As a Data Scientist / AI Engineer / Generative AI Engineer, your role will involve the following key responsibilities and qualifications:Role Overview:You will be responsible for developing Data Science, Artificial Intelligence, Machine Learning, Deep Learning, NLP, and Generative AI applications.Key Responsibilities:- Hands-on experience in Python programming, backend development, API development, and providing production-grade application support.- Working with Machine Learning and Deep Learning frameworks including PyTorch, TensorFlow, Keras, and Scikit-learn.- Implementing NLP use cases such as text classification, sentiment analysis, entity recognition (NER), semantic search, embeddings, and document understanding.- Experience with Large Language Models (LLMs) like GPT, LLaMA, Mistral, Phi, Claude, Gemini, or similar models.- Building or implementing Retrieval Augmented Generation (RAG) solutions, vector search, semantic search, or knowledge-based AI applications.- Familiarity with Prompt Engineering and Generative AI frameworks such as LangChain, LangGraph, AI Agents, Azure OpenAI, or similar technologies.- Developing, consuming, or integrating APIs using Python frameworks like FastAPI, Flask, or similar technologies.Qualifications Required:- 3 years of hands-on experience in Data Science, Artificial Intelligence, Machine Learning, Deep Learning, NLP, or Generative AI application development.Please note that the above qualifications and responsibilities are essential for this position.



As a Data Scientist / AI Engineer / Generative AI Engineer, your role will involve the following key responsibilities and qualifications:Role Overview:You will be responsible for developing Data Science, Artificial Intelligence, Machine Learning, Deep Learning, NLP, and Generative AI applications.Key Responsibilities:- Hands-on experience in Python programming, backend development, API development, and providing production-grade application support.- Working with Machine Learning and Deep Learning frameworks including PyTorch, TensorFlow, Keras, and Scikit-learn.- Implementing NLP use cases such as text classification, sentiment analysis, entity recognition (NER), semantic search, embeddings, and document understanding.- Experience with Large Language Models (LLMs) like GPT, LLaMA, Mistral, Phi, Claude, Gemini, or similar models.- Building or implementing Retrieval Augmented Generation (RAG) solutions, vector search, semantic search, or knowledge-based AI applications.- Familiarity with Prompt Engineering and Generative AI frameworks such as LangChain, LangGraph, AI Agents, Azure OpenAI, or similar technologies.- Developing, consuming, or integrating APIs using Python frameworks like FastAPI, Flask, or similar technologies.Qualifications Required:- 3 years of hands-on experience in Data Science, Artificial Intelligence, Machine Learning, Deep Learning, NLP, or Generative AI application development.Please note that the above qualifications and responsibilities are essential for this position.

📌 Data Scientist / AI Engineer (India)
🏢 Staffnixcom
📍 India