Develop and optimize deep learning models for medical image analysis, including segmentation, classification, and object detection.
Preprocess and clean medical imaging datasets to enhance AI model performance and reliability.
Conduct model evaluation, error analysis, and performance benchmarking to improve accuracy and generalization.
Collaborate with radiologists and domain experts to refine AI model outputs and ensure clinical relevance.

Experience

1-3 years Data Science/Machine Learning experience

Required Skills

Strong fundamental knowledge of machine learning, computer vision and image processing
Demonstrable experience training convolutional neural networks for segmentation and object detection
Strong programming skills in Python and familiarity with data science and image processing libraries (e.g., NumPy, pandas, scikit-learn, opencv, PIL).
Hands-on experience with deep learning frameworks like Keras or PyTorch.
Experience with model evaluation and error analysis.

Desired Skills

Familiarity with healthcare or radiology datasets.
Familiarity with ONNX format

Qualification

Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, Statistics, or a related field.

Company Location

Baner, Pune

More Jobs at DeepTek

Customer Success Engineer/Technical Support Specialist

Pune, Maharashtra, India

1 - 2 yrs

Salary: Not disclosed

Software Development Engineer

Pune, Maharashtra, India

Experience: Not specified

Salary: Not disclosed

Senior Quality Control Technologist - Teleradiology

Pune, Maharashtra, India

10.0 - 12.0 yrs

Salary: Not disclosed

DeepTek.ai - DevOps Engineer - Ansible/Terraform

Pune, Maharashtra, India

1.0 - 3.0 yrs

Salary: Not disclosed

DeepTek.ai - Software Development Engineer - Full Stack Technologies

Pune, Maharashtra, India

1.0 - 3.0 yrs

Salary: Not disclosed

Mock Interview

Practice Video Interview with JobPe AI

Start Python Interview

Start Your Job Search Today

Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.