AI & ML Engineer

5 days ago

Toronto On, Canada KTek Resourcing Full time

AI & ML Engineer with strong experience building and deploying cloud-native ML solutions across Azure and AWS . This role requires deep technical expertise, production-level engineering skills, and mandatory hands-on experience with AWS CDK . Key Responsibilities: Design and develop ML/AI models (supervised, unsupervised, deep learning). Build scalable AI/ML architectures using Azure ML, Cognitive Services, Databricks, AWS SageMaker, Rekognition, Comprehend, etc. Develop and automate end-to-end MLOps pipelines using Azure DevOps, GitHub Actions, AWS CodePipeline. Deploy cloud-native ML workloads using Docker, Kubernetes (AKS/EKS). Integrate ML pipelines with data lakes, warehouses, and APIs. Ensure architecture follows best practices for security, reliability, and compliance. Required Skills: 5+ years in AI/ML engineering (model development, deployment). 3+ years hands-on with Azure + AWS ML services. Mandatory hands-on AWS CDK experience. Strong Python, ML frameworks (TensorFlow, PyTorch, scikit-learn). Experience with Spark/Databricks, CI/CD, IaC (Terraform/CloudFormation). Expertise in containerization and orchestration (Docker, AKS/EKS).

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