toronto, on remote devops engineer Jobs – 132 Openings This Week

Generative AI Software Engineer
Apertera —Toronto, ON
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
- Dental care
- Vision care
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10h
Data Engineer (Team Lead)
Apertera —Toronto, ON
- Full-time
- Hybrid work
- DevOps
- Databases
- SQL
- Dental care
- Vision care
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16h
Senior Software Engineer
Apertera —Toronto, ON
- Full-time
- Hybrid work
- Computer Science
- DevOps
- Engineering
- Dental care
- Vision care
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16h
VP of Engineering
Bankjoy —Toronto, ON
- Full-time
- Remote
- DevOps
- AI
- Communication skills
- Dental care
- Vision care
8d
IT Infrastructure Manager, Cloud Platform
Confluence Technologies —Toronto, ON
- Full-time
- Hybrid work
- Azure
- DevOps
- AWS
- Paid time off
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13d
Senior D365 Marketing Solution Architect: Journeys and Data
Cognizant —Mississauga, ON
- $129,000–$150,000 a year
- Full-time
- Remote
- Azure
- Sales
- DevOps
Senior Java Developer (GTA, ON, Canada)
Agilno —Toronto, ON
- $3 an hour
- Full-time
- Hybrid work
- Azure
- DevOps
- Java
- Paid time off
- Flexible schedule
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Senior Data Developer
Priceline.com —Toronto, ON
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
- Disability insurance
- Dental care
Platform Engineering Manager
WCG International Consultants Ltd. —Toronto, ON
- $120,000–$130,000 a year
- Full-time
- Remote
- Azure
- Computer Science
- DevOps
- Dental care
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Director of Engineering
Intuition Machines, Inc. —Toronto, ON
- Contract
- Remote
- DevOps
- Machine learning
- Python
- Flexible schedule
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Senior Full Stack Developer
CoLab Software —Toronto, ON
- Full-time
- Remote
- DevOps
- System design
- Databases
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DevOps and Cloud Manager
The Land Administration Company Inc —Canada
- $130,000–$155,000 a year
- Full-time
- DevOps
- AWS
- Continuous improvement
- Disability insurance
- Dental care
Lead Platform Reliability Engineer
Manulife —Toronto, ON
- $127,330–$236,470 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
- Disability insurance
- Dental care
13h

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Generative AI Software Engineer

Apertera
Toronto, ON

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Job details

Full-time
10 hours ago

Qualifications

TensorFlow
Azure
Law
Computer Science
PyTorch
DevOps
Google Cloud Platform
Research
Master's degree
Pandas
AWS
Bachelor's
Machine learning
Continuous improvement
Natural language processing
Software development
APIs
AI
Communication skills
Python
Time management

Full job description

About Apertera

Apertera is leading the evolution of language solutions for high-stakes content. We partner with enterprises as an extension of their teams, combining professional expertise with Adaptive AI technology that is continuously refined by client context.

For more than twenty years, Apertera has set the bar for legal, financial, and regulatory translation, serving the most rigorous buyers, including over 75% of major national Canadian law firms, all major banks, and leading securities regulators.
Apertera is Canadian-owned, ISO 17100 and SOC 2 certified.

Our core values:

Innovation
Dedication
Fanatical commitment to quality and service
Resourcefulness
Collaboration

About the Role
We are looking for a Generative AI Engineer to develop our next-generation intelligent translation and translation-related service engine, using Generative AI (GenAI) and Large Language Model (LLM) technologies. You will report to the team lead on GenAI, develop and implement state-of-the-art algorithms by fast prototyping, and collaborate with the software team to deploy models. We expect our Generative AI Engineer to stay current with the technological cutting edge and build applications of LLM and GenAI to machine translation with best industry practices, as well as having solid background and hands-on experience with deep learning, machine learning, natural language processing, and big data.

Responsibilities

Research and implement state-of-the-art LLM techniques including continued pre-training, instruction fine-tuning, preference alignment, and LLM deployment while also focusing on prompt engineering and GenAI more broadly.
Work closely with machine learning engineers and data scientists to design, build, and test models.
Contribute to technological innovations by staying current to the cutting-edge achievements of GenAI and LLM from industry and academia.
Develop efficient and scalable algorithms for training and inference of generative models, leveraging deep learning frameworks such as TensorFlow or PyTorch and optimizing performance on diverse hardware platforms.
Train and evaluate generative models using appropriate metrics and benchmarks, fine-tuning model parameters, architectures, and hyperparameters to optimize performance, stability, and generalization.
Work closely with software and DevOps engineers to deploy GenAI models.
Document code, algorithms, and experimental results, following best practices for reproducibility, version control, and software engineering, and contribute to internal knowledge sharing and continuous improvement initiatives.

Requirements

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or related field.
2+ years of industry experience developing GenAI and LLM applications is preferred.
3+ years industry Software Development experience.
Proficiency in Python programming and software development practices, with experience in building and maintaining scalable, production-grade software systems.
Working knowledge and project-based record of all of the following: prompt tuning, RAG, ICL.
Working knowledge and project-based record of at least one of the following is a plus: continued pre-training, instruction fine-tuning, Agent.
Strong problem-solving skills, attention to detail, and the ability to work independently and collaboratively in a fast-paced environment.
Hands-on experience with Huggingface APIs or Amazon Bedrock.
Expert skills of Python, including PyTorch, TensorFlow, Pandas, etc.
Experience with cloud platforms like AWS, GCP, or Azure
Self-driven, self-motivated with excellent time management skills
Excellent communication skills, with the ability to convey complex technical concepts clearly and effectively to both technical and non-technical stakeholders.
Familiarity with GPU programming and optimization techniques for accelerating deep learning computations.
Ability to adapt to shifting priorities without compromising deadlines and momentum.
Prior experience in generative AI research, projects, or internships, with contributions to open-source projects or publications in relevant conferences or journals.

Benefits & Perks You’ll Love:

Comprehensive Health Insurance: Including vision, dental, complementary therapies, and support for your overall well-being.
Your Birthday Off: We celebrate your special day!
6 Personal/Sick Days: Take the time you need for your health or life’s unexpected moments.
Work-Ready Equipment: Get the tools you need to succeed, provided upon request.
Hybrid Work Model: Enjoy the best of both worlds with a mix of in-office collaboration and remote flexibility.
Learning & Growth Opportunities: Training and resources tailored to your role and department.
Supportive & Collaborative Team Culture: Work alongside team members who genuinely have your back
Team Recognition & Action Awards: Celebrate wins and contributions in meaningful ways.
Employee Referral Program: Earn rewards for bringing amazing talent to our team.

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remote devops engineer jobs in toronto, on

Generative AI Software Engineer

Data Engineer (Team Lead)

Senior Software Engineer

VP of Engineering

IT Infrastructure Manager, Cloud Platform

Senior D365 Marketing Solution Architect: Journeys and Data

Senior Java Developer (GTA, ON, Canada)

Senior Data Developer

Platform Engineering Manager

Director of Engineering

Senior Full Stack Developer

DevOps and Cloud Manager

Lead Platform Reliability Engineer

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