AI/ML Engineer |5+ Yrs || Pan India

JD:

Technical Skills – Mandatory

AI & LLM Engineering:

• • Agentic AI frameworks: LangGraph, LangChain Agents, multi-agent orchestration.
• • RAG expertise including Standard RAG, Agentic RAG, and Graph RAG.
• • LLM API integration with Azure OpenAI, OpenAI, Anthropic.
• • Prompt engineering, structured outputs, and evaluation frameworks.
• • Vector databases such as Azure AI Search, Pinecone, Chroma, and Weaviate.

Machine Learning (Enterprise-Level Models):

• • Prophet – enterprise-grade time series forecasting.
• • XGBoost – widely used for high-performance tabular ML.
• • LightGBM – optimized boosting framework for large-scale training.
• • CatBoost – efficient model for categorical-heavy datasets.
• • ARIMA/SARIMAX – classical models for financial and operational forecasting.
• • Neural Networks using PyTorch or TensorFlow.
• • Hugging Face transformer models including BERT, RoBERTa, and others.
• • AutoML frameworks such as Azure AutoML or H2O Driverless AI.
• • Embedding models including text-embedding-3-large, Instructor-XL, and E5-large.

Cloud, DevOps & Deployment (Azure):

• • Azure Container Apps.
• • Docker with multi-stage builds.
• • Kubernetes / AKS.
• • Redis Cache.
• • Cosmos DB.
• • GitHub Actions / Azure DevOps CI/CD.
• • Application Insights and Azure Monitor for observability.