AI Engineer - Deep Learning & Medical Imaging (0-5 yrs)

AI Engineer (Deep Learning & Medical Imaging)

Work Experience : 0-5 years

As AI Engineer, you will be involved in envisioning, designing, developing, and deploying these cutting-edge technologies to solve real-world challenges in medical imaging (e.g., classification/ semantic segmentation/object detection/ landmark detection, image translation, and generation).

Analyze datasets to identify patterns, trends, and insights that can improve the learning, generalizability, and robustness of AI models. Formulate a data preparation and engineering strategy for R&D.

This is a highly collaborative and cross-functional role where you will work with multiple external (Clinicians, health systems) and internal teams.

Who are we looking for :

Must Haves :

- Deep learning and Image processing related projects (projects in medical image processing are a plus).

- Proficiency and working experience in general machine learning and AI (convolutional neural networks, optimization, hyperparameter tuning, model search, model analysis, etc.).

- Proficiency and working experience in machine learning libraries and frameworks (PyTorch (Preferred), TensorFlow, Keras Libraries : OpenCV, Pandas, PIL, Matplotib, etc.).

- Collaborate with cross-functional teams to analyze and extract insights around various use cases for the AI/ML platform.

- Utilize your expertise in cloud technologies for data preprocessing, feature engineering, and model training.

- Design and optimize scalable machine learning pipelines to deploy models in production environments.

- Stay updated on the latest advancements in machine learning, ensuring the integration of cutting-edge techniques into projects.

- Mentor and guide junior team members, fostering a collaborative and knowledge-sharing environment.

- Take ownership of end-to-end machine learning projects, from problem formulation to model deployment.

- Ensure the reproducibility and version control of machine learning experiments.