Design and develop scalable backend applications and RESTful APIs using Python and AWS. Collaborate on frontend development with React and participate in the full software development life cycle for an AI-powered SaaS platform.
The role involves troubleshooting and resolving operational issues across applications, databases, and cloud environments. It also requires designing and maintaining applications and RESTful APIs to improve system performance and reliability.
Develop and enhance iOS application features using Swift while supporting backend integrations with Python and PostgreSQL. Collaborate with cross-functional teams in a fast-paced agile environment to deliver features quickly.
The Data Solutions Architect will define and govern enterprise-wide data architecture to ensure alignment with business strategy and regulatory requirements. They will lead the design of AI and machine learning platforms while driving the adoption of modern data paradigms like Data Mesh.
The Data Engineer will design and maintain scalable ETL/ELT pipelines and data platforms to support analytics and AI initiatives. They will collaborate with cross-functional teams to ensure data quality, security, and performance within financial services environments.
Design and deploy advanced machine learning models to address critical financial use cases such as credit risk, fraud detection, and customer analytics. Collaborate with cross-functional teams to build scalable data pipelines and present actionable insights to senior stakeholders.
The Virtual Assistant will research industry trends and draft authentic LinkedIn comments for C-level executives to facilitate engagement. They will also track performance metrics and provide weekly reports on content impact and emerging conversation opportunities.
Design, develop, and maintain full-stack web applications using React, Python, and Django. Collaborate with cross-functional teams to deliver scalable solutions and ensure high code quality through testing and reviews.
