Generative AI Engineer – Python & Cloud

Astra North Infoteck Inc.; Toronto; On-site; CAD 90,000 - 120,000; Full time

Job summary

A tech company in Toronto is seeking a developer experienced in AI Cloud projects to deliver applications using Generative AI LLM models. The ideal candidate will have strong expertise in Python and SQL, along with experience in Azure services and deployment on the cloud. Excellent communication and collaboration skills are essential. This role offers the opportunity to work on innovative AI solutions.

Qualifications

• Strong working knowledge in AI Cloud projects and Generative AI LLM models.
• Proficient in Python and SQL.
• Experience with Azure services and deployment knowledge on the cloud.

Responsibilities

• Deliver AI applications using LLM models.
• Work on data ingestion, transformation, and aggregation.
• Integrate CI/CD pipeline for deployment.

Skills

AIML Generative AI (LLM Models)

NLP

Predictive Analysis

Python

SQL

DevOps

Tools

TensorFlow

Langchain

AWS SageMaker

Azure ML

Ansible

Terraform

AWS CloudFormation

Job description

Job Description : Skills

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.