AI Engineer

Key Responsibilities :

- Design, develop, and deploy machine learning models for medical image analysis, predictive diagnostics, and personalized treatment plans to improve patient outcomes.

- Collaborate with data scientists to build and maintain robust data pipelines for training and evaluating AI models, ensuring data quality and integrity.

- Optimize model performance and scalability through techniques such as model compression, quantization, and distributed training to meet real-time performance requirements.

- Implement and maintain CI/CD pipelines for automated model deployment and monitoring, ensuring seamless integration with existing healthcare systems.

- Conduct research and stay up-to-date with the latest advancements in AI and machine learning to identify opportunities for innovation and improvement.

- Work closely with medical professionals to understand their needs and translate them into technical requirements, ensuring that AI solutions are aligned with clinical practice.

Required Skillset :

- Demonstrated ability to design, develop, and deploy machine learning models using Python and relevant libraries such as TensorFlow, PyTorch, and scikit-learn.

- Proven expertise in data preprocessing, feature engineering, and model evaluation techniques to ensure optimal model performance.

- Strong understanding of deep learning architectures, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformers.

- Experience with cloud computing platforms such as AWS, Azure, or GCP for deploying and scaling AI models.

- Excellent communication and collaboration skills to effectively work with cross-functional teams and stakeholders.

- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field.

- Ability to adapt to a fast-paced, dynamic environment and learn new technologies quickly.

- Minimum 5-8 years of experience in a similar role.