DATA SCIENTIST

Experience: 3 5 years Work Schedule: 5 days a week Location: Ahmedabad 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 [ ]

Experience: 3 5 years

Work Schedule: 5 days a week

Location: Ahmedabad

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, 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)