Columbus Devops & cloud systems Jobs – 116 Openings This Week

AI Engineer
Yuktara Technologies —Toronto, ON
- $80–$90 an hour
- Contract
- Azure
- Computer Science
- DevOps
Quick apply
Full Stack .NET Software Engineer
B3 Systems —Toronto, ON
- Full-time
- Azure
- Computer Science
- DevOps
Quick apply
Full Stack Developer - DevOps & Cloud Systems
BrightOrder Inc. —Canada
- $95,000–$115,000 a year
- Full-time
- Remote
- Oracle
- DevOps
- Databases
- Dental care
- Vision care
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Specialist-Sr Network Infra
Peel Regional Police —Brampton, ON
Applicants in consideration for hire shall be subject to a thorough background investigation that includes, but is not limited to, police checks with local,…
$74,183–$124,990 a year
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Azure DevOps Specialist
Financial Services Regulatory Authority of Ontario (FSRA) —Toronto, ON
Postsecondary degree in Computer Science, Information Technology, or a related field or an equivalent combination of education and professional experience.
$1,852.71–$2,314.51 a month

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AI Engineer

Yuktara Technologies
Toronto, ON

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Job details

Contract

Skills

TensorFlow
Azure
Computer Science
Kubernetes
PyTorch
DevOps
Spark
NoSQL
Git
MongoDB
Master's degree
Databases
SQL
AWS
Docker
Bachelor's
Machine learning
JavaScript
PostgreSQL
REST
Natural language processing
GitHub
APIs
Financial services
Kafka
Flask
AI
Graph databases
Python
Data Science

Full job description

We are seeking an experienced AI Engineer to design, build, and deploy scalable artificial intelligence solutions that solve real-world business problems. The ideal candidate has strong software engineering skills combined with expertise in machine learning, generative AI, and cloud technologies. You will work closely with product owners, data engineers, solution architects, and business stakeholders to deliver production-ready AI applications.

Key Responsibilities

Design and develop AI/ML solutions for enterprise applications.
Build and deploy Generative AI applications using Large Language Models (LLMs).
Develop AI agents, chatbots, and intelligent automation solutions.
Create Retrieval-Augmented Generation (RAG) pipelines using vector databases.
Fine-tune, evaluate, and optimize machine learning and language models.
Develop REST APIs and microservices for AI applications.
Integrate AI solutions with enterprise systems and cloud platforms.
Build scalable data pipelines for AI model training and inference.
Monitor model performance, accuracy, latency, and cost.
Follow MLOps best practices for deployment, versioning, monitoring, and CI/CD.
Ensure AI solutions meet security, privacy, and governance standards.

Required Skills

Strong proficiency in Python
LangChain, LlamaIndex, or similar AI frameworks
OpenAI, Claude, Gemini, or open-source LLMs
PyTorch, TensorFlow, or Scikit-learn
Prompt engineering and AI workflow design
Vector databases: Pinecone, Chroma, Milvus, FAISS
RAG, AI agents, embeddings, semantic search
FastAPI or Flask
SQL and NoSQL databases
Git, Docker, Kubernetes
Azure, AWS, or Google Cloud
CI/CD and MLOps

Nice-to-Have Skills

Multi-agent AI frameworks (CrewAI, AutoGen, LangGraph)
AI observability and evaluation tools
Graph databases and knowledge graphs
Snowflake integration
Apache Spark
Kafka
NLP and computer vision
Financial services or healthcare domain experience

Qualifications

Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field.
8+ years of software engineering and 2+ years of AI development experience.
Experience delivering AI applications into production.

Preferred Certifications

Microsoft Azure AI Engineer
AWS Machine Learning Specialty
Google Cloud Professional Machine Learning Engineer

Tech Stack

Languages: Python, SQL, JavaScript
AI/ML: PyTorch, TensorFlow, Scikit-learn
Generative AI: OpenAI, Claude, Gemini, LangChain, LlamaIndex
Vector DB: Pinecone, Chroma, FAISS, Milvus
Cloud: Azure, AWS, Google Cloud
Data: Snowflake, PostgreSQL, MongoDB
DevOps: Docker, Kubernetes, GitHub Actions
APIs: FastAPI, Flask

Pay: $80.00-$90.00 per hour

Work Location: In person

Quick apply

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