Job Title: AI & ML Engineer / Architect – Azure & AWS Cloud Platforms

Location: Toronto/ Hybrid

Contract

Job Summary:

We are seeking a highly skilled AI & ML professional with deep expertise in designing, developing, and deploying machine learning solutions on Microsoft Azure and Amazon Web Services (AWS). The ideal candidate will have strong hands-on experience with cloud-native AI/ML services, modern data engineering practices, MLOps pipelines, and production-scale deployment strategies.

AI/ML Solution Design & Development

Design, develop, and optimize machine learning and AI models, including supervised, unsupervised, and deep learning approaches.

Select appropriate algorithms and frameworks based on business use cases and performance requirements.

Conduct data preprocessing, feature engineering, and exploratory data analysis.

Cloud Architecture & Integration

Architect scalable AI/ML solutions using Azure Machine Learning, Azure Cognitive Services, Azure Databricks, AWS SageMaker, AWS Rekognition, AWS Comprehend, and related services.

Integrate AI/ML pipelines with data lakes, data warehouses, and APIs.

Ensure solutions adhere to cloud architecture best practices, security, and compliance standards.

MLOps & Automation

Implement and maintain CI/CD pipelines for ML model training, testing, and deployment.

Leverage Azure DevOps, GitHub Actions, AWS CodePipeline, and Terraform/CloudFormation for automation.

Monitor model performance and retrain models as needed.

Collaboration & Stakeholder Engagement

Work closely with data engineers, data scientists, DevOps engineers, and product managers to align AI/ML solutions with business goals.

Present solution designs, performance metrics, and recommendations to technical and non-technical stakeholders.

Security, Compliance & Governance

Implement data privacy and compliance measures (e.g., HIPAA, GDPR, SOC 2).

Apply responsible AI principles for fairness, transparency, and explainability.

Required Skills & Qualifications:

Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or a related field.

5+ years of experience in AI/ML solution development and deployment.

3+ years of hands-on experience in Azure and AWS AI/ML services.

Proficiency in Python, R, and relevant ML libraries (TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers).

Strong understanding of cloud-native data storage, processing, and streaming (Azure Data Lake, AWS S3, Azure Synapse, AWS Redshift, Kinesis, Event Hubs).

Experience with Docker, Kubernetes (AKS/EKS) for containerized ML workloads.

Familiarity with big data frameworks (Spark, Databricks).

Preferred / Nice-to-Have:

Certification(s) such as:

Microsoft Certified: Azure AI Engineer Associate or Azure Solutions Architect Expert

AWS Certified Machine Learning – Specialty or AWS Solutions Architect – Professional

Experience with Generative AI, LLMs (OpenAI, Azure OpenAI, Amazon Bedrock).

Knowledge of Edge AI deployment.

Soft Skills:

Strong problem-solving and analytical thinking abilities.

Excellent communication and presentation skills.

Ability to work in a fast-paced, cross-functional environment.