MLOps Engineering Manager

Workday; Ontario; Hybrid; CAD 120,000 - 160,000; Full time

Job summary

A leading company in enterprise software is looking for an MLOps Engineering Manager to lead a talented team focused on integrating machine learning capabilities into their products. The role involves developing scalable ML solutions, managing project timelines, and mentoring team members. Ideal candidates will have extensive experience in software engineering and machine learning, with strong leadership and communication skills.

Qualifications

• 5+ years in management of ML or software engineering teams.
• 10+ years in software engineering with ML focus.
• Deep understanding of ML principles and algorithms.

Responsibilities

• Lead and develop a team of engineers, fostering collaboration.
• Design, develop, and deploy end-to-end ML systems.
• Oversee scalability, reliability, and performance of ML platform.

Skills

Leadership

Problem Solving

Communication

Data Engineering

Machine Learning Principles

Python

MLOps Tools

Education

Bachelor's in Computer Science or Machine Learning

Master’s Degree (preferred)

Tools

AWS

GCP

Docker

Kubernetes

PyTorch

TensorFlow

Job description

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Your work days are brighter here.

At Workday, it all began with a conversation over breakfast. When our founders met at a sunny California diner, they came up with an idea to revolutionize the enterprise software market. Our culture is driven by our value of putting our people first, focusing on the happiness, development, and contribution of every Workmate. We believe a healthy, employee-centric, collaborative culture is essential for success. We look after our people, communities, and the planet while remaining profitable. We encourage you to bring your brightest self and feel the energy and passion that make us unique.

We value your privacy and data security. Workday will never ask candidates to apply through non-Workday websites or request payment for applications or services.

About The Team

This is a growth team focused on MLOps, building ML capabilities into our products, shaping the next generation of Workday technology.

About The Role

We seek a skilled Machine Learning Manager to lead our team of engineers. You will be responsible for developing and deploying scalable ML solutions, integrating them with other services, and driving our ML strategy.

Responsibilities:

1. Lead and develop a team of engineers, fostering collaboration and innovation.
2. Design, develop, and deploy end-to-end ML systems.
3. Oversee our ML platform's scalability, reliability, and performance.
4. Integrate ML solutions with company services and systems.
5. Collaborate with cross-functional teams to meet business needs.
6. Stay current with ML and cloud tech advancements.
7. Ensure quality, security, and compliance of ML solutions.
8. Mentor team members and promote professional growth.
9. Manage project timelines, resources, and budgets.
10. Contribute to the organization’s AI/ML strategy.

About You

Basic Qualifications:

• Bachelor's in CS or ML; Master’s preferred.
• 5+ years in management of ML or software engineering teams.
• 10+ years in software engineering with ML focus.
• Deep understanding of ML principles and algorithms.
• Experience with cloud platforms (AWS, GCP) and ML services.
• Data engineering expertise, including ETL and big data tools.
• Proficiency in Python and ML frameworks (PyTorch, TensorFlow).
• Knowledge of software development processes and version control.
• Experience with Docker, Kubernetes, and databases.

Other Qualifications:

• Excellent communication and leadership skills.
• Strong problem-solving abilities.
• Ability to thrive in a fast-paced environment.
• Experience with MLOps tools like Kubeflow.
• Contributions to open-source ML projects are a plus.
• Experience in NLP, recommendation systems, or related domains.

Pay Transparency and Flexibility

Salary ranges are provided, and compensation is based on various factors. We offer flexible work arrangements, combining in-office and remote work, with at least 50% in the office per quarter.