Responsibilities:
- Provide technical leadership across the full MLOps framework stack (IVR, Chat, Document Validation) by bridging Python, ML, UI, and infrastructure domains.
- Tracking key operational metrics such as containment rate, repeat calls, and API latency trends.
- Conducting conversation audits to identify intent gaps and improvement opportunities.
- Maintaining dashboards, SLA tracking, Root Cause Analysis (RCA), and backlog management.
- Investigation and resolution of critical and complex defects requiring code-level or product-level intervention.
- Ownership of bug fixes, patches, and product enhancements.
- Support for major incidents (P1/P2) including war room participation and resolution strategy.
- Collaboration with OEM/Platform teams for core platform issues (e.g., AI models, ASR/TTS engines, API frameworks).
- Handling advanced configuration changes, model tuning, and performance optimization.
- Providing long-term fixes and preventive solutions to avoid recurrence.
- Supporting release validation, regression testing, and deployments.




- Drive design reviews, code quality standards, and best practices in backend, ML evaluation logic, and frontend development.
- Coordinate with Architect to translate solution design into actionable development tasks, ensuring modular and scalable implementation.
- Oversee integration efforts between test orchestration, LLM evaluations (DeepEval/OpenAI), and dashboard components.
- Guide and mentor developers (Python, UI, ML) to troubleshoot challenges, optimize performance, and adhere to timelines.
- Collaborate with QA, DevOps, and product stakeholders to align technical execution with business/testing goals.
- Ensure effective use of CI/CD pipelines, logging, monitoring, and version control for automation framework releases.

Qualifications:
- Bachelors or Masters degree in Computer Science or Engineering.
- Solid understanding of AI platforms and technologies.
- Good presentation and communication skills.
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📌 Technical Lead (Mumbai)
🏢 Mphasis
📍 Mumbai