Automation Engineer, Robotics

🔥 3 hours ago

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TELUS Digital

201 - 500 employees

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

TELUS Digital is an award-winning digital consultancy that combines human-centered design, software engineering, data science and generative AI to create AI‑fueled digital experiences and platforms for global brands. The company provides services in experience strategy, UX research and design, engineering and architecture, data science and engineering, digital marketing, and product/project delivery, and operates Fuel iX™, an enterprise-focused generative AI engine to help businesses move AI initiatives into production. TELUS Digital emphasizes a collaborative culture, global hiring, and accessibility in its hiring practices.

📋 Description

• Design and build automation and human-in-the-loop (HITL) pipelines for high-quality egocentric data collection and annotation • Monitor and optimize AI pipelines by 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 connecting 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 • Collaborate with Quality Specialists using established rubrics and industry-leading standards for robotics data collection and annotation

🎯 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 • Bachelor’s or Master’s Degree in Computer Science, Data Engineering, Artificial Intelligence, or a related field, or equivalent experience • Proficiency with orchestration tools/frameworks such as Airflow, Prefect, LangChain, Dagster, Kubeflow, or similar • Strong data insights and programming skills; Python preferred • Familiarity with Generative AI models, including LLMs and diffusion models, and their deployment • Strong problem-solving and analytical skills to optimize workflows • Excellent communication and collaboration skills across technical and non-technical teams • Ability to work remotely in the United States • Travel required

🏖️ Benefits

• Annual Performance Bonus up to 7% • Remote work arrangement • Travel opportunities/requirement associated with collection sites • Equal opportunity and inclusive workplace

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