Ai Ml Engineer

Intellect Design Arena; Hyderabad, Chennai; In loco; INR 1.800.000 - 2.400.000; Tempo pieno

Descrizione del lavoro

Intellect Design Arena seeks a skilled AI/ML engineer to design and implement models using Python, focusing on NLP, generative AI, and LLM-driven applications. You will develop RAG pipelines for document processing and semantic search, and integrate vector stores for efficient retrieval.

Ideal candidates have hands-on ML/DL experience, strong Python skills, and familiarity with LangChain, LangGraph, or LlamaIndex, plus REST APIs and model deployment.

Competenze

• Strong Python programming experience and hands-on ML/DL work.
• Practical NLP and Generative AI knowledge with LLMs.
• Experience with retrieval pipelines and vector stores.

Mansioni

• Design, develop, and implement AI/ML models using Python.
• Build Generative AI apps using LLMs and prompt engineering.
• Develop RAG pipelines for document processing and semantic search.
• Implement NLP solutions: classification, entity extraction, summarization, conversational AI.
• Work with LangChain, LangGraph, or LlamaIndex frameworks.
• Integrate vector databases and embeddings for search and retrieval.
• Fine-tune and optimize ML/LLM models; deploy via APIs and cloud/MLOps.
• Collaborate with engineering and business teams to deliver scalable AI solutions.

Conoscenze

Python programming

Machine Learning

Deep Learning

NLP

Generative AI

LLMs (GPT/Llama)

RAG architecture

Vector search/embeddings

LangChain/LangGraph/LlamaIndex

REST APIs & Git

Strumenti

LangChain

LangGraph

LlamaIndex

LLM deployment

REST APIs

Descrizione del lavoro

Role & responsibilities

• Design, develop, and implement AI/ML models using Python.
• Build Generative AI applications using LLMs and prompt engineering techniques.
• Develop RAG pipelines for document processing, semantic search, and knowledge retrieval.
• Implement NLP solutions such as text classification, entity extraction, summarization, and conversational AI.
• Work with frameworks such as LangChain, LangGraph, or LlamaIndex.
• Integrate vector databases and embedding models for semantic search and retrieval.
• Fine-tune, evaluate, and optimize ML models and LLM-based applications.
• Deploy and monitor AI solutions using APIs, cloud platforms, and MLOps practices.
• Collaborate with engineering and business teams to deliver reliable, scalable AI solutions.

Preferred candidate profile

• Strong programming experience in Python.
• Hands-on experience in Machine Learning and Deep Learning.
• Practical knowledge of NLP and Generative AI.
• Experience working with LLMs such as GPT, Llama, or similar models.
• Strong understanding of RAG architecture, embeddings, vector search, and retrieval pipelines.
• Experience with frameworks such as LangChain, LangGraph, or LlamaIndex.
• Familiarity with REST APIs, Git, and model deployment.