Job Title-Senior AI Engineer

Exp 4+ years

Location Bengalore

Work Mode - Office

Key Responsibilities

- Design, build, and optimize speech-to-text (STT) pipelines for physician-facing product features.
- Fine-tune, evaluate, and deploy open-source LLMs and other ML models for production use.
- Design and build recommendation engines to improve physician engagement and content relevance.
- Work across the full ML lifecycle - data collection/curation, training, evaluation, deployment, and monitoring.
- Collaborate closely with backend engineers to integrate models into production APIs and services.
- Continuously evaluate recent open-source models, techniques, and tools relevant to STT, recommendations, and LLM fine-tuning.
- Optimize models and pipelines for latency, cost, and accuracy trade-offs appropriate for a production medical platform.
- Build evaluation frameworks and benchmarks to measure model quality and catch regressions before they reach production.




- Work with vector databases, retrieval pipelines, and search infrastructure where relevant to recommendation and search features.
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Required Skills

- 3+ years of hands-on experience building and deploying ML/AI systems in production.
- Experience with STT (speech-to-text) systems - building, fine-tuning, or integrating them.
- Experience training or fine-tuning open-source models (LLMs or other architectures).
- Experience building recommendation systems or ranking/personalization models.
- Solid understanding of the ML lifecycle: data pipelines, training, evaluation, deployment, monitoring.
- Comfortable working with Python and standard ML/DL frameworks (PyTorch, Hugging Face, etc.).
- Ability to independently investigate unfamiliar technical problems and identify practical solutions.

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