Cybersecurity Machine Learning Expert

3 weeks ago


Reston, Virginia, United States Shuvel Digital Full time
About the Role

We are seeking a highly skilled Cybersecurity Machine Learning Expert to join our team at Shuvel Digital. As a key member of our cybersecurity division, you will play a critical role in developing and implementing machine learning models to detect and prevent cyber threats.

The ideal candidate will have a strong background in machine learning, data science, and cybersecurity, with experience working with large datasets and complex algorithms. You will be responsible for researching, designing, and deploying machine learning models to identify patterns and anomalies in network traffic data.

Your expertise in machine learning and data analysis will enable us to stay ahead of emerging threats and provide unparalleled security to our clients. If you are passionate about staying up-to-date with the latest advancements in machine learning and cybersecurity, we want to hear from you

About the Job

This is a full-time position that requires a strong understanding of machine learning concepts, including supervised and unsupervised learning, deep learning, and reinforcement learning. You will work closely with our data scientists and engineers to design, develop, and deploy machine learning models that can accurately identify and classify network traffic patterns.

In addition to your technical expertise, you will need to have excellent communication skills, with the ability to effectively collaborate with cross-functional teams and stakeholders. Your strong analytical and problem-solving skills will enable you to navigate complex problems and deliver high-quality results under tight deadlines.

Requirements
  • Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field
  • Minimum 7 years of experience in machine learning, data science, or a related field
  • Strong programming skills in languages such as Python, Java, or C++
  • Experience working with popular machine learning libraries and frameworks, including TensorFlow, PyTorch, and Scikit-learn
  • Excellent problem-solving and analytical skills, with a keen attention to detail
  • Strong communication and collaboration skills, with the ability to work effectively in a team environment


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