Qualifications:
- A Ph.D. in Computer Science and Engineering or related field
- 3+ years of experience in the field of Machine Learning, programming in Python, and building scalable distributed systems
- Foundational knowledge of probability, statistics and linear algebra
- 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
Responsibilities:
As an AI/ML architect you will design and develop an ensemble of classical and deep learning algorithms for modeling complex interactions between people, software, infrastructure and policies in an enterprise environment. Design and implement algorithms for statistical modeling of enterprise cybersecurity risk. Apply data-mining, AI and graph analysis techniques to address a variety of problems including modeling, relevance and recommendation. Build production quality solutions that balance complexity and performance. Participate in the engineering life-cycle at Balbix, including designing high quality ML infrastructure and data pipelines, writing production code, conducting code reviews and working alongside our infrastructure and reliability teams. Drive the architecture and the usage of open source software library for numerical computation such as TensorFlow, PyTorch, and ScikitLearn