DATA SCIENTIST

Protocolzone Private Limited; Ahmedabad District; On-site; INR 800,000 - 1,200,000; Full time

Job summary

Protocolzone Private Limited is seeking a Data Scientist / Gen AI Engineer with 3 years of experience in developing AI-driven solutions focused on Generative AI and LLM applications. The ideal candidate will take ownership of projects end-to-end and translate business problems into scalable AI solutions.

Key responsibilities include building Generative AI applications, designing RAG pipelines, and collaborating with teams to improve model performance. Proficiency in Python and hands-on experience with LLM APIs are essential.

Qualifications

• 3 years of experience in developing AI-driven solutions.
• Experience building Generative AI applications.
• Familiarity with cloud platforms or deployment.

Responsibilities

• Build and deploy Generative AI applications using LLMs.
• Design and implement RAG pipelines.
• Collaborate with product and engineering teams.

Skills

Hands-on experience with LLM APIs

Strong understanding of prompt engineering

Proficiency in Python

Good SQL skills

Tools

FAISS

Pinecone

Weaviate

Docker

Job description

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

We are looking for a Data Scientist / Gen AI Engineer with 3 years of experience in developing AI-driven solutions, with a strong focus on Generative AI and LLM-based applications. The role requires ownership of projects end-to-end and the ability to translate business problems into scalable AI solutions.

Key Responsibilities

• Build and deploy Generative AI applications using Large Language Models (LLMs)
• 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)
• Strong understanding of prompt engineering and evaluation
• Experience building RAG systems and working with vector databases (e.g., FAISS, Pinecone, Weaviate)
• 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)