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.

- Experience: 10 15 years of full-stack software engineering experience in an enterprise or production setting.
Cloud, DevOps & Infrastructure, Data Engineering & Governance, Next-Generation AI & Vibe-Coding Practices

📌 Senior Data Scientist & Machine Learning Engineer (Bengaluru)
🏢 TRIGENT SOFTWARE PRIVATE
📍 Bengaluru