Location & FlexibilityWhile our ideal candidate will be based in California due to proximity to collection sites, this role is open remotely in the United States with travel required.
The OpportunityShape the future of intelligent automation as an innovative, detail-oriented Automation Engineer (Robotics) at TELUS Digital! In this role, you will collaborate closely with world-class Quality Specialists, leveraging established rubrics and industry-leading standards for robotics data collection and annotation from design, integrate, and manage scalable, human-in-the-loop workflows.
By bridging cutting-edge AI models, tools, and services, you will turn complex business needs into high-impact, AI-driven solutions. Our ideal candidate pairs strong technical expertise in AI/ML and modern orchestration frameworks with exceptional problem-solving and strategic thinking, ensuring our robotics initiatives are seamlessly deployed, optimized, and continuously elevated.
Responsibilities- Design and build an automation and HITL pipeline for high quality egocentric data collection and annotation.
- 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 translate them into orchestrated AI solutions.
- Establish best practices for AI orchestration, versioning, monitoring, and lifecycle management.
- Document processes, technical architectures, and orchestration standards for knowledge sharing.
- Design and implement orchestration pipelines that connect multiple GenAI models, APIs, and tools into end-to-end workflows.
- Stay updated on advancements in AI orchestration, LLMs, and automation tools to continuously enhance solutions.
Qualifications- Previous experience in Robotics training pipelines from Automation and HITL perspectives.
- 3+ years of experience in AI/ML engineering, data engineering, or workflow orchestration. Experience in GenAI/LLM orchestration is a strong plus.
- Bachelor's or Master's Degree in Computer Science, Data Engineering, Artificial Intelligence, or related field (or equivalent experience).
- Proficiency with orchestration tools/frameworks (e.g., Airflow, Prefect, LangChain, Dagster, Kubeflow, or similar).
- Strong data insights and programming skills (Python preferred) for building and integrating orchestration pipelines.
- Familiarity with Generative AI models (e.g., LLMs, diffusion models) and their deployment.
- Strong problem-solving and analytical skills to optimize workflows.
- Excellent communication and collaboration skills to work across technical and non-technical teams.
