- Minimum of
(2+) years of experience in AI-based application development.

- Experience fine-tuning

Large Language Models

(LLMs) or working with domain-specific AI models

- Experience building production-grade AI applications using

RAG, AI Agents, or multi-agent systems

- Familiarity with Vector Search, Knowledge Graphs, and AI observability/evaluation frameworks

- Experience deploying
AI/ML solutions using Docker, Kubernetes, and cloud-native services

- Contributions to open-source AI projects, research publications, or participation in AI communities is a plus

- Proficiency in Python libraries like NumPy, Pandas, Scikit-learn, and PyTorch/TensorFlow

- Strong understanding of
Machine Learning (ML) and Deep Learning (DL) algorithms

- Hands-on experience with

Computer Vision techniques

(image classification, object detection, segmentation)

- Practical experience with Generative AI and Large Language Models (LLMs) such as GPT, LLaMA, Mistral, Claude, Gemini, or similar models

- Experience building RAG (Retrieval-Augmented Generation) pipelines for enterprise applications

- Hands-on experience building

AI Agents and agentic workflows using frameworks such as LangChain, LangGraph, CrewAI, LlamaIndex, or similar orchestration frameworks





- Familiarity with No-Code / Low-Code AI automation platforms such as n8n, Dify, Flowise, or LangFlow

- Hands-on experience with

Vector Databases

(Pinecone, Weaviate, ChromaDB, FAISS, or Qdrant)

- Experience with classification tasks and building predictive models

- Proficiency with deep learning frameworks:

PyTorch and/or TensorFlow / Keras

- Exposure to
NLP techniques or libraries (NLTK, Hugging Face, spaCy)

- Exposure to cloud platforms such as AWS, Azure, or GCP

- Familiarity with MLOps practices and tools (Docker, MLflow, Git, CI/CD)

- Strong analytical and problem-solving abilities with a passion for solving real-world business challenges

- Ability to translate business requirements into scalable AI and machine learning solutions

- Excellent communication and collaboration skills for working with cross-functional teams and clients

- Self-motivated learner with enthusiasm for exploring emerging AI technologies and industry trends

- Ability to work independently while effectively managing priorities in a fast-paced setting

- Strong ownership mindset with attention to quality, performance, and continuous improvement

📌 Ai/ML Engineer (Ahmedabad)
🏢 MindInventory
📍 Ahmedabad