Description

You will lead end-to-end architecture and technical delivery for AI/ML platforms, LLM optimization, and STT/TTS services. This role focuses on production-grade deployment, scalability, and operational reliability.

This role is on-site.

Responsibilities

• Design and implement scalable, high-performance AI solutions with a focus on production-grade deployment and reliability.
• Drive model efficiency improvements using quantization, pruning, distillation, caching, batching, and LoRA fine-tuning.
• Define and enforce engineering and MLOps standards for deployment, governance, observability, CI/CD, and model lifecycle management.
• Build and maintain robust ML automation pipelines including feature stores, retraining workflows, and GPU job scheduling.
• Mentor engineering teams, conduct technical reviews, and lead implementation of Agentic AI and LLM-based workflows.

Required Skills

• 6+ years of experience in AI/ML Engineering, Backend Engineering, or related technical domains.
• Minimum 2+ years of experience in Technical Leadership roles.
• Strong experience in LLM engineering, optimization techniques, and model evaluation.
• Hands-on expertise with Speech-to-Text (STT), Text-to-Speech (TTS), and speech recognition systems.
• Strong knowledge of MLOps automation, CI/CD pipelines, and production model lifecycle management.
• Experience with Agentic AI workflows and scalable AI service deployments.

Preferred Skills

• AWS experience for AI deployment and scaling.
• Strong system design, architecture, and people management experience.

Key Skills

Education

Any Graduate