Experience: 5.00 + years
Salary: Confidential (based on experience)
Expected Notice Period: 30 Days
Shift: (GMT+05:30) Asia/Kolkata (IST)
Opportunity Type: Office ()
Placement Type: Full Time Permanent position(Payroll and Compliance to be managed by: An early-stage healthcare startup)
(*Note: This is a requirement for one of Uplers client - An early-stage healthcare startup)
What do you need for this opportunity
Must have skills required:
Python, C++, PyTorch, Computer Vision, Cnn, Detection, CUDA, TensorRT, NVIDIA, Holoscan, Medical Imaging, DICOM, Radiology, Healthcare, PACS, MONAI, ISO 13485, Deepstream, HL7, MRI, Machine learning workflows, AI/ML, Deep Learning, Vision Transformers, anomaly detection, Segmentation, CDSCO , SaMD , Jetson , Triton Inference Server , Medical Open Network for AI, Ultrasound , real-time clinical decision , diagnostic hardware
An early-stage healthcare startup is Looking for:
Industry: HealthTech | Artificial Intelligence (AI) | Medical Devices | Diagnostic Imaging | Software as a Medical Device (SaMD)
Location: Greater Noida / Remote (India)
5 Days work from home
Department: AI/ML Engineering – Diagnostics
Principal AI/ML Engineer:
About KM:
The Principal AI/ML Engineer at KM is a founding AI leadership role, responsible for building and owning the company's end-to-end AI stack for medical imaging. This is not a traditional ML research position—it combines AI architecture, edge deployment, MLOps, regulatory engineering, and technical leadership.
The role focuses on developing AI-powered clinical decision support systems that assist doctors during diagnosis. Rather than replacing clinicians, the AI provides real-time anomaly detection, segmentation, and recommendations while the doctor makes the final clinical decision, aligning with the company's Human-in-the-Loop approach.
KM is building a highly scalable, tech-enabled diagnostic network designed to democratize access to automated medical diagnostics. We are retrofitting legacy diagnostic hardware with state-of-the-art Edge AI to provide real-time clinical decision support. Our mission is to bridge the gap in Tier-2 and Tier-3 healthcare by deploying affordable, multi-modality AI assistants (Ultrasound, Endoscopy, CT, MRI, and X-ray) that empower local doctors and sonographers.
The Role
We are seeking a Principal AI/ML Engineer to lead the architecture, training, and edge deployment of our proprietary diagnostic AI models. You will not be building an autonomous AI doctor — you will be building a high-performance Class B Software as a Medical Device (SaMD) designed to act as a human-in-the-loop clinical assistant. You will leverage the full NVIDIA healthcare stack to process both live sensor streams (USG, Endoscopy) and volumetric data (CT, MRI).
Key Responsibilities
Multimodal AI Development: Design, train, and optimize Deep Learning architectures (CNNs, Vision Transformers) for anomaly detection, bounding-box generation, and real-time segmentation across live 60fps video and 3D volumetric datasets.
Edge Streaming Pipelines: Architect ultra-low latency inference pipelines for live Ultrasound and Endoscopy using the NVIDIA Holoscan framework and zero-copy GPU memory management.
Model Optimization: Convert and compress trained PyTorch/MONAI models using NVIDIA TensorRT and deploy them locally via Triton Inference Server on Jetson or DGX edge hardware.
Clinical Data Orchestration: Build secure, DPDPA-compliant pipelines to ingest, anonymize, and process DICOM and PACS data from our clinical partners for model training.
Regulatory Engineering: Work directly with our compliance team to ensure all model training, validation, and version control strictly adhere to ISO 13485 standards required for CDSCO Class B SaMD clearance.
Requirements :
5+ years of AI/ML experience with strong Computer Vision expertise.
Advanced proficiency in Python, with hands-on C/C++ and CUDA.
Strong experience with PyTorch, MONAI, CNNs, and Vision Transformers.
Hands-on experience with the NVIDIA AI stack (Holoscan, TensorRT, Triton, DeepStream, Jetson/DGX).
Experience building and deploying Edge AI solutions for real-time inference.
Knowledge of medical imaging standards (DICOM, HL7, PACS) and radiology workflows.
Experience optimizing AI models for production deployment.
Understanding of ISO 13485, Class B SaMD, and regulated AI development is highly preferred.
Strong system architecture, technical leadership, and stakeholder collaboration skills.
Prior Experience In Healthcare AI/Medical Imaging Is Strongly Preferred.
Required Technical Stack & Expertise
Languages: Python (Advanced), C/C++ (Proficient for edge optimization), CUDA.
AI/ML Frameworks: PyTorch, MONAI (Medical Open Network for AI).
NVIDIA Stack: NVIDIA Holoscan, Clara, TensorRT, DeepStream.
Domain Knowledge: Deep understanding of Medical Imaging Standards (DICOM, HL7, PACS workflow) and the physics/artifacts of Ultrasound and MRI.
Mindset: You understand that in medical AI, a model that works in a Jupyter notebook is useless until it runs flawlessly in a chaotic, real-world clinical setting.
What Makes This Role Unique
Founding AI leadership position with ownership of the complete AI roadmap.
Opportunity to build production-grade AI that is deployed in hospitals and used by clinicians.
Direct collaboration with the founder and experienced healthcare technology leaders.
Exposure to cutting-edge Edge AI, Medical Computer Vision, and NVIDIA healthcare technologies.
Chance to build AI systems that improve diagnostic access and healthcare delivery across Tier-2 and Tier-3 India.
How to apply for this opportunity
- Step 1: Click On Apply! And Register or Login on our portal.
- Step 2: Complete the Screening Form & Upload updated Resume
- Step 3: Increase your chances to get shortlisted & meet the client for the Interview!
About Uplers:
Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement.
(Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).
So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! 
