Machine Learning Engineer

VortalSoft

New York, New York, United States

New York, New York, United States

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À propos

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.
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New York, New York, United States

Compétences linguistiques

English

Avis aux utilisateurs

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