Job TitleView:Data or backend or machine learningNeed one expert level and familiar with the other twoBackend software dev w/ data science certificatePython is used but any language worksStrong data background like datastage and some software dev with python for ETLDaily:Improve on data science models- deploy and monitor in productionDeployments w/ day to day monitoringAlso quarterly monitoring- AI machine learning and check performance for tolerance (machine learning background helps here)Ability to run reports/ analysisData: Advanced SQL ExpertiseExperience with relational databases, data warehousing, data modelingETL experience with at least one tool (i.e. DataStage, Informatica)Experience with Big Data (preferably Hadoop, spark)Experience with Cloud Data platforms (i.e. Snowflake/AWS)Familiarity with Kafka / streaming data patternsBackend Software Development: Experience with enterprise application development (preferably in Python, other languages are okay with a desire to learn Python)Ability to develop unit testing of code components or complete applicationsShell scripting experience (Linux)Version control/git experienceFamiliarity with Agile / Software Development Lifecycle best practicesMachine Learning Operations: Basic understanding of various machine learning algorithmsExperience working with data scientists to advise and consult on model development practicesFamiliar with architectural patterns for deploying and executing machine learning modelsExperience with model governance for financial services use casesGeneral IT production operations experience (supporting any IT solution in production, does not have to be machine learning)Must have skills/technologies:PythonSupport production items (true enterprise production support) – shipping code, not making prototypesNice to haves skills/technologies:Financial services experienceGovernance/data quality experience