Senior Data & AI Platform Engineer

We are looking for a Senior Data AI Platform Engineer with strong expertise in data architecture, database design, and scalable system development. The ideal candidate should have a deep understanding of data engineering concepts, modern data platforms, and the ability to design robust, scalable backend systems and data pipelines. Key Responsibilities Design and develop scalable backend systems using Python 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 Design and implement ML-enabled components (e.g., pattern detection, relationship mapping, anomaly detection) and integrate them into backend systems and APIs Work with structured and unstructured data to support AI-driven insights, including data preparation, feature engineering, and pipeline development Collaborate with AI/analytics teams to deploy, monitor, and optimize ML models within production environments Core Technical Skills Backend System Design Strong experience in Python development Expertise in system scalability and performance optimization Solid understanding of distributed systems and backend architecture Data Engineering Concepts (VERY IMPORTANT) Strong knowledge of data modelling (OLTP vs OLAP) Understanding of data warehousing concepts Experience with data lake architecture Strong knowledge of REST APIs (Flask/Django/FastAPI) Platforms (Highly Preferred) Hands-on experience or strong understanding of: Snowflake BigQuery Modern data lake systems 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 backend architectures Define and manage data flow across systems Guide integration strategies between multiple services and platforms Requirements (Qualifications / Experience / Competencies) 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 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 Experience 6-8 years of experience Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.