Cybersecurity Machine Learning Architect
1 day ago
About AiStrike
We are seeking a highly skilled and motivated Machine Learning Engineer to play a critical part in building and deploying machine learning models to enhance our prioritization and recommendation systems. With a strong background in machine learning, data science, and a passion for solving problems related to prioritization, classification, and clustering in the evolving field of cybersecurity.
The ideal candidate will have a solid understanding of statistical methods and machine learning algorithms, with proven experience as a Machine Learning Engineer with a focus on ranking, prioritization, classification, and clustering tasks. Strong experience in working with labeled data to build machine-learning models, proficiency in using machine learning libraries such as scikit-learn, TensorFlow, or PyTorch, and experience with data preprocessing, feature engineering, and data visualization.
As a Machine Learning Engineer at AiStrike, you will be responsible for designing, implementing, and optimizing machine learning models to solve prioritization and classification problems effectively. You will work closely with cross-functional teams to understand their requirements and provide effective solutions. The ideal candidate will have a deep understanding of machine learning algorithms and model evaluation techniques, knowledge of deep learning techniques and neural networks is a plus.
AiStrike is committed to providing equal employment opportunities. All qualified applicants and employees will be considered for employment and advancement without regard to race, color, religion, creed, national origin, ancestry, sex, gender, gender identity, gender expression, physical or mental disability, age, genetic information, sexual or affectional orientation, marital status, status regarding public assistance, familial status, military or veteran status or any other status protected by applicable law.
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