Experience f ine-tuning Large Language Models (LLMs) or working with domain-specific AI models

- 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

- 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

Perks & Benefits

- 5 Days Working
- 20 Paid Leaves per Year
- Family Health Insurance
- Relaxation Area
- Affordable Lunch
- Free Snacks & Drinks
- Open Work Culture
- Market-competitive salary & Benefits
- Festival Celebrations

Job Types : Full-time, Permanent

Pay: ₹500,000.00 - ₹1,200,000.00 per year

Benefits :

- Food provided
- Health insurance
- Paid sick time
- Provident Fund

Experience :

- RAG : 1 year (preferred)
- NLP : 2 years (preferred)
- Agentic AI : 1 year (preferred)

Work Location: In person

📌 Ai/ml Engineer (Science City)
🏢 MindInventory
📍 Science City