
1 - 10 employés
⚖️ Juridique
💼 Conseil
🛡️ Assurance
💰 €7 500 000 Series A en 2022-02
Legal • Consulting • Insurance
Ex Parte est une entreprise qui utilise l'intelligence artificielle et le machine learning pour prédire les résultats des litiges, offrant à ses clients un avantage décisif dans les batailles juridiques. L'entreprise se concentre sur la fourniture de solutions innovantes qui aident les clients à naviguer et à réussir dans le domaine juridique en tirant parti de technologies avancées.
🕒 il y a 4 mois
🗣️🇺🇸🇬🇧 Anglais requis
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1 - 10 employés
⚖️ Juridique
💼 Conseil
🛡️ Assurance
💰 €7 500 000 Series A en 2022-02
Legal • Consulting • Insurance
Ex Parte est une entreprise qui utilise l'intelligence artificielle et le machine learning pour prédire les résultats des litiges, offrant à ses clients un avantage décisif dans les batailles juridiques. L'entreprise se concentre sur la fourniture de solutions innovantes qui aident les clients à naviguer et à réussir dans le domaine juridique en tirant parti de technologies avancées.
• Work directly with product owners and data experts to build products that solve complex client problems • Build and support a distributed platform supporting all ExParte data • Work across our product, primarily on the data pipelines • Interface directly with internal teams • Evaluate software and implementation options and document them for technical teams • Work with data analysts to collect insight on possible data collection efficiencies and identify automation potential for manual workflows • Integrate best qualitative practices in program design and development • Be a part of a distributed team (we’re in North America and Europe) • Work with Azure cloud and Databricks • Develop technical architectures and specific implementations to meet business needs • Guide the team’s software engineering best practices by documenting standards and completing code reviews • Troubleshoot new and existing code and provide feedback and solutions to structural issues in the codebase as they arise • Advise on the feasibility of nonfunctional requirements and ensure the successful implementation of features while meeting those requirements
• 3+ years experience with RDBMS and T-SQL • 3+ years experience with NoSQL and DataLakes • 3+ Knowledge of Spark, Python, or Scala • Strong familiarity with map/reduce programming models • Proficiency in writing production-quality code • Deep expertise in database schema design, optimization, and scalability • Experience with Azure or AWS cloud-based service-oriented architecture • Solid understanding of testing pyramid (unit, integration, black box, service) • Experience working in an Agile/Scrum environment • Strong analytical and problem-solving skills • Good time management and organizational skills • Ability to work on challenging issues independently or in a team environment • Ability to learn and adapt quickly to new technologies and environments • Strong communication skills • Nice-to-have's: • Experience with Databricks or Azure ML • Experience applying machine learning algorithms to solve complex data mining problems • Experience with BI tools • Understanding of cloud platforms and providers and DevOps • Bachelor's Degree in Computer Science, Engineering, Mathematics or related field
• Employees can work remotely
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