The Digital Intelligence team at the company is looking to leverage large-scale computation, substantial datasets, and machine learning to enhance customer products across a broad spectrum.
Requirements
Expertise in one or more of the following areas: machine learning, Graph learning, recommendation systems, network analysis, natural language processing, Reinforcement learning, MLOps.
Solid understanding of core CS concepts, including common data structures and algorithms.
Experienced in conducting design and code reviews.
Proficient in cloud environments such as AWS, GCP, or Azure.
Experienced in managing and deriving insights from large, both unstructured and structured datasets.
Responsibilities
Oversee the analysis of complex datasets to inform decisions on real-world applications.
Lead the development and implementation of models and algorithms to enhance existing systems, processes, and products.
Supervise data analysis activities and ensure effective visualizations are provided.
Ensure the writing and deployment of software code in production systems is efficient and meets standards.
Anticipate risks associated with machine learning solutions and prediction/classification systems and strategize mitigation.
Communicate complex issues clearly and credibly to senior management and stakeholders.
Foster a transparent cross-functional work environment and influence peers and team members to uphold these standards.
Other
Master's degree in computer Science, Machine Learning or related field with 5-7 years of relevant experience
Ph.D in computer Science, Machine Learning, or a related field with 3 year of experience
Foster a transparent cross-functional work environment and influence peers and team members to uphold these standards.
Communicate complex issues clearly and credibly to senior management and stakeholders.
