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Generative AI Engineer – Python & Cloud
Canada
· Full-time
·
Associate
Job Description:
Skills
• AIML Generative AI (LLM Models), NLP, Predictive Analysis
Tech Stack
• Python, TensorFlow, Langchain
• Cloud AI Services: AWS SageMaker, Azure ML
• Microservices Architecture
Language
• Python
Databases
• Postgres, RDS
• NoSQL DB: MongoDB, Cosmos, DynamoDB
Data Models
• ETL Processing
• SQL knowledge
• How to use Data Lakes
• CI/CD & DevOps
• DevOps pipeline set-up with Ansible
• Infrastructure as Code (IaC): Terraform, AWS CloudFormation
• Cloud DE
Job Description
• Must have strong working knowledge in AI Cloud projects, delivering AI Applications using Generative AI LLM models. Azure is preferred. Hands-on experience in working on data ingestion, transformation, aggregation, data lineage, data quality, and building AI LLM models on top of it. Must be strong in Python, PySpark language.
• Hands-on developer who is proficient in Python and SQL. Experience with Azure services like OpenSearch, semantic models, vectorization, NLP processing, IAM, monitoring, and logging mechanisms.
• Deployment knowledge on the cloud. Integrate CI/CD pipeline to build artifacts and deploy changes to higher environments.
• Scheduling frameworks in batch applications, API Microservice architectures.
• Excellent communication skills, with the ability to work collaboratively with other teams.
Skills
• AIML Generative AI (LLM Models), NLP, Predictive Analysis
Tech Stack
• Python, TensorFlow, Langchain
• Cloud AI Services: AWS SageMaker, Azure ML
• Microservices Architecture
Language
• Python
Databases
• Postgres, RDS
• NoSQL DB: MongoDB, Cosmos, DynamoDB
Data Models
• ETL Processing
• SQL knowledge
• How to use Data Lakes
• CI/CD & DevOps
• DevOps pipeline set-up with Ansible
• Infrastructure as Code (IaC): Terraform, AWS CloudFormation
• Cloud DE
Job Description
• Must have strong working knowledge in AI Cloud projects, delivering AI Applications using Generative AI LLM models. Azure is preferred. Hands-on experience in working on data ingestion, transformation, aggregation, data lineage, data quality, and building AI LLM models on top of it. Must be strong in Python, PySpark language.
• Hands-on developer who is proficient in Python and SQL. Experience with Azure services like OpenSearch, semantic models, vectorization, NLP processing, IAM, monitoring, and logging mechanisms.
• Deployment knowledge on the cloud. Integrate CI/CD pipeline to build artifacts and deploy changes to higher environments.
• Scheduling frameworks in batch applications, API Microservice architectures.
• Excellent communication skills, with the ability to work collaboratively with other teams.
Key Skills
Ranked by relevance
ai
cloud
python
cicd
sql
aws
infrastructure as code
microservices
tensorflow
terraform
devops
nosql
etl
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- Posted
- Sep 17, 2025
- Type
- Full-time
- Level
- Associate
- Location
- Toronto
Industries
IT Services
IT Consulting
Categories
Information Technology
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