Senior Data & AI Platform Engineer - Immediate Hiring

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
Strong 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 - understanding of graph data models (e.g. Apache AGE, Neo4j concepts)
Comfortable working across multi-database environments - relational, time-series, graph, and cache layers in a single architecture
Good to Have: Hands-on experience with modern data tools such as Kafka, Airbyte, S3/ADLS, Snowflake, or similar platforms

Data Ingestion & Processing
Ability to design and implement: 

Data ingestion pipelines
Data transformation layers (ETL/ELT)
Unified and scalable data models
System Thinking & Architecture
Ability to:

Design scalable back-end architectures
Define and manage data flow across systems
Guide integration strategies between multiple services and platforms 
Good to Have

Experience with cloud platforms (AWS / GCP / Azure)
Exposure to real-time data processing systems
Knowledge of ML data pipelines or analytics workflows
Experience using Python for data ingestion pipelines, transformation scripts, and automation workflows is an advantage
What We’re Looking For

Passion for experimenting with new tools, frameworks, and ideas
Ability to quickly prototype and iterate on features
Interest in blending creativity with engineering
Comfort working in less rigid, exploratory development environments
Strong curiosity and self-learning mindset 
Bonus Points If You

Use AI-assisted coding tools (like GitHub Copilot, Cursor, Antigravity, Claude)
Build side projects, prototypes, or experimental apps
Enjoy rapid MVP development, or creative coding
Stay updated with latest trends in AI, and developer tools

Requirements (Qualifications/Experience/Competencies)
Bachelor's degree in Computer Science, Information Technology, Software Engineering, Data Science, or a related field. A Master's degree in a relevant field is an advantage

5 - 7 years of experience

Ready to Join Us?

If you are passionate about building modern AI-powered products and enjoy working on innovative digital solutions, we would love to hear from you. Immediate joiners are preferred

 

All applications are to be sent by clicking the following link in our website.

https://www.timesworld.com/careers/senior-data-ai-platform-engineer