About Biocliq AI:
Biocliq AI is a deep-tech healthcare company specializing in advanced medical image analytics. Headquartered in Bangalore, India. We build clinically relevant AI solutions that make a real impact in healthcare.
As we scale our medical imaging products, & we are looking for a
Deep Learning Engineer
with strong hands-on experience in
computer vision and image segmentation
, preferably in healthcare domains.
Role & Responsibilities:
- Design, train, and optimize
deep learning models for medical image segmentation
- Work with CNN-based architectures such as
U-Net, variants of U-Net, and related models
- Handle medical imaging data (X-ray, CT, MRI, ultrasound, etc.) including preprocessing and augmentation
- Collaborate with clinical, product, and engineering teams to translate real-world healthcare problems into AI solutions
- Participate in model evaluation, validation, and deployment pipelines
- Continuously improve model performance, robustness, and efficiency
Required Skills:
- Strong proficiency in
Python
- Hands-on experience with
PyTorch or TensorFlow
- Practical experience in
computer vision
, especially
image segmentation
- Solid understanding of
CNN architectures
and deep learning fundamentals
Good to Have:
- Experience with
medical datasets
(DICOM, NIfTI, etc.)
- Exposure to
cloud platforms
(AWS, GCP, Azure) for ML workloads
- Basic knowledge of
Docker
and ML deployment practices
- Participation in research projects, capstone work, or published papers in medical imaging
Experience:
- 1–2 years of hands-on experience
in deep learning / computer vision
- Strong
segmentation project experience
(industry, research, or academic projects)
- Candidates with exceptional healthcare-focused projects may be considered even with slightly less experience
What We Look For
- Strong learning mindset and curiosity
- Ability to work independently and take ownership of models
- High standards of ethics, transparency, and responsibility; critical in healthcare AI
