We are looking for a Senior Data & AI Platform Engineer with robust expertise in data architecture, database design, and scalable system development. The ideal candidate should have a deep understanding of data engineering concepts, contemporary data platforms, and the ability to design robust, scalable back-end systems and data pipelines.
Key responsibilities:
Design and develop scalable back-end systems
Define and implement data architecture and database design strategies
Build and optimize data ingestion and transformation pipelines
Develop and maintain unified data models across multiple systems
Design end-to-end data flows and integration strategies
Collaborate with cross-functional teams to ensure efficient data handling and processing
Ensure system scalability, performance, and reliability
Machine Learning & AI Integration
Work closely with the AI/ML team to understand data requirements for model training, feature engineering, and pipeline development
Prepare, validate, and deliver clean, structured data to support AI/ML systems and intelligent workflows




Consume and integrate outputs from ML models into data pipelines and backend systems
Maintain awareness of ML concepts to effectively collaborate with AI/analytics teams
Core Technical Skills
Back-end & System Design
Expertise in system scalability and performance optimization
Solid understanding of distributed systems and back-end architecture
Data Engineering Concepts (IMPORTANT)
Strong knowledge of data modelling (OLTP vs OLAP)
Strong knowledge of data lake architecture (primary) and data warehousing concepts
Robust knowledge of REST APIs and API design (FastAPI / Flask / Django)
Core Platforms & Technologies (Required)

Strong working knowledge of:
Relational databases - strong hands-on experience required (e.g. PostgreSQL, MS SQL Server, MySQL)
Non-relational / NoSQL databases - working knowledge required (e.g. MongoDB, SQLite, TimescaleDB, Redis)
Graph databases - und

📌 Senior Data Thiruvananthapuram (India)
🏢 Times World Information Technology
📍 India