Search the 7 jobs at Ex Parte

Lead a team working on AI self-service portal and related microservices, contribute to data platform, work with product owners and data experts to solve complex problems, support distributed platform, work on data pipelines, interface with internal teams, evaluate software and implementation options, integrate best practices in program design, work with Azure cloud and Databricks, guide software engineering best practices, troubleshoot code issues, advise on nonfunctional requirements, and ensure successful implementation of features.

Lead a team that owns the AI self-service portal and related microservices. Build high-quality user interfaces, collaborate with engineers and product designers, work on front-end development, and be part of a distributed team. Work with Azure cloud and Databricks.

Participate in building and supporting a distributed data platform, work with product owners and data experts, evaluate software options, integrate best practices, and collaborate with internal teams. Requires knowledge of Spark, Python, or Scala, experience with RDBMS and NoSQL, familiarity with map/reduce programming models, expertise in database schema design, and proficiency in writing production-quality code.

As a Data QA Engineer, you will be responsible for ensuring data quality throughout the ETL lifecycle. You will design and build testing frameworks, write complex SQL queries, and collaborate with analytic teams to investigate data quality issues. The ideal candidate has at least 5 years of QA experience, strong knowledge of Python and SQL, and familiarity with Databricks and Azure ML.

Seeking a talented and enthusiastic Senior Data Scientist to drive risk monitoring, develop prediction models, and deliver high performing models. Strong skills in Python, SQL, and machine learning are required. Strong communication and leadership skills desired. Minimum 5 years of applied data science experience.

Lead a team that owns the AI self-service portal and related microservices. Contribute to the data platform and work with cross-functional teams. Opportunity to grow in back-end or ML/AI work. Work with product owners and data experts to build products. Strong knowledge of RDBMS, T-SQL, NoSQL, DataLakes, Spark, Python, Scala, and map/reduce programming. Familiarity with cloud-based architecture. Agile/Scrum experience.

Leading a web team responsible for the AI self-service portal and microservices. Building high-quality and performant user interfaces. Collaborating with product designers and front-end engineers. Working with Azure cloud and Databricks. Guiding software engineering best practices.