AI/ML Architect

You will be responsible for designing and developing an ensemble of classical and deep learning algorithms for modeling complex interactions between people, software, infrastructure, and policies in an enterprise environment. Additionally, you will design and implement algorithms for statistical modeling of enterprise cybersecurity risk, apply data-mining, AI, and graph analysis techniques, and build production quality solutions that balance complexity and performance. Your role will also involve participating in the engineering life-cycle at Balbix, driving the architecture, and the usage of open source software library for numerical computation such as TensorFlow, PyTorch, and ScikitLearn. As a qualified candidate, you are expected to have a Ph.D. in Computer Science and Engineering or a related field, along with 3+ years of experience in the field of Machine Learning, programming in Python, and building scalable distributed systems. You should possess foundational knowledge of probability, statistics, and linear algebra, as well as expertise in state-of-the-art AI algorithms such as deep-learning, NLP, probabilistic graphical models, graphical algorithms, reinforcement learning, and time-series analysis. Knowledge of statistical analysis and modeling techniques, and model explainability is also required. At Balbix, the company has built a culture that aligns with values such as ownership, customer focus, curiosity, tenacity, innovation, judgment, teamwork, communication, honesty, and impact. By joining the team, you will work with motivated and knowledgeable individuals, build pioneering products, and utilize cutting-edge technology. The company offers rapid career growth opportunities stemming from its culture of alignment, bottom-up innovation, clarity of goals, and unrelenting mission. Developing the world's most advanced platform to address the most important technology problem facing mankind today is exceptionally rewarding. For more information and to explore career opportunities at Balbix, visit https://www.balbix.com/company/careers/ You will be responsible for designing and developing an ensemble of classical and deep learning algorithms for modeling complex interactions between people, software, infrastructure, and policies in an enterprise environment. Additionally, you will design and implement algorithms for statistical modeling of enterprise cybersecurity risk, apply data-mining, AI, and graph analysis techniques, and build production quality solutions that balance complexity and performance. Your role will also involve participating in the engineering life-cycle at Balbix, driving the architecture, and the usage of open source software library for numerical computation such as TensorFlow, PyTorch, and ScikitLearn. As a qualified candidate, you are expected to have a Ph.D. in Computer Science and Engineering or a related field, along with 3+ years of experience in the field of Machine Learning, programming in Python, and building scalable distributed systems. You should possess foundational knowledge of probability, statistics, and linear algebra, as well as expertise in state-of-the-art AI algorithms such as deep-learning, NLP, probabilistic graphical models, graphical algorithms, reinforcement learning, and time-series analysis. Knowledge of statistical analysis and modeling techniques, and model explainability is also required. At Balbix, the company has built a culture that aligns with values such as ownership, customer focus, curiosity, tenacity, innovation, judgment, teamwork, communication, honesty, and impact. By joining the team, you will work with motivated and knowledgeable individuals, build pioneering products, and utilize cutting-edge technology. The company offers rapid career growth opportunities stemming from its culture of alignment, bottom-up innovation, clarity of goals, and unrelenting mission. Developing the world's most advanced platform to address the most important technology problem facing mankind today is exceptionally rewarding. For more information and to explore career opportunities at Balbix, visit https://www.balbix.com/company/careers/