AI/ML Engineer – Developing AI Models

Imagine building AI systems that could transform healthcare outcomes. As an AI/ML Engineer at an innovative healthcare tech company, you will be developing and deploying machine learning models that analyze patient data, predict outcomes, and enable intelligent decision-making.

You will work on a wide range of AI challenges, from natural language processing on medical records to computer vision for diagnostic imaging. You will also collaborate with clinicians and engineers to integrate these solutions into scalable applications.

What you’ll do:

• Develop, train, and optimize machine learning models for predictive analytics
• Work with large, complex datasets, performing preprocessing, cleaning, and feature engineering
• Implement and deploy ML pipelines in cloud environments
• Evaluate model performance and iterate for improvement
• Collaborate with software engineers to integrate ML solutions into production systems

Must-have skills:

• Proficiency in Python and experience with ML frameworks like TensorFlow or PyTorch
• Experience with NLP, computer vision, or deep learning models
• Strong data processing and feature engineering expertise
• Knowledge of cloud computing and deployment of ML models
• Analytical mindset with the ability to translate research into real-world solutions