AI/ML Engineer | Pan India | 6 to 12 Years

Role: AI/ML Engineer

Location: Bangalore | Noida | Pune | Gurgaaon | Hyderabad | Chennai | Mumbai

Experience: 4 to 7 years and 7 to 12 Years

Immediate Joiners Only

Job Description:

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.

Nice to Have Skills

Neo4j or Memgraph for Graph RAG use cases.

Infrastructure as Code: Terraform or Bicep.

Azure Functions or event-driven architectures.

Optimization strategies for retrieval and inference pipelines.

Experience connecting LLM agents with workflow engines.