Lead Data Scientist w/ ML

ZipRecruiter; Vancouver; On-site; CAD 100,000 - 150,000; Full time

Job summary

A leading company in the e-commerce sector is seeking a Technical MLOps Lead to enhance their machine learning capabilities. This role involves designing scalable models, implementing MLOps practices, and collaborating with teams to ensure successful integration of ML solutions. Ideal candidates will have a strong background in machine learning and software engineering, along with excellent communication skills.

Qualifications

• Proven experience in machine learning, data science, or related fields.
• Strong software engineering skills, especially in Python and ML frameworks.
• Experience with MLOps tools and practices.

Responsibilities

• Design and develop scalable machine learning models and pipelines.
• Implement and maintain MLOps best practices for deployment and monitoring.
• Collaborate with cross-functional teams to integrate ML solutions into production systems.

Skills

Machine Learning

Software Engineering

MLOps

Communication

Education

Bachelor’s or Master’s degree in Computer Science

Bachelor’s or Master’s degree in Data Science

Tools

Python

ML frameworks

Cloud platforms

Job description

Position Overview:

We are looking for a Technical MLOps Lead to drive the architecture, implementation, and operationalization of advanced forecasting models and machine learning systems in retail e-commerce. The ideal candidate will blend deep expertise in machine learning, software engineering, and operational excellence to deliver impactful solutions.

Responsibilities:

1. Design and develop scalable machine learning models and pipelines.
2. Implement and maintain MLOps best practices for deployment and monitoring.
3. Collaborate with cross-functional teams to integrate ML solutions into production systems.
4. Ensure the quality and performance of deployed models.
5. Stay updated with the latest advancements in machine learning and MLOps.

Minimum Requirements:

1. Proven experience in machine learning, data science, or related fields.
2. Strong software engineering skills, especially in Python, ML frameworks, and cloud platforms.
3. Experience with MLOps tools and practices.
4. Excellent interpersonal and communication skills.
5. Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.