AI Application Engineer
23 hours ago
AI Application Engineer
Shrimad Rajchandra Hospital & Research Centre
Location: Dharampur, Valsad, Gujarat / Remote-Hybrid
Type: Full-time | On-site preference for medical collaboration
Experience: 3–6 years (flexible for exceptional candidates)
About Us
Shrimad Rajchandra Hospital & Research Centre is a leading charitable multispecialty institution dedicated to compassionate, world-class healthcare. We are expanding our research and innovation capabilities to deliver impactful AI/ML solutions in radiology, diagnostics, patient analytics, and evidence-based research.
Role Overview
Seeking an AI Application Engineer to independently design, prototype, evaluate, and deploy AI solutions tailored to healthcare needs. Collaborate with radiologists, clinicians, and leadership to transform medical requirements into practical applications like report analysis, clinical NLP, diagnostic dashboards, open-source model evaluation, and workflow automation.
Key Responsibilities
Build AI-powered applications and internal tools for clinical and operational workflows.
Develop NLP and vision models for radiology/pathology report understanding, medical document summarization, structured extraction, and CT/MRI/X-ray inference using open-source models.
Create risk prediction, anomaly detection, and patient analytics dashboards.
Evaluate, fine-tune, and benchmark models like LLaMA, BioGPT, MedSAM, MONAI, and VLMs.
Design scalable inference pipelines and integrate with hospital systems (HIS/RIS/PACS).
Produce research-grade evaluations, performance reports, and compliance documentation.
Collaborate with medical experts to iterate based on clinical feedback.
Monitor emerging healthcare AI research, regulatory standards, and safety protocols.
Required Skills
Strong Python proficiency with PyTorch/TensorFlow and FastAPI/Flask.
Hands-on experience with LLMs, VLMs, medical NLP, embeddings, and RAG pipelines.
Familiarity with medical imaging tools (MONAI, TorchIO, SimpleITK, DICOM).
Expertise in open-source model inference, evaluation metrics (BLEU, ROUGE, Dice, IoU, precision/recall).
Containerization and deployment knowledge (Docker; Kubernetes preferred).
Dashboard development using Streamlit, Gradio, or React.
Problem-solving mindset and adaptability to clinical environments.
Preferred Skills
Experience with PACS/RIS/HIS integrations.
NVIDIA Jetson, CUDA, or GPU acceleration.
Work with medical datasets (MIMIC-IV, NIH ChestXray, BraTS).
Knowledge of HIPAA, data privacy, and healthcare compliance.
Medical domain experience preferred.
Publications, hackathon participation, or healthcare AI research
What We Offer
Direct impact on patient care through life-saving AI innovations.
Collaboration with doctors, surgeons, and researchers.
Access to anonymized datasets, compute resources, and medical mentorship.
Support for experimentation, innovation, and research publication.
Competitive salary based on experience + accommodation for onsite roles
Job Type: Full-time
Pay: ₹100, ₹1,500,000.00 per month
Benefits:
- Work from home
Work Location: Remote
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