Job Description
📋 Description Design and build an automation and HITL pipeline for high quality egocentric data collection and Monitor and optimize AI pipelines, addressing bottlenecks, errors, and inefficiencies Rapidly iterate AI pipelines based on customer requirements Collaborate with data scientists, engineers, and business stakeholders to define use cases and Establish best practices for AI orchestration, versioning, monitoring, and lifecycle management Document processes, technical architectures, and orchestration standards for knowledge sharing 🎯 Requirements Previous experience in Robotics training pipelines from Automation and HITL perspectives 3+ years of experience in AI/ML engineering, data engineering, or workflow orchestration; GenAI/LLM Bachelor’s or Master’s Degree in Computer Science, Data Engineering, AI, or related field (or Proficiency with orchestration tools/frameworks (e.g., Airflow, Prefect, LangChain, Dagster Strong data insights and programming skills (Python preferred) for building and integrating Familiarity with Generative AI models (LLMs, diffusion models) and their deployment
