Job Summary:
Lead comprehensive applications/web development for highly complex projects; typically work as part of a team to implement complex business solutions. Deliver strategic and expert coding; focus on overarching development strategy for a large, complex, multi-faceted application. May manage a number of projects simultaneously.
Job-Specific Responsibilities:
- Build trust and collaboration by being present on-site and engaging directly with colleagues and various constituents.
- Architect, build, maintain, and improve new and existing suite of GenAI applications and their underlying systems.
- Automate machine learning pipelines, monitor performance and costs, and optimize models by using techniques such as LoRA/QLoRA.
- Establish reusable frameworks to streamline model building, deployment and monitoring. Incorporate comprehensive monitoring, logging, tracing, and alerting mechanisms.
- Build guardrails, compliance rules and oversight workflows into the GenAI application platform, such as establishing approval chains for model updates and staged rollout for production releases
- Develop templates, guides and sandbox environments for easy onboarding of new contributors and experimentation with new techniques
- Ensure development of user-facing applications in the GenAI application platform is easy and safe by enforcing rigorous validation testing before publishing user-generated models and implement a clear peer review process of applications
- Use your entrepreneurial spirit to identify new opportunities to optimize business processes, improve consumer experiences, and prototype solutions to demonstrate value.
- Work closely with data scientists and analysts to create and deploy new product features online and in mobile apps.
- Contribute to and promote good software engineering practices across the team.
- Mentor and educate team members to adopt best practices in writing and maintaining production machine learning code.
- Actively contribute to and re-use community best practices.
- Monitor, debug, track, and resolve production issues.
- Work with project managers to ensure that projects proceed on time and on budget.
- Collaborate with Technical Product Managers to ensure proper tracking of algorithmic performance KPIs and prioritize performance improvements based on effort and impact.
- Build trust and collaboration by being present on-site and engaging directly with
colleagues and various constituents. - Complete other responsibilities as assigned.