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

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

JD:

Technical Skills – Mandatory

AI & LLM Engineering:

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• Agentic AI frameworks: LangGraph, LangChain Agents, multi-agent orchestration.

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• RAG expertise including Standard RAG, Agentic RAG, and Graph RAG.

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• LLM API integration with Azure OpenAI, OpenAI, Anthropic.

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• Prompt engineering, structured outputs, and evaluation frameworks.

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• Vector databases such as Azure AI Search, Pinecone, Chroma, and Weaviate.

Machine Learning (Enterprise-Level Models):

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• Prophet – enterprise-grade time series forecasting.

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• XGBoost – widely used for high-performance tabular ML.

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• LightGBM – optimized boosting framework for large-scale training.

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• CatBoost – efficient model for categorical-heavy datasets.

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• ARIMA/SARIMAX – classical models for financial and operational forecasting.

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• Neural Networks using PyTorch or TensorFlow.

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• Hugging Face transformer models including BERT, RoBERTa, and others.

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• AutoML frameworks such as Azure AutoML or H2O Driverless AI.

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• Embedding models including text-embedding-3-large, Instructor-XL, and E5-large.

Cloud, DevOps & Deployment (Azure):

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• Azure Container Apps.

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• Docker with multi-stage builds.

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• Kubernetes / AKS.

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• Redis Cache.

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• Cosmos DB.

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• GitHub Actions / Azure DevOps CI/CD.

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• Application Insights and Azure Monitor for observability.