Lead, Architecture

Job Description

Responsibilities Responsibilities : Construct machine learning lifecycle management including data collection, normalization, and standardization within a data pipeline construction Architect technology components and build applications and interfaces for customer's consumption Experiment, develop and productionize high quality machine learning services and platforms to make huge technology and business impact. Develop hosting platform for machine learning models. Create pipelines to query and retrieve and update data for existing applications to keep them updated Supervise the scaling and management of the machine learning modeling ecosystem Work alongside data scientists and product owners to improve aspects of their lines of business through machine learning What Were Looking For: Possess excellent verbal & written communication skills Expertise in application, data, and infrastructure architecture disciplines Advanced knowledge of architecture and design across all systems Proficiency in multiple machine learning programming languages including Python, PySpark, or Scala 5 + years of experience with big-data technologies such as Hadoop, Spark, SparkML, etc Able to understand various data structures and common methods in data transformation Knowledge of industry-wide technology trends and best practices Ability to work in large, collaborative teams to achieve organizational goals Passionate about building an innovative culture Familiarity with MLOps and ModelOps Docker, Kubernetes, AWS, Python Familiarity with or clear interest in learning about financial Markets.