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Machine Learning Engineer
1 month ago
Cerberus Capital Management is seeking a highly skilled Machine Learning Engineer to join our team. As a key member of our CTS team, you will be responsible for designing, implementing, and deploying machine learning models and tools to drive business value.
Responsibilities:- Develop and deploy predictive models using machine learning techniques to generate data-driven insights.
- Design and implement data pipelines to connect and blend data from various sources.
- Collaborate with cross-functional teams to develop and productionalize containerized algorithms for deployment in hybrid cloud environments.
- Develop and maintain metrics and analytical reports to ensure data quality and business value.
- Participate in the development of back-end data pipelines and front-end applications.
- Apply statistical methods to predict future business outcomes.
- Participate in due diligence of investment proposals as a technology expert.
- 6+ years of experience in an engineering role with a degree in Mathematics, Engineering, Statistics, Computer Science, or Physics.
- Strong knowledge of machine learning methods, including regularization, random forests, neural networks, and deep learning.
- Experience with Python programming and familiarity with Scala, R, and SQL.
- Familiarity with DevOps processes and cloud environments, especially MS Azure.
- Ability to present ideas and solutions in a business-friendly and user-friendly language.
Cerberus Capital Management is a leading private investment firm with a strong focus on leveraging emerging technology, data, and advanced analytics to drive transformations. Our team of expert technologists works closely with our investment and operating professionals to identify business opportunities and create new business value through improved data handling and analysis.
The base salary for this position is expected to be between $130,000.00 and $200,000.00, with an annual discretionary bonus and a robust benefits package.
