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Lead Security Engineer - AI ML
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Full-time
- Apply advanced principles, theories, and concepts in the realm of Artificial Intelligence (AI), Machine Learning (ML), Large Language Models (LLMs), Deep Learning (DL), Generative AI, Transfer Learning, and Reinforcement Learning algorithms to cyber data sets
- Proficient in using algorithms such as Linear Regression, Logistic Regression, Decision Tree, Random Forest, Bagging and Boosting, K-Nearest Neighbor, Support Vector Machine, Single/Multi-Layer Perceptron, Feed Forward, CNN, RNN, LSTM, GRU, BERT, Hugging Face and Spacy Models, Naive Bayes, Markov-Model, Graph Models, and more
- Experience in backend development, including databases (SQL/NoSQL/Graph), programming languages (Python/Java/Node.js), web frameworks, APIs, and microservices and possess front-end development skills, including HTML, CSS, and JavaScript, and familiarity with frameworks such as React or Angular
- Demonstrate a solid understanding of statistical theory, data mining, or machine learning algorithms.
- Expertise in Python, SQL, and Spark for developing large-scale applications using extensive datasets and have experience working with and creating data architectures
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