 Gurugram