Heaps is one of the fastest growing health tech start-ups in India today. With more than 5 million patient interactions till date, Heaps is revolutionising how insurers, doctors and patients experience health care. We are building an AI driven end-to-end care management platform which coordinates, tracks and monitors the health of the patient empowering them with the right information to take right decisions at the right time about their health. Heaps is backed by marquee investors - titans in the healthcare industry who have invested more than $7.4 million in Series A funding. Heaps is on a path for global scaling, we’ve already expanded in 5 countries across the globe. Are you a data scientist with a knack for problem solving and crisp communication? Data science team at Heaps is chartered to drive analytics/machine learning programs across the organisation. Heaps is looking for experienced Data Scientists who will be at the forefront of developing products/solutions for insurance/hospital clients across the globe. You will be responsible to drive use cases and analytics assignments to help the clients uncover actionable insights from the data which will lead to improved care for the patients. Responsibilities Understand business problems and work on the statistical and analytical approach required for the solution Work on various steps of a data science project - Data mining and Exploratory Data Analysis (EDA), Feature Engineering, Statistical modelling, integration with AI/ML platform, visualisation and result inferencing and presentation to stakeholders Leverage machine learning techniques such as regression, classification, clustering, bayesian algorithms, matrix factorization, graphical models, to contribute to the execution of our vision for ML-based technology solutions Leverage advanced NLP algorithms/architectures to build custom models for entity extraction and concept recognition, relation extraction, summarization, textual classification and clustering, etc. Collaborate with business stakeholders to effectively integrate and communicate analysis findings Qualifications 2-3 years of prior data science experience Data science programming languages and querying databases: Python, SQL/HIVE Deep understanding of various statistical/ML techniques Expertise in the use of cloud based infrastructure to manage the volume and veracity of complex data streams Basic knowledge of API frameworks like Flask/Fastapi, version control systems like Git and cloud platform like AWS/GCP Show more Show less
Responsibilities: Ensure compassionate care through empathetic communication. Collaborate with healthcare team on treatment plans. Manage patient records using EHR software.
Company Description Heaps is one of the fastest growing health tech start-ups in India today. With more than 5 million patient interactions till date, Heaps is revolutionising how insurers, doctors and patients experience health care. We are building an AI driven end-to-end care management platform which coordinates, tracks and monitors the health of the patient empowering them with the right information to take right decisions at the right time about their health. Heaps is backed by marquee investors - titans in the healthcare industry who have invested more than $7.4 million in Series A funding. Heaps is on a path for global scaling, weve already expanded in 5 countries across the globe. Role Description Are you an AI engineer with a strong technical background and a passion for solving complex real-world problems At HEAPS, our AI team drives innovation by developing and integrating advanced machine learning and Large Language Models (LLMs) into healthcare products. We are seeking skilled AI Engineers to lead end-to-end AI initiativesdesigning, fine-tuning, and deploying models that extract actionable insights from healthcare data. Your work will directly support insurance and hospital clients worldwide in improving patient care and operational outcomes through scalable AI solutions. Responsibilities Design, develop, and integrate Large Language Models (LLMs) into our healthcare product suite Build and optimize AI/ML pipelines for healthcare applications Lead use case development and machine learning initiatives that extract actionable insights from complex healthcare data Collaborate with cross-functional teams to implement AI-driven features that enhance patient care Translate complex data and model outputs into clear, impactful recommendations for stakeholders Fine-tune and deploy models for healthcare-specific use cases Ensure AI solutions meet healthcare compliance and security standards Research and apply state-of-the-art AI techniques to solve challenging healthcare problems Skills: 2-3 years of hands-on experience in AI/ML engineering Strong proficiency in Python, TensorFlow/PyTorch, and ML frameworks Experience with LLMs (GPT, BERT, LLaMA, etc.) and NLP techniques Proven ability to solve complex problems with AI and communicate results crisply. Knowledge of cloud platforms (AWS/Azure/GCP) and MLOps Show more Show less