Python AI Engineer

Role Overview

We’re looking for an AI Engineer with strong Python expertise to help design and deliver intelligent, scalable AI solutions across our healthcare systems. You'll work with cross-functional teams to develop ML models, implement data pipelines, and contribute to the deployment and monitoring of AI-powered features.

Key Responsibilities

• Develop machine learning and deep learning models in Python using frameworks like TensorFlow or PyTorch.
• Write modular, testable, and production-ready Python code for data preprocessing, feature engineering, and model training.
• Build and maintain scalable Python-based data pipelines using tools like Airflow and Pandas.
• Deploy AI models in production using Python microservices and container technologies (e.g., Docker, FastAPI, Flask).
• Collaborate with MLOps engineers to automate CI/CD pipelines for model training, testing, and deployment.
• Implement monitoring, logging, and model performance tracking using Python tools and libraries.
• Collaborate with data scientists to interpret data and ensure clinical relevance of AI solutions.
• Adhere to software development best practices, version control (e.g., Git), and regulatory and quality standards.

Required Qualifications

• MSc or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
• 3+ years of professional experience in AI/ML development using Python.
• Strong knowledge of the Python ecosystem for machine learning (e.g., TensorFlow, PyTorch, Pandas, NumPy, FastAPI).
• Experience deploying Python-based ML models in production environments (on cloud platforms like Azure or AWS).
• Familiar with MLOps concepts, data versioning (DVC), and model lifecycle management using tools like MLflow or Weights & Biases.
• Understanding of software testing in Python (e.g., pytest) and experience with performance optimization.