Machine Learning Engineer

DOCEO AI; Edmonton; On-site; CAD 60,000 - 100,000; Full time

Job summary

An established industry player is seeking a Machine Learning Engineer to develop and deploy AI models aimed at enhancing educational outcomes. In this role, you will work with a diverse team to create innovative solutions that analyze student data and recommend personalized strategies. Your expertise in Python and machine learning frameworks will be crucial in designing effective models and ensuring ethical AI practices. This exciting opportunity allows you to contribute to meaningful projects that directly impact learning experiences. If you're passionate about AI and education, this role is perfect for you!

Qualifications

• 2-5 years of experience in machine learning and AI.
• Proficient in Python and data science libraries.

Responsibilities

• Design and optimize machine learning models for education.
• Collaborate with MLOps engineers for cloud deployment.

Skills

Python

Machine Learning

Data Science Libraries

NLP

Ethical AI Considerations

Education

Bachelor’s degree in Computer Science

Master’s degree in Machine Learning

Tools

TensorFlow

PyTorch

Scikit-Learn

MLOps tools (MLflow, Kubeflow)

AWS

Azure

GCP

Job description

Direct message the job poster from DOCEO AI

Software Product Development | Artificial Intelligence (AI)

About the Role

As a Machine Learning Engineer at DOCEO AI, you will be responsible for developing and deploying AI models that analyze school and student data, predict challenges, and recommend personalized strategies to improve learning outcomes. You will work closely with educators, data engineers, and MLOps specialists to integrate machine learning models into our education-focused platform.

Responsibilities

• Design, develop, and optimize machine learning models.
• Implement Retrieval-Augmented Generation (RAG) systems.
• Develop, train, and fine-tune models on structured and unstructured student and district data sources.
• Conduct performance evaluation, model validation and optimization ensuring effectiveness and ethical compliance.
• Collaborate with MLOps engineers to deploy models in a cloud-based infrastructure.
• Work with educators and stakeholders to refine solutions based on real-world feedback.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, AI, or related field.
• 2 – 5 years of relevant experience.
• Strong proficiency in Python and data science libraries such as TensorFlow, PyTorch, and Scikit-Learn.
• Experience in NLP, LLMs, and retrieval-augmented generation systems.
• Familiarity with cloud platforms such as AWS, Azure, or GCP.
• Understanding of ethical AI considerations and bias mitigation.
• Experience with MLOps tools (MLflow, Kubeflow) is a plus.

Work Schedule

• On-site presence required 5 days a week during standard business hours.

Eligibility Requirements

• Must be a Canadian citizen, permanent resident, or hold an existing valid work permit.

For job inquiries, please email resume to [e-mail]

Seniority level

Entry level

Employment type

Full-time

Job function

Engineering and Information Technology

Industries

Software Development