AI/ML Engineer

About the job

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.

Requirements

• AI & LLM Engineering
• Machine Learning
• Cloud
• DevOps

Preferred Technologies

• AI & LLM Engineering
• Machine Learning
• Cloud
• DevOps