Experience: 3 - 5 years

Work Schedule: 5 days a week

Location: Ahmedabad

Notice Period: Immediate joiners are preferred. (Max. 30 Days)

Key Responsibilities
- Design and implement RAG (Retrieval-Augmented Generation) pipelines
- Develop AI agents and agentic workflows capable of multi-step reasoning, tool usage, and task automation
- Work with embeddings, semantic search, and vector databases
- Perform data preparation and basic feature engineering for ML tasks
- Develop and deploy machine learning models for prediction/recommendation use cases
- Collaborate with product and engineering teams to deliver AI solutions
- Monitor and improve model/LLM performance in production

Required Skills:
Generative AI / LLMs
- Hands-on experience with LLM APIs (e.g., Open AI, Google, Microsoft Azure AI)
- Solid understanding of prompt engineering and evaluation




- Experience building RAG systems and working with vector databases (e.g., FAISS, Pinecone, We aviate)
- Familiarity with embeddings and semantic search

Programming & ML
- Proficiency in Python
- Experience with basic machine learning (classification, regression, clustering)
- Familiarity with libraries like pandas, NumPy, scikit-learn

Data & Deployment
- Good SQL skills
- Experience deploying models or APIs (basic MLOps understanding)
- Familiarity with cloud platforms (AWS / GCP / Azure) or Docker

Good to Have
- Experience with frameworks like LangChain or LlamaIndex
- Exposure to production AI systems or real-world deployments
- Basic data visualization (Tableau, Power BI, or Python libraries)

📌 Data Scientist (Ahmedabad)
🏢 ProtocolZone
📍 Ahmedabad