5 months ago

AI Engineer/Senior AI Engineer - Evisort

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Join the Evisort AI team within Workday to build and deploy ML systems at scale, leveraging LLMs, Knowledge Graphs, and personalization. Collaborate with software and data engineering to train, deploy, and lifecycle-manage ML models, delivering AI-first products that enhance contract intelligence and user experiences for a global customer base.

Location: Canada

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Develop tailored user experiences using advanced LLMs, Knowledge Graphs, personalization, and predictive analysis.
•Collaborate with other engineers to deliver ML solutions across Workday’s product ecosystem and utilize software and data engineering stacks to enable training, deployment, and lifecycle management of ML models.
•Develop and deploy new products at scale leveraging Workday’s computing resources and rich datasets.
•Contribute to feature and service development with a focus on quality, scale, and security, and continuously improve practices.
•Bring a product mindset and strong ownership, questioning decisions where improvements are possible and working effectively in a team-oriented environment.

Pay and Benefits

Salary: CAD 128,000 - 192,000 annually

Key Requirements

•5+ years experience as a member of a data science, machine learning engineering, or other relevant software development team building applied machine learning products at scale, including taking products through applied research, design, implementation, production, and production-based evaluation
•2+ years of professional experience in machine learning and deep learning frameworks & toolkits such as Pytorch, TensorFlow
•2+ years of professional experience in building services to host machine learning models in production at scale
•2+ years of demonstrated experience working with large language models (LLMs), text generation models, and/or graph neural network models for real-world use cases
•2+ years of proven experience with cloud computing platforms (e.g. AWS, GCP, etc.)

Experience:5+ yearsAI

Education:Bachelor's

Skills:CommunicationCollaborationProblem-solving

Tech Stack:PyTorchTensorFlowLLMsGraph Neural NetworksAWSGCP

Company Brief

Workday

Provides cloud-based enterprise applications for human capital management, financial management, payroll, and analytics. Delivers unified HR and finance software suites to large organizations, enabling workforce planning, talent management, payroll, and financial reporting.

Industry: HR Tech

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Pleasanton, United States

Founded: 2005

Website LinkedIn

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Workday

5 months ago

AI Engineer/Senior AI Engineer - Evisort

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Location: Canada

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Develop tailored user experiences using advanced LLMs, Knowledge Graphs, personalization, and predictive analysis.
•Collaborate with other engineers to deliver ML solutions across Workday’s product ecosystem and utilize software and data engineering stacks to enable training, deployment, and lifecycle management of ML models.
•Develop and deploy new products at scale leveraging Workday’s computing resources and rich datasets.
•Contribute to feature and service development with a focus on quality, scale, and security, and continuously improve practices.
•Bring a product mindset and strong ownership, questioning decisions where improvements are possible and working effectively in a team-oriented environment.

Pay and Benefits

Salary: CAD 128,000 - 192,000 annually

Key Requirements

•5+ years experience as a member of a data science, machine learning engineering, or other relevant software development team building applied machine learning products at scale, including taking products through applied research, design, implementation, production, and production-based evaluation
•2+ years of professional experience in machine learning and deep learning frameworks & toolkits such as Pytorch, TensorFlow
•2+ years of professional experience in building services to host machine learning models in production at scale
•2+ years of demonstrated experience working with large language models (LLMs), text generation models, and/or graph neural network models for real-world use cases
•2+ years of proven experience with cloud computing platforms (e.g. AWS, GCP, etc.)

Experience:5+ yearsAI

Education:Bachelor's

Skills:CommunicationCollaborationProblem-solving

Tech Stack:PyTorchTensorFlowLLMsGraph Neural NetworksAWSGCP

Company Brief

Workday

Industry: HR Tech

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Pleasanton, United States

Founded: 2005

Website LinkedIn