Familiar with deep learning fundamentals: models, optimisation, evaluation and scaling. Capable of designing, executing and reporting from ML experiments. Mathematics skills to support the above: calculus, probability theory and linear algebra. Desirable Experience in one or more of: distributed computing, efficient computing based on low-precision arithmetic, deep learning models including large generative models for language, vision and other More ❯
pipelines and architectures across multiple technical areas within various business functions to support the firm’s objectives. Job Responsibilities Data Modeling: Develop and maintain data models using firmwide tooling, linearalgebra, statistics, and geometrical algorithms. Data Platform Solutions: Design and implement secure, stable, and scalable data solutions for collection, storage, access, and analytics. Data Pipeline Development: Create robust … visualization tools like Tableau, Power BI, or similar. Experience with relational and NoSQL databases. Experience across the data lifecycle and database backup, recovery, and archiving strategies. Proficient knowledge of linearalgebra, statistics, and geometrical algorithms. Knowledge of data warehousing solutions such as Amazon Redshift, Snowflake, or Databricks. Preferred Qualifications Understanding of machine learning concepts and tools is a More ❯
architectures across multiple technical areas within various business functions in support of the firm's business objectives. Job responsibilities Data Modeling : Develop and maintain data models using firmwide tooling, linearalgebra, statistics, and geometrical algorithms. Data Platform Solutions : Design and implement secure, stable, and scalable data collection, storage, access, and analytics solutions. Data Pipeline Development : Define and create … or similar Working experience with both relational and NoSQL databases Experience and proficiency across the data lifecycle Experience with database back-up, recovery, and archiving strategy Proficient knowledge of linearalgebra, statistics, and geometrical algorithms Knowledge of data warehousing solutions like Amazon Redshift, Snowflake or Databricks. Preferred Qualifications Understanding of machine learning concepts and tools is a plus. More ❯
architectures across multiple technical areas within various business functions in support of the firm’s business objectives. Job responsibilities Data Modeling : Develop and maintain data models using firmwide tooling, linearalgebra, statistics, and geometrical algorithms. Data Platform Solutions : Design and implement secure, stable, and scalable data collection, storage, access, and analytics solutions. Data Pipeline Development : Define and create … BI, or similar Working experience with bothrelational and NoSQL databases Experience and proficiency across the data lifecycle Experience with database back-up, recovery, and archiving strategy Proficient knowledge of linearalgebra, statistics, and geometrical algorithms Knowledge of data warehousing solutions like Amazon Redshift, Snowflake or Databricks. Preferred Qualifications Understanding of machine learning concepts and tools is a plus. More ❯