AI Engineer – Predictive Modelling Platform

ApTask
Bengaluru, Karnataka, India

Role: Senior AI Engineer – CSPX Predictive Modelling Platform

Location: PAN India

Role Purpose

Lead the design, development, deployment, and operationalization of the CSPX Predictive Modelling Platform. Responsible for delivering scalable, secure, and production-ready AI solutions across Data Lake integration, predictive modelling, workflow automation, Power BI integration, EIP deployment, and future Consumer 360 integration.

Key Responsibilities

Solution Design & Technical Leadership

  • Lead technical design and architecture implementation.
  • Define development standards, best practices, and reusable frameworks.
  • Support architecture, security, and governance reviews.
  • Collaborate with Architects, Product Owners, and Platform teams.

Data & AI Engineering

  • Design and implement Data Lake integration.
  • Build and optimize predictive models and AI solutions.
  • Implement model validation, explainability, and version control.
  • Ensure data quality, traceability, and reproducibility.

Application Development

  • Develop and maintain Python, Streamlit, and FastAPI applications.
  • Build Creator-Reviewer workflows and APIs.
  • Integrate modelling services with Power BI and enterprise applications.
  • Support workflow automation and operational efficiency improvements.

DevOps & Production Readiness

  • Containerize applications using Docker.
  • Support CI/CD pipeline implementation and deployment automation.
  • Participate in EIP onboarding and production deployment activities.
  • Implement monitoring, logging, scalability, and resiliency controls.

Security & Governance

  • Implement enterprise security standards and role-based access controls.
  • Support Entra ID, SailPoint, and Azure Key Vault integrations.
  • Participate in validation, DTRA, VQD, and compliance activities.
  • Ensure auditability and operational compliance of AI solutions.

Technologies & Tools

Category

Technologies

Programming

Python, SQL

Analytics & ML

Pandas, NumPy, Scikit-Learn, StatsModels

AI/Modelling

PLS Regression, Statistical Modelling, Optimization Techniques

Application Development

Streamlit, FastAPI

Data Engineering

Azure Data Lake, Databricks, Delta Live Tables

Databases

PostgreSQL, SQL Server

Visualization

Power BI, Plotly, Matplotlib

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