Responsibilities:

Design, develop, and deploy AI/ML models using Python and ML frameworks such as Scikit-learn, TensorFlow, PyTorch, or similar. Write efficient, reusable, and testable Python code for backend services, model pipelines, and data processing tasks. Work on data acquisition, cleaning, transformation, and feature engineering. Implement and maintain ML models in production environments using tools such as Docker, Kubernetes, and REST APIs. Collaborate with data scientists to productionize models and optimize performance. Conduct code reviews, write unit tests, and ensure code quality. Work with cloud services (AWS, Azure, or GCP) for model training, deployment, and monitoring. Analyze and interpret large datasets to derive actionable insights and build intelligent solutions. Document processes, model architecture, and maintain reproducibility of experiments.

Required Skills and Qualifications:

Bachelor’s or Master’s degree in...