Job Specifications
Job Title: AI & ML Engineer – Azure & AWS Cloud Platforms
Location: Toronto / Hybrid
Job Summary
We are seeking a highly skilled hands-on AI & ML Engineer with deep technical expertise in designing, developing, and deploying machine learning solutions on Microsoft Azure and Amazon Web Services (AWS). The ideal candidate will be highly technical, with proven experience in AWS Cloud Development Kit (CDK), modern MLOps practices, and production-grade AI/ML solution delivery.
Key Responsibilities
AI/ML Solution Design & Development
Design, develop, and optimize machine learning and AI models (supervised, unsupervised, and deep learning).
Perform data preprocessing, feature engineering, and exploratory data analysis (EDA).
Select and implement appropriate algorithms, frameworks, and architectures to meet performance and scalability needs.
Ensure reproducibility, performance tuning, and operational readiness of ML models.
Cloud Architecture & Integration
Architect scalable, secure AI/ML solutions using:
Azure: Machine Learning, Cognitive Services, Databricks, Synapse
AWS: SageMaker, Rekognition, Comprehend, Bedrock
Hands-on experience with AWS CDK is mandatory — design, build, and manage infrastructure-as-code for ML pipelines and applications.
Integrate AI/ML workloads with data lakes, APIs, and event-driven architectures.
Ensure cloud solutions comply with best practices for scalability, cost optimization, and security.
MLOps & Automation
Implement and maintain CI/CD pipelines for ML lifecycle management (training, testing, and deployment).
Use Azure DevOps, GitHub Actions, AWS CodePipeline, and AWS CDK/Terraform/CloudFormation for automation.
Automate model deployment and monitoring processes.
Continuously monitor model drift and performance; retrain and redeploy models as needed.
Collaboration & Stakeholder Engagement
Work closely with data engineers, data scientists, DevOps engineers, and architects to ensure end-to-end delivery of AI/ML solutions.
Communicate complex AI/ML concepts clearly to both technical and non-technical stakeholders.
Security, Compliance & Governance
Implement data privacy, security, and compliance controls (HIPAA, GDPR, SOC 2).
Apply Responsible AI principles for transparency, fairness, and explainability.
Required Skills & Qualifications
Bachelor’s or Master’s degree in Computer Science, Data Science, or related field.
5+ years of hands-on experience in AI/ML solution design, development, and deployment.
3+ years of experience working across Azure and AWS AI/ML services.
Mandatory: Strong hands-on experience with AWS CDK for infrastructure and automation.
Proficiency in Python, R, and ML frameworks such as TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers.
Experience with containerization and orchestration (Docker, Kubernetes – AKS/EKS).
Familiarity with big data frameworks (Spark, Databricks) and cloud-native data tools (Azure Data Lake, AWS S3, Synapse, Redshift, Kinesis, Event Hubs).
Preferred / Nice-to-Have
Certifications:
Microsoft Certified: Azure AI Engineer Associate / Azure Solutions Architect Expert
AWS Certified Machine Learning – Specialty / AWS Solutions Architect – Professional
Exposure to Generative AI, LLMs (OpenAI, Azure OpenAI, Amazon Bedrock).
Knowledge of Edge AI and real-time inference deployment.
Soft Skills
Strong analytical thinking, problem-solving, and technical ownership abilities.
Excellent communication and collaboration skills.
Proven ability to deliver high-quality solutions in a fast-paced, cross-functional environment.
About the Company
Enterprise Solutions, Inc. is a technology-intensive services company. We develop and deliver software and engineering solutions to our partners; we work relentlessly to keep our clients happy, and we measure our business success with the trust we earn from them.
Enterprise Solutions offers implementation services for VMS, MSP, ERP, cloud, analytics and digital transformation. We are a certified Minority Business Enterprise (MBE).
We have extensive experience in end-to-end software development using a wide array of techno...
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