Senior Medical Image Analysis Specialist

We are seeking a highly skilled Medical Image Analysis Specialist. As part of our team, you will have the opportunity to work on cutting-edge projects that involve the development and deployment of deep learning models for medical image analysis. Our mission is to create innovative solutions that improve patient care and outcomes.

Responsibilities:

• Selecting features, building and optimizing classifier engines using deep learning techniques.
• Understanding the problem and applying the suitable image processing techniques.
• Use techniques from artificial intelligence/deep learning to solve supervised and unsupervised learning problems.
• Understanding and designing solutions for complex problems related to medical image analysis by using Deep Learning/Object Detection/Image Segmentation.
• Recommend and implement best practices around the application of statistical modeling.
• Create, train, test, and deploy various neural networks to solve complex problems.
• Develop and implement solutions to fit business problems which may include applying algorithms from a standard statistical tool, deep learning or custom algorithm development.
• Understanding the requirements and designing solutions and architecture in accordance with them.
• Participate in code reviews, sprint planning, and Agile ceremonies to drive high-quality deliverables.
• Design and implement scalable data science architectures for training, inference, and deployment pipelines.
• Ensure code quality, readability, and maintainability by enforcing software engineering best practices within the data science team.
• Optimize models for production, including quantization, pruning, and latency reduction for real-time inference.
• Drive the adoption of versioning strategies for models, datasets, and experiments (e.g., using MLFlow, DVC).
• Contribute to the architectural design of data platforms to support large-scale experimentation and production workloads.

Skills and Qualifications:

• Strong software engineering skills in Python (or other languages used in data science) with emphasis on clean code, modularity, and testability.
• Excellent understanding and hands-on of Deep Learning techniques such as ANN, CNN, RNN, LSTM, Transformers, VAEs etc.
• Must have experience with Tensorflow or PyTorch framework in building, training, testing, and deploying neural networks.
• Experience in solving problems in the domain of Computer Vision.
• Knowledge of data, data augmentation, data curation, and synthetic data generation.
• Ability to understand the complete problem and design the solutions that best fit all the constraints.
• Knowledge of the common data science and deep learning libraries and toolkits such as Keras, Pandas, Scikit-learn, Numpy, Scipy, OpenCV etc.
• Good applied statistical skills, such as distributions, statistical testing, regression, etc.
• Exposure to Agile/Scrum methodologies and collaborative development practices.
• Experience with the development of RESTful APIs.
• The knowledge of libraries like FastAPI and the ability to apply it to deep learning architectures is essential.
• Excellent analytical and problem-solving skills with a good attitude and keen to adapt to evolving technologies.
• Experience with medical image analysis will be an advantage.
• Experience designing and building ML architecture components (e.g., feature stores, model registries, inference servers).
• Solid understanding of software design patterns, microservices, and cloud-native architectures.
• Expertise in model optimization techniques (e.g., ONNX conversion, TensorRT, model distillation)
• Familiarization with Triton.

Requirements:

• BE/B Tech MS/M Tech degree.
• 3-5 years of experience.

What we offer:

We offer a dynamic work environment with opportunities for professional growth and development. Our team is passionate about innovation and customer satisfaction. We strive to be the best in our field and are committed to excellence.