Leverage large-scale computation, substantial datasets, and machine learning to enhance crucial customer products across a broad spectrum, solving complex relevance and ranking problems, developing scalable features, and managing ML Ops for building innovative systems.
Requirements
- Expertise in one or more of the following areas: machine learning, Graph learning, recommendation systems, network analysis, natural language processing, Reinforcement learning, MLOps, Gen AI, LLMs.
- 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.
Other
- 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.
- Master's degree in computer Science, Machine Learning or related field with 3 years of relevant experience Ph.D in computer Science, Machine Learning, or a related field with 1 year of experience.
