Chief Machine Learning Architect
1 week ago
Overview:
We are seeking a highly skilled Machine Learning Engineer to join our team. As a key member of our organization, you will be responsible for designing and implementing machine learning algorithms for real-world predictive analytics in a production environment.
Job Responsibilities:
- Design and implement machine learning algorithms for real-world predictive analytics in a production environment.
- Leverage our in-house 'Big Data' to build predictive models on computing clusters with hundreds of nodes and massive volumes of data.
- Design and write programs for data extraction, segmentation and statistical analysis on large population datasets using proprietary parallel computing platforms.
- Delve analytic insights and recommendations in succinct and compelling presentations for internal and external customers and an executive audience.
- Provide mentorship and training to junior colleagues and maintain progress on all initiatives under limited direct supervision.
Requirements:
- Ph.D. or master's degree in computer science, electrical engineering, physics, mathematics, statistics, or other quantitative discipline.
- In-depth knowledge of machine learning tools and techniques such as neural networks, decision trees, support vector machines, genetic algorithms, logistic regression, clustering, variable selection, etc.
- Knowledge of some combination of C/C++, Python, R, or other general-purpose programming languages.
- Experience working with large, real-word data sets.
- Unix/Linux command line.
- Familiarity with relational database design and concepts.
Nice-to-Have:
- Research and publication history in peer-reviewed scientific or technical journals and conferences.
- Previous experience doing predictive analytics in banking and finance, healthcare, gaming, telco, marketing, or other industry.
- Experience with generative AI, Large Language Models (LLMs), deep neural nets, and reinforcement learning.
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