Work with business users to understand their needs gaps and opportunities and able to convert their needs into workingproduction quality code;
Work with UI designers and front end development team to integrate AI capabilities into a best in class user experience/workflows;
Support maintain and handle feedback to continuously improve and enhance the latest AI technology;
Evolve and improve AI software stack keeping up on latest models/frameworks and tooling;
Prototype AI/MLdriven solutions and integrations with thirdparty APIs (e.g. Azure OpenAI) vendor products and open source frameworks (e.g. LangChain);
Oversee technical feasibility studies and proofofconcept projects to validate the potential impact of AI/ML solutions;
Manage the integration of tools with existing business processes and data source;
Ensure the quality and efficiency of automations through robust development practices and standards;
Coordinate with internal development and infrastructure teams to facilitate access to necessary data and systems for AI/ML tools.
Requirements:
Bachelors or masters degree in Computer Science AI Data Science or related field;
At least 5 years professional software development experience with recent handson expertise in AI/ML GenAI and supportingecosystem (Azure Cloud Vector Search LangChain/Graph);
Advanced understanding of Python application architecture including sync / async workers (celery/topics/queues);
Strong understanding of Web Application Architecture including ReactJS and SPA Applications;
Eagerness to continuously learn teach and deliver;
Excellent problemsolving abilities and a strategic mindset;
Familiarity with data infrastructure and the latest industry standards for data security and privacy;
Strong written and verbal communication skills for effective articulation of complex ideas and collaboration across departments.
Nice to have:
Experience integrating DevOps practices into the product lifecycle for improved deployment and monitoring including Docker; Experience with web testing/sing/scripting and automation tools (e.g. Selenium); Experience with Web UI React/NodeJS; A foundational understanding of financial markets and various trading instruments or a willingness to learn.
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