3+ years of hands-on experience developing and deploying AI/ML applications in production environments.
Robust expertise in Python with NumPy, Pandas, Scikit-learn, PyTorch, and/or TensorFlow/Keras.
Practical experience with Generative AI, LLMs, and domain-specific model fine-tuning, including GPT, LLaMA, Mistral, Claude, Gemini, or similar models.
Proven experience designing enterprise-grade RAG solutions, AI Agents, and agentic/multi-agent workflows using LangChain, LangGraph, CrewAI, LlamaIndex, or equivalent frameworks.
Good knowledge of vector search, vector databases such as Pinecone, Qdrant, FAISS, ChromaDB, or Weaviate, along with knowledge graphs and AI evaluation/observability practices.
Solid understanding of machine learning, deep learning, predictive modeling, classification, NLP, and computer vision,



including image classification, object detection, and segmentation.
Experience deploying scalable AI solutions using Docker, Kubernetes, CI/CD, MLflow, and cloud platforms such as AWS, Azure, or GCP.
Familiarity with AI automation platforms including n8n, Dify, Flowise, or LangFlow.
Ability to convert business requirements into reliable, scalable, and measurable AI solutions.
Solid analytical, communication, collaboration, ownership, and problem-solving skills, with a passion for emerging AI technologies.
Open-source contributions, research publications, or active participation in AI communities will be an added advantage.

📌 Ai/ml Engineer Ahmedabad (India)
🏢 MindInventory
📍 India