Sr. Machine Learning Engineer - WFHMD - 1530

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Requirements:

• Experience working with machine learning, data science, or related fields.
• Experience working with cyber-security data.
• Expertise in statistical analysis and visualization of complex data.
• Knowledge of data hygiene methods and ETL.
• Solid understanding of machine learning algorithms and techniques, including supervised and unsupervised learning.
• Hands-on experience with ML libraries such as TensorFlow, PyTorch, Scikit-learn, and tools like Python and SQL.
• Excellent problem-solving skills and attention to detail.

Responsibilities:

• Responsible for researching, developing, architecting, and integrating ML models and algorithms.
• Collaborate with teams to identify ML opportunities and design models for classification, regression, clustering, and more.
• Work on data processing, cleansing, and ensure data integrity.
• Implement processing on high-volume data streams and analyze unstructured data for insights.
• Produce interactive reports and visual analytics while collaborating with data scientists and software developers.