Key Responsibilities
System Architecture & Development: Architect, develop, and maintain robust, full-stack applications and machine learning pipelines, ensuring high availability, scalability, and performance.
MLOps & CI/CD Pipeline Orchestration: Design and manage end-to-end Software Development Life Cycle (SDLC) pipelines, implementing Continuous Integration, Continuous Delivery, and Continuous Training (CI/CD/CT) workflows.
Stakeholder Collaboration: Partner directly with business clients and non-technical stakeholders to understand requirements, present technical roadmaps, and explain complex AI/ML features in an accessible, impact-driven manner.
Code Governance & Mentorship: Lead code reviews, provide constructive feedback on merge requests, and champion engineering best practices across the team.
Data Engineering & Architecture: Design and optimize data ingestion, transformation, and persistence layers, selecting the appropriate storage paradigms (SQL vs. NoSQL) and search technologies to support real-time and batch processing.
AI-Assisted Engineering:



Pioneer the integration of AI-assisted coding tools and "vibe-coding" methodologies into the team's workflow, establishing guardrails, context engineering standards, and validation frameworks to ensure code safety and reliability.
Data Governance & Security: Implement strict data protection, data minimization, and classification standards to ensure compliance with global regulatory frameworks.

Required Technical Skills & Qualifications

Core Software Engineering & Architecture
Experience: 10 – 15 years of full-stack software engineering experience in an enterprise or production workplace.
Design Patterns: Deep understanding of object-oriented and functional design patterns, with a proven ability to write clean, modular, and testable code.
Polyglot Programming: Proficiency in a diverse set of programming languages:
Python (for data science, modeling, and scripting)
Java (for enterprise

📌 Senior Data Scientist Bengaluru (India)
🏢 Trigent Software
📍 India