Machine Learning Engineer

DOCEO AI; Edmonton; On-site; CAD 80,000 - 120,000; Full time

Job summary

A leading company in artificial intelligence is seeking a Machine Learning Engineer to develop and deploy AI models for educational applications. The role involves optimizing solutions and collaborating with various stakeholders to enhance learning outcomes. Candidates should have a relevant degree and experience in Python and machine learning frameworks.

Qualifications

• 2 – 5 years of relevant experience.
• Strong proficiency in Python and data science libraries.
• Understanding of ethical AI considerations and bias mitigation.

Responsibilities

• Design, develop, and optimize machine learning models.
• Implement Retrieval-Augmented Generation (RAG) systems.
• Collaborate with MLOps engineers to deploy models.

Skills

Python

TensorFlow

PyTorch

Scikit-Learn

Natural Language Processing (NLP)

Retrieval-Augmented Generation (RAG)

Cloud Platforms

Machine Learning

Education

Bachelor’s or Master’s degree in Computer Science, Machine Learning, AI, or related field

Tools

MLflow

Kubeflow

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.

Machine Learning Engineer • Edmonton, Division No. 11, Canada