Summary
✨ AI‑Generated
Join an AI-focused engineering team building intelligent applications with Python and modern machine learning technologies. You will work across LLMs, NLP, RAG, vector databases, model deployment, MLOps, APIs, workflow automation, and conversational AI. The role also offers hands-on exposure to fine-tuning open-source models and GPU-based workloads.
Highlights
Highly technical AI/ML role spanning LLMs, RAG, vector search, model deployment, MLOps, chatbot development, and model fine-tuning. The position provides broad exposure to modern AI engineering and cloud-native technologies.
Description
Key Responsibilities:
Proficiency in AI & Machine Learning: Hands-on experience with LLMs, NLP, and deep learning frameworks (PyTorch, TensorFlow, LangChain, etc.).API Development & Integration: Experience working with RESTful APIs and third-party AI APIs (OpenAI, Hugging Face, etc.).RAG & Vector Databases: Strong understanding of Retrieval-Augmented Generation and vector search technologies (Pinecone, FAISS, Weaviate, ChromaDB, etc.).AI Model Deployment: Experience with Docker, Kubernetes or similar cloud platforms.Software Development: Proficiency in Python, FastAPI, Flask, or Django for AI integration.AI Workflow Automation: Knowledge of workflow automation tools (Airflow, Prefect, LangChain, etc.).Database Management: Experience with SQL, NoSQL, and vector databases.Experience in AI-powered chatbot development.Familiarity with MLOps practices for model versioning and CI/CD.Knowledge of fine-tuning open-source models like LLaMA, Falcon, Mistral, etc.Hands-on experience with GPU acceleration & model optimization techniques
Job Category: Development
Job Type: Full Time
Job Location: Bhopal
Experience: 2 to 7 Years
Key Responsibilities:
Proficiency in AI & Machine Learning: Hands-on experience with LLMs, NLP, and deep learning frameworks (PyTorch, TensorFlow, LangChain, etc.).API Development & Integration: Experience working with RESTful APIs and third-party AI APIs (OpenAI, Hugging Face, etc.).RAG & Vector Databases: Strong understanding of Retrieval-Augmented Generation and vector search technologies (Pinecone, FAISS, Weaviate, ChromaDB, etc.).AI Model Deployment: Experience with Docker, Kubernetes or similar cloud platforms.Software Development: Proficiency in Python, FastAPI, Flask, or Django for AI integration.AI Workflow Automation: Knowledge of workflow automation tools (Airflow, Prefect, LangChain, etc.).Database Management: Experience with SQL, NoSQL, and vector databases.Experience in AI-powered chatbot development.Familiarity with MLOps practices for model versioning and CI/CD.Knowledge of fine-tuning open-source models like LLaMA, Falcon, Mistral, etc.Hands-on experience with GPU acceleration & model optimization techniques
