Sewing machine operator • richmond bc
Architect & Build: Design, develop, and deploy scalable machine learning models and AI systems (ranging from predictive models to Generative AI and LLM-powered agents) that directly impact Workday'... Show more
Before the detail, here's the challenge you'd help us solve.We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future.Very f... Show more
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Looking to add some experienced Forklift Operators to join our team!.We are looking for Forklift Operators (SDCB) who can assist with warehouse duties in our busy facility.We are looking to hire wo... Show more
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Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world.Here, everyone is part of the story.Part of a community that connects across the globe.A ... Show more
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Operates Tamper in a safe manner to perform maintenance and construction activities in the repair and rebuilding of track structure.Primary/Essential Responsibilities and Duties.Operates Tamping Ma... Show more
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Coke Canada Bottling Forklift Operators are responsible for moving product or materials in a production or warehouse environment using power tools and vehicles.Operate industrial vehicles and equip... Show more
Job Title: Stand-Up Clamp Truck Operator.We are seeking a dedicated and skilled Stand-Up Clamp Truck Operator to support a last-mile delivery warehouse that specializes in handling large items such... Show more
Receiver / Reach Forklift Operator.This Receiver/High Reach Forklift Operator role is ideal for a professional who has experience in a busy warehouse environment, solving problems and enjoy working... Show more
Our client is a leading Canadian digital infrastructure organization with a strong presence in Vancouver and across major Canadian markets.They support businesses andmunities through providing miss... Show more
Machine shop Helper – Aerospace Machine Shop.Entry Level | Long-Term Opportunity.We are looking for machine shop helper to join our growing aerospace machining team.We are seeking a handyman with b... Show more
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About the Role
What you will do:
Architect & Build: Design, develop, and deploy scalable machine learning models and AI systems (ranging from predictive models to Generative AI and LLM-powered agents) that directly impact Workday's core enterprise applications.
End-to-End Ownership: Take full ownership of the ML lifecycle, including data extraction, feature engineering, model training, deployment, optimization, and continuous monitoring in a high-scale production environment.
Cross-Functional Collaboration: Partner closely with Data Scientists, Software Engineers, Product Managers, and UX Designers to translate complex business problems into robust AI solutions.
Drive Technical Excellence: Establish and advocate for engineering best practices, robust MLOps processes, and highly optimized code.
Mentorship & Leadership: Guide and mentor junior engineers, conduct code and architecture reviews, and help shape the technical roadmap for your team.
Champion Responsible AI: Ensure all models adhere to Workday's strict standards for data privacy, security, fairness, and ethical AI practices.
About You
Basic Qualifications (Sr Machine Learning Engineer)
Experience: 7+ years of industry experience in software engineering with a strong focus on applied machine learning, deep learning, or NLP.
Programming Mastery: Expert-level proficiency in Python and strong software engineering fundamentals (data structures, algorithms, object-oriented design).
ML Frameworks: Deep hands-on experience with industry-standard machine learning and deep learning libraries (e.g., PyTorch, TensorFlow, Scikit-learn, Hugging Face).
Production Deployment: Proven track record of taking ML models out of research/notebook environments and deploying them into scalable, high-traffic production systems.
Cloud & Infrastructure: Solid experience with cloud computing platforms (AWS or GCP) and modern infrastructure tools (Docker, Kubernetes).
Education: Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related highly quantitative field (or equivalent practical experience).
Basic Qualifications (Machine Learning Engineer)
Experience: 5+ years of industry experience in software engineering with a strong focus on applied machine learning, deep learning, or NLP.
Programming Mastery: Expert-level proficiency in Python and strong software engineering fundamentals (data structures, algorithms, object-oriented design).
ML Frameworks: Deep hands-on experience with industry-standard machine learning and deep learning libraries (e.g., PyTorch, TensorFlow, Scikit-learn, Hugging Face).
Production Deployment: Proven track record of taking ML models out of research/notebook environments and deploying them into scalable, high-traffic production systems.
Cloud & Infrastructure: Solid experience with cloud computing platforms (AWS or GCP) and modern infrastructure tools (Docker, Kubernetes).
Education: Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related highly quantitative field (or equivalent practical experience).
Workday Pay Transparency Statement
The annualized base salary ranges for the primary location and any additional locations are listed below. Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate’s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday’s comprehensive benefits, please .
Primary Location: CAN.BC.VancouverPrimary CAN Base Pay Range: $156,000 - $234,000 CADAdditional CAN Location(s) Base Pay Range: $156,000 - $234,000 CAD
