Role Overview
We're Hiring: AI Engineer to Build Clinical AI for the Future of Healthcare. Work on a real Hospital Management System where your models help doctors make faster, sharper decisions for real patients.
About Ai nexus innovations hub
AI Nexus Innovations Hub is a Bengaluru-based deep-tech startup building AI-native platforms, including Medorbit.ai, an AI-powered Hospital Management System (HMS) designed for Indian hospitals and clinics.
Key Responsibilities
- Build a pipeline that reads a patient's last lab reports and extracts test values, reference ranges, and trends
- Generate a concise, doctor-ready summary so the doctor doesn't have to review every past report during consultation
- Build predictive summaries: highlight trends, deteriorating markers, cross-parameter correlations, and early-risk indicators
- Train and fine-tune deep learning models on chest and other X-ray datasets to detect abnormalities and predict likely conditions
- Integrate the imaging model into the HMS so results appear directly inside the doctor's consultation view
Requirements & Eligibility
- B.Tech / B.E. / M.Tech / M.S. in Computer Science, AI/ML, Data Science, Biomedical Engineering, or related field
- Strong fundamentals in Python and at least one ML framework (PyTorch, TensorFlow, or scikit-learn)
- Understanding of ML concepts: supervised/unsupervised learning, neural networks (CNNs), NLP basics
- Familiarity with Generative AI, LLMs, or prompt engineering
- Interest in healthcare AI and building tools that doctors actually use
- Solid problem-solving skills and a builder's mindset
Required Skills & Tech
PythonPyTorchTensorFlowscikit-learn