Role & responsibilities

The Data Analyst / AI Developer will be responsible for:

- Building enterprise AI applications
- Developing predictive analytics models
- Implementing Generative AI solutions
- Building AI agents
- Supporting strategic decision making through analytics
- Working closely with product teams to embed AI capabilities into software products

Key Responsibilities

Data Analytics

- Collect, cleanse and analyse structured and unstructured data.
- Design enterprise data warehouses and analytical models.
- Build executive dashboards and KPI reporting systems.
- Develop predictive and prescriptive analytics.
- Identify business trends and growth opportunities.
- Generate reports for executive management.
- Perform customer behaviour analysis.
- Conduct financial and operational data analysis.
- Prepare data visualizations using Power BI or equivalent BI platforms.
- Create data quality metrics and governance standards.

Artificial Intelligence Development

Develop AI solutions using:

- Large Language Models (LLMs)
- Retrieval Augmented Generation (RAG)
- AI Agents
- Natural Language Processing (NLP)
- Machine Learning
- Deep Learning
- Recommendation Engines
- Predictive Models
- Conversational AI

Generative AI

Design and implement:

- Enterprise AI Assistants
- Intelligent Search Platforms
- Document Intelligence Solutions
- AI-powered Customer Support
- AI Workflow Automation
- AI Code Generation Assistants
- AI-powered Banking Solutions
- AI-powered Compliance Systems

Product Development

Collaborate with product teams to integrate AI into:

- Core Banking
- Loan Origination
- Fraud Detection
- Credit Scoring
- Treasury
- Risk Management
- Customer Service
- Digital Banking

Data Engineering

- Build scalable ETL pipelines.
- Design data lakes and data warehouses.
- Develop APIs for AI services.
- Integrate enterprise databases.
- Optimize SQL queries.




- Implement data governance standards.
- Ensure data security and privacy.

AI Research

Continuously evaluate emerging AI technologies including:

- OpenAI
- Azure AI
- Microsoft Copilot
- Anthropic Claude
- Google Gemini
- Open-source LLMs
- Agentic AI frameworks
- Vector Databases
- Knowledge Graphs
- Autonomous AI Agents

Recommend adoption strategies aligned with business objectives.

Preferred candidate profile

Technical Skills

The ideal candidate should possess hands-on experience with:

Programming

- Python
- C#
- SQL
- JavaScript
- TypeScript
- .NET

AI & Machine Learning

- TensorFlow
- PyTorch
- LangChain
- Semantic Kernel
- LlamaIndex
- Hugging Face
- Scikit-Learn

Databases

- SQL Server
- PostgreSQL
- MySQL

Development Tools

- Git
- Azure DevOps
- Docker
- Kubernetes
- Visual Studio
- VS Code

Desired Functional Knowledge

Experience in one or more of the following domains is desirable:

- Banking
- Financial Services
- Insurance
- Lending
- Digital Payments
- Manufacturing
- Aerospace
- Defence
- ERP
- CRM
- Enterprise SaaS

Educational Qualifications

Minimum:

- Bachelor's Degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, Statistics, Mathematics or Engineering.

Preferred:

- Master's Degree in AI, Data Science, Computer Science or Business Analytics.

Experience

Essential:

- 2 TO 4 years in Data Analytics, AI Development or Machine Learning.

Preferred:

- Experience building enterprise AI solutions.
- Experience integrating AI into business applications.
- Experience with cloud-native AI platforms.

Soft Skills

- Solid analytical thinking
- Excellent problem-solving ability
- Business acumen
- Strategic thinking
- Excellent communication skills
- Curiosity and continuous learning
- Ability to work directly with senior leadership
- High attention to detail
- Innovation mindset
- Strong presentation skills

Perks and benefits

📌 Data Analyst AI Developer (Bengaluru)
🏢 H Subramaniam
📍 Bengaluru