Key Responsibilities
Design, build, and optimize speech-to-text (STT) pipelines for product features.
Fine-tune, evaluate, and deploy open-source LLMs and other ML models.
Design and build recommendation engines for content relevance and engagement.
Work across the full ML lifecycle: data collection, curation, training, evaluation, deployment, and monitoring.
Collaborate with backend engineers to integrate models into production APIs and services.
Evaluate current open-source models, techniques, and tools for STT, recommendations, and LLM fine-tuning.
Optimize models and pipelines for latency, cost, and accuracy.
Build evaluation frameworks and benchmarks to measure model quality and identify regressions.
Work with vector databases, retrieval pipelines, and search infrastructure.
Investigate and resolve production issues related to model performance, latency, and output quality.
Document experiments, model decisions, and architecture choices.

Qualifications




3+ years of hands-on experience building and deploying ML/AI systems in production.
Pharma / Healthcare / Medical project experience preferred
Experience with STT systems, including building, fine-tuning, or integration.
Experience training or fine-tuning open-source models, including LLMs or other architectures.
Experience building recommendation systems or ranking/personalization models.
Solid understanding of the ML lifecycle: data pipelines, training, evaluation, deployment, and monitoring.
Solid experience with Python and standard ML/DL frameworks such as PyTorch and Hugging Face.
Ability to independently investigate unfamiliar technical problems and identify practical solutions.
Strong sense of ownership and ability to take models from idea to production.
Genuine interest in AI research, recent models, and experimentation.

📌 Senior Ai Engineer – Ai/ml, Llm, Stt Japan Based It Product Startup 4 Years – Bangalore – Wfo Maharashtra
🏢 Seventh Contact Hiring Solutions
📍 Maharashtra