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Home
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VAYUZ Technologies
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Data Scientist

Data Scientist

VAYUZ Technologies

5 years

0 Lacs

Bengaluru Karnataka India

Posted:1 week ago| Platform:

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Skills Required

data healthcare ai diagnostics cutting ml algorithms imaging development learning preprocessing training evaluation vision research prototype segmentation autoencoders software model interpretability monitoring engineering mathematics tuning metrics compliance mdr communication leadership dicom deployment optimization

Work Mode

On-site

Job Type

Full Time

Job Description

Data Scientist

image analysis

Project Roles and Responsibilities

Key Responsibilities:

Lead end-to-end development of deep learning models for medical imaging—from data curation and preprocessing to training, evaluation, and deployment.
Explore and fine-tune
foundation models
(e.g., Vision Transformers, CLIP, BioGPT, MedSAM) for diagnostic and clinical imaging use cases.
Research and prototype novel architectures for segmentation, detection, and generation (e.g., UNet variants, GANs, Autoencoders, Diffusion Models).
Collaborate with cross-functional teams including radiologists, product managers, software engineers, and regulatory experts to ensure clinical accuracy, robustness, and compliance.
Develop scalable ML pipelines, model interpretability tools, and performance monitoring systems.
Publish research in peer-reviewed journals or conferences and represent the company at relevant scientific/industry forums.
Mentor junior data scientists and promote best practices in model development, validation, and documentation.

Required Qualifications:

PhD or Master’s degree in Computer Science, Biomedical Engineering, Applied Mathematics, or related field.
5+ years of experience in data science or machine learning, with 3+ years in
medical imaging
.
Strong hands-on experience with
TensorFlow
,
PyTorch
, and deep learning architectures for computer vision.
Practical knowledge of
foundation models
, including prompt engineering, fine-tuning, and domain adaptation.
Experience working with 2D/3D imaging datasets (
DICOM
,
NIfTI
) and medical imaging toolkits (e.g.,
MONAI
,
SimpleITK
,
ITK-SNAP
).
Solid understanding of evaluation metrics like Dice, IoU, AUC, and experience handling imbalanced datasets.
Familiarity with healthcare data compliance (HIPAA, FDA, MDR) and AI/ML lifecycle for medical devices.
Excellent communication, leadership, and analytical problem-solving skills.

Preferred Qualifications:

Research publications or patents in healthcare AI or medical imaging.
Experience with
PACS/RIS systems
,
HL7/DICOM standards
, and clinical workflows.
Familiarity with
LLMs
or
multimodal generative models
in clinical settings.
Exposure to
MLOps
, model deployment, and optimization tools such as
TensorRT
,
ONNX
,
OpenVINO
.

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