AI & ML Engineer Architect

Job Title: AI & ML Engineer / Architect

Location: Toronto ON / Hybrid

Duration: 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:

• Bachelors or Masters 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.