AI & ML Engineer / Architect
AI & ML Engineer / Architect
Posted on :
21-08-2025
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1 Vacancy
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Job Description
AI & ML Engineer / Architect
Toronto ON (Hybrid)
Contract
Must Skills: AI & ML Engineer / Architect Azure & AWS Cloud Platforms Requirement
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.
Employment Type
Full-time
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