Data Analyst / AI Developer

Data Analyst / AI Developer

1 Nos.
141689
Full Time
2.0 Year(s) To 5.0 Year(s)
Not Disclosed by Recruiter
IT Software - Client Server
B.Tech/B.E. - Computers; BCA/BCS - Computers; MCA - Computers
Job Description:

About Processware Systems

Processware Systems is a technology company specializing in AI-enabled enterprise software, Core Banking Solutions (BankSoft), Digital Banking, Embedded Systems, Aerospace & Defence Software, Enterprise Automation, Cloud Solutions and Artificial Intelligence platforms.

We are looking for an exceptional Data Analyst / AI Developer who can transform enterprise data into business intelligence while developing next-generation AI solutions that improve productivity, automate business processes and create competitive advantages for our customers.

This position reports directly to the CEO due to its strategic importance in driving AI adoption across the organization.

Position Objective

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.

 

 


 

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:

  • 2–4 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

  • Strong 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
Company Profile

--- --- was started in 1989 and has firmly established its position in the software market, as a solutions provider. --- is involved in design and development of various application software to suit the customer's requirements. The process of development is carefully monitored and managed by skilled Project Managers, to meet the time and quality requirements of the Client. --- invests in R&D to bring technology development to Business Problems. By enhancing these solutions regularly, --- enables customers to compete effectively in their chosen markets. --- along with IIM, Bangalore has developed an AI (Artificial Intelligence) based credit appraisal tool to help financial institutions make data driven decisions.

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  • Interested candidates are requested to apply for this job.
  • Recruiters will evaluate your candidature and will get in touch with you.

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