Company Description Dozee is a leading AI-powered, contactless Remote Patient Monitoring (RPM) and Early Warning System that continuously tracks patient health and flags early signs of clinical deterioration for timely intervention. As pioneers of the world’s first non-contact blood pressure monitoring system, Dozee is transforming patient care across more than 300 healthcare facilities in India, the USA, UAE, and Africa. The platform has monitored over 1 million patients, generated over 35,000 life-saving alerts, and saved more than 10 million nursing hours, improving outcomes while reducing costs. Trusted by major healthcare providers, Dozee’s solutions enhance patient safety and operational efficiency at scale. Team members contribute directly to impactful, large-scale healthcare innovation using advanced AI technologies.

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We sit on a goldmine of real-world healthcare data — and we’re looking for someone who can turn it into intelligent, life-saving products.

You’ll build AI systems that work with real patient data at scale: think LLM-powered clinical insights, RAG pipelines, and ML models that actually ship.

What we’re looking for:

🔹 Strong hands-on Python skills

🔹 Experience with LLMs, RAG, and LangChain

🔹 Solid grasp of Transformers, embeddings, and vector databases

🔹 A track record of building and deploying AI/ML pipelines

If you’re excited about applying AI to real healthcare problems — not just prototypes, but products that matter — let’s talk.

📩 DM me, or tag someone who’d be a great fit.

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