Checkbox Technology - Artificial Intelligence Engineer - Deep Learning/Image Processing

Salary : Description :

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.

Must Haves

Who are we looking for :
 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.
 Ability to quickly read, understand, and implement academic publications.
 Strong documentation skills, proficient analysis of project results and deriving insights.
 Ability to communicate ideas effectively, both written and verbally, in English.

Good To Have
 Understanding of statistical approaches for analysis of AI model performance.
 Real-time model development and deployment frameworks.
 A basic understanding of git and git workflow is a plus.
 A basic understanding of software architecture and design, especially object-oriented design is a plus.
 A basic understanding of databases is a plus.
 Prior startup (healthcare and AI) experience.

(ref:hirist.tech),