AI Cloud Data Engineer: Build Scalable AI Platforms

Altera Corporation; Toronto; On-site; CAD 110,000 - 120,000; Full time

Job summary

Altera in Toronto, Ontario is seeking an AI Data Engineer to design, build, and deploy AI-powered data platforms and machine learning solutions. You will develop scalable data pipelines, launch ML and Generative AI models, and create intelligent systems including RAG and vector databases for knowledge discovery.

You will collaborate with software engineers, data scientists, and product teams to productionize AI models, implement governance, and optimize data flows across cloud-native

Qualifications

• Bachelor's or Master's degree in CS/AI/Software Eng or related field.
• Proficiency in Python and production software development.
• 1+ year experience in ML, DL, Generative AI and LLMs.
• Experience with PyTorch, TensorFlow or similar.
• Cloud platform experience (Azure, AWS, GCP).
• Knowledge of ETL/ELT, data warehousing, and distributed processing.
• Experience with MLOps, model deployment, CI/CD, containers, and Kubernetes.

Responsibilities

• Design, develop, and optimize AI-powered applications and data pipelines.
• Build and deploy ML, DL, and Generative AI solutions to solve business challenges.
• Develop algorithms and models to transform data into insights.
• Create RAG systems, vector databases, AI agents, and intelligent search tools.
• Conduct large-scale experiments, model evaluation, and benchmarking.
• Collaborate with engineers and product teams to productionize AI models.

Skills

Python

Machine learning

Deep learning

Generative AI

LLMs

PyTorch

TensorFlow

LangChain

Semantic Kernel

Cloud platforms

ETL/ELT pipelines

Data warehousing

CI/CD

Kubernetes

Education

Bachelors or Masters in CS/AI/Software Eng

Tools

Kubernetes

Docker

CI/CD pipelines

Vector databases

MLOps

Job description

Altera in Toronto, Ontario is seeking an AI Data Engineer to design, build, and deploy AI-powered data platforms and machine learning solutions. You will develop scalable data pipelines, launch ML and Generative AI models, and create intelligent systems including RAG and vector databases for knowledge discovery.

You will collaborate with software engineers, data scientists, and product teams to productionize AI models, implement governance, and optimize data flows across cloud-native