We work on state of the art agentic systems built around Large Language Models (LLM). This is a fast paced dynamic environment to rapidly experiment and deliver scaled runtime solutions based on experiments and research based on LLM agents.
As a Senior Machine Learning Engineer on the team, you will collaborate closely with science teams to bring research to production. This is a role that combines engineering knowledge (around machine learning, agent frameworks, computer vision), technical strength, and product focus. You will lead the design and development of novel ML systems, product integrations, and performance optimizations into production. While ensuring CI/CD compliance and ensuring best practices in software development and cloud infrastructure are followed (in the realm of scalability, security and availability).
Key job responsibilities
- Design, develop, test and deploy inference solutions for high-end LLMs
- Explore emerging inference optimization techniques
- Collaborate with cross-functional teams of engineers and scientists to identify and solve complex problems
- Own the development and operationalization of solutions deployed in production.
- Design model experimentation processes and frameworks in synergy with our scientists.
- Help the team grow and cultivate best practices in software development, MLOps, and experimentation.
