Responsibilities • Design, develop, and train machine learning models, including supervised, unsupervised, and reinforcement learning algorithms, to solve complex business problems. • Gather, clean, and preprocess large datasets, ensuring data quality and transforming raw data into formats suitable for machine learning models. • Analyze the problem domain and select appropriate machine learning algorithms and techniques based on project needs and available data. • Evaluate model performance using appropriate metrics (e.g., accuracy, precision, recall, AUC) and fine-tune hyperparameters to optimize performance. • Deploy machine learning models into production environments, ensuring that models are scalable, efficient, and integrated with existing systems. • Work closely with cross-functional teams, including data scientists, software engineers, and product managers, to understand business requirements and deliver machine learning-based solutions. • Automate repetitive tasks such as data extraction, feature engineering, and model evaluation, and optimize the performance of models in production. • Stay up-to-date with the latest advancements in machine learning, AI technologies, and industry trends, and incorporate new techniques into existing workflows to improve outcomes. • Maintain clear documentation on models, experiments, and processes, ensuring that solutions are reproducible and understandable to stakeholders. • Monitor the performance of deployed models, and update them periodically to reflect changes in data patterns and business requirements. Apply for this position Full Name * Email * Phone * Upload CV/Resume * Allowed Type(s): .pdf, .doc, .docx

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