Director - Artificial Intelligence - AI Healthcare Startup

8 hours ago

Gurugram, India Cinnara Full time

Role: Director - Artificial Intelligence

Type: Full-time, Work from Office

Location: Gurgaon

Note: The role involves a moderate salary and significant Equity

About Tap Health:

- Tap Health is a deep-tech platform that is transforming chronic care management with AI and changing how you access health information. Powered by our proprietary Medical AI model, VaiD, Tap Health is designed to make healthcare accessible to millions.

- We are developing next-generation Digital Therapeutic products that redefine chronic illness management through AI-driven, hyper-personalized care. Our platform helps users manage conditions such as diabetes, hypertension, PCOS, pregnancy and asthma by delivering daily structured digital therapeutics, lifestyle interventions, personalized nutrition and exercise guidance and real-time monitoring, all without requiring human intervention.

- Leveraging AI and adaptive algorithms, Tap Health dynamically personalizes each user's care journey, delivering enhanced insights, interventions, motivation, adherence and clinical outcomes at a fraction of traditional healthcare costs.

- Beyond Digital Therapeutics, the Tap Health platform also provides free primary illness diagnosis based on symptoms and instant health advice through a seamless, voice-first experience.

About the Role: Director - Artificial Intelligence

As the Director of AI, you will play a pivotal role in shaping and executing Tap Health's AI strategy. You will lead the development and implementation of advanced AI models that drive our hyper-personalized chronic care programs, predictive motivation systems, symptom analysis, and real-time program adjustments. This is an opportunity to spearhead innovation at the intersection of AI, healthcare, and impact at scale.

Key Responsibilities of Director - Artificial Intelligence

AI Strategy & Leadership:

- Develop and execute the overall AI roadmap in alignment with Tap Health's mission to transform chronic care.

- Explore and implement state-of-the-art AI technologies such as deep learning, natural language processing (NLP), and reinforcement learning to enhance the platform's capabilities.

- Drive innovation in key areas, including:

- Hyper-Personalized Care: Create models that adapt to user behavior, health data, and contextual insights in real-time.

- Predictive Analytics: Develop systems that forecast health outcomes, enabling proactive interventions.

AI Development & Integration:

- Oversee the end-to-end development and deployment of AI models for:

- Personalized health recommendations and interventions.

- Adaptive algorithms for motivation and adherence tracking.

- Gamification and rewards systems powered by behavioral analytics.

- Wearable device integration and real-time data processing.

- Build scalable and efficient AI pipelines, ensuring seamless integration with the platform's architecture.

Data Science & Infrastructure:

- Leverage big data to train AI models and derive actionable insights for improving chronic care outcomes.

- Implement advanced data acquisition, cleaning, and preprocessing techniques to maintain high-quality datasets.

- Develop infrastructure for scalable AI operations, ensuring reliability and performance.

Team Leadership & Collaboration

- Lead and mentor a team of AI engineers and data scientists, fostering a culture of innovation and collaboration.

- Work closely with cross-functional teams, including product, engineering, and medical, to align AI capabilities with business objectives.

- Ensure ethical AI practices, compliance with healthcare regulations, and a user-first approach in all implementations.

Key Qualifications:

- Bachelors /Master's/Ph.D. in Computer Science, AI, Data Science, or related fields.

- Proven track record (5+ years) in developing and leading AI/ML projects. Focus on healthcare or digital therapeutics is preferred.

- Expertise in machine learning, deep learning, NLP, and predictive analytics.

- Strong knowledge of healthcare data, wearable integration, and AI-driven diagnostics.

- Experience building scalable AI systems and delivering impactful solutions at scale.

- Exceptional leadership and communication skills, with the ability to inspire and guide teams toward ambitious goals.

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