AI / Data Analyst

About the Role

We are looking for an AI / Data Analyst with strong hands-on experience in Generative AI, RAG, Python, SQL, and Data Analytics.

The candidate will be responsible for building AI-powered solutions, working with large datasets, integrating LLMs with databases and APIs, and developing intelligent data-driven systems.

Must-Have Technical Skills

• RAG (Retrieval-Augmented Generation) – Mandatory
• LLM / Generative AI – Hands-on experience
• OpenAI / GPT APIs
• Python – Pandas, NumPy, Scikit-learn
• SQL / Microsoft SQL Server – Strong proficiency
• REST API development and integration
• Prompt Engineering
• Embeddings & Vector Databases
• Data Analysis & Data Cleaning
• Machine Learning fundamentals
• Data Modeling & Feature Engineering
• Git / Version Control

Good to Have

• Ollama and experience running local LLMs
• Hugging Face ecosystem and open-source AI models
• Claude / Anthropic and other commercial LLMs
• Experience working with both commercial and open-source LLMs
• Ability to evaluate, select, integrate, and deploy different AI models based on specific business/technical requirements
• Fine-tuning / training open-source models for specific use cases
• Preparing datasets and training models for particular solutions
• AI Agents / Agentic AI development
• Tool Calling / Function Calling
• Multi-step AI workflows and autonomous agents
• LangChain / LlamaIndex
• FAISS / Pinecone / Chroma or other Vector Databases
• Power BI / Tableau
• Forecasting & Recommendation Models
• Azure AI / Azure OpenAI
• AI application deployment and optimization

Key Responsibilities

• Develop and integrate RAG-based AI applications.
• Connect LLMs with SQL databases, APIs, and structured/unstructured data.
• Build reliable AI systems that retrieve relevant data and generate accurate responses.
• Work with both commercial and open-source AI models and select the appropriate model for each requirement.
• Develop AI Agents capable of using tools, APIs, databases, and business logic.
• Analyze and prepare large datasets for AI/ML applications.
• Develop data-driven prediction and recommendation models.
• Write optimized SQL queries and work with relational databases.
• Build data pipelines and workflows required for AI applications.
• Evaluate and improve AI response accuracy, performance, and reliability.
• Explore and implement fine-tuning/training of open-source models where required.
• Work with development teams to integrate AI solutions into existing applications.

Candidate Profile

• 2–5 years of relevant experience in AI / Data Analytics / Machine Learning.
• Strong programming and analytical problem-solving skills.
• Proven hands-on experience with RAG-based applications.
• Good understanding of databases, APIs, LLMs, embeddings, vector search, and AI application architecture.
• Ability to learn and work with new AI models and frameworks quickly.
• Candidates should be able to demonstrate real working AI/RAG/Agent projects during the interview.

Core Skills

RAG

• Generative AI
• LLM
• OpenAI
• Claude
• Ollama
• Hugging Face
• Python
• SQL
• Microsoft SQL Server
• Vector Database
• Embeddings
• REST API
• Machine Learning
• Data Analytics
• Prompt Engineering
• AI Agents
• Open-Source Models