USAAutomation Engineer (Robotics)
3 нед. назад
104.8k–131k USD / yearUSAMiddleRemote
roboticsautomation
Automation Engineer (Robotics) role at focused on intelligent automation and collaboration with quality specialists.
О компании
- Welcome to — where innovation drives impact at a global scale. As an award-winning digital product consultancy and the digital division of TELUS , one of Canada’s largest telecommunications providers, we design and deliver transformative customer experiences through cutting-edge technology, agile thinking, and a people-first culture.
- With a global team across North America, South America, Central America, Europe, and APAC, we offer end-to-end expertise across eight core service areas: Digital Product Consulting, Digital Marketing Services, Data & AI, Strategy Consulting, Business Operations Modernization, Enterprise Applications, Cloud Engineering, and QA & Test Engineering.
- From mobile apps and websites to voice UI, chatbots, AI, customer service, and in-store solutions, enables seamless, trusted, and digitally powered experiences that meet customers wherever they are — all backed by the secure infrastructure and scale of our multi-billion-dollar parent company.
Обязанности
- Shape the future of intelligent automation as an innovative, detail-oriented Automation Engineer (Robotics) at ! 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.
- 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
Требования
- 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
Другое
- While 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.
- At , we are proud to be an equal opportunity employer and are committed to creating a diverse and inclusive workplace. All aspects of employment, including the decision to hire and promote, are based on applicants’ qualifications, merits, competence and performance without regard to any characteristic related to diversity.
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