– Develop, implement, and optimize machine learning models to address business challenges and enhance product features.
– Collaborate with data scientists, product teams, engineers, and stakeholders to understand requirements and translate them into ML solutions.
– Conduct data preprocessing, feature engineering, and data augmentation to ensure high-quality input for model training.
– Evaluate and validate models using appropriate metrics and techniques to ensure accuracy and reliability.
– Deploy and monitor machine learning models in production environments, ensuring they perform as expected.
– Continuously research and experiment with new algorithms, tools, and techniques to improve existing systems.
– Document processes, experiments, and results for future reference and knowledge sharing.
