AI & ML Engineer Architect

2 weeks ago


Toronto, Canada VDart Inc Full time

Job Title: AI & ML Engineer / Architect Location: Toronto ON / Hybrid Duration: Contract Employment Type: Full-time Vacancy: 1 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 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. #J-18808-Ljbffr



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