Cloud/AI Platform Engineer
CA$75K - CA$141K/yr
New Graduate / Entry Level About the Role Are you looking to make your mark in AI? Are you an AI ... Preferred * Exposure to machine learning, generative AI, or large language models through ...
New
Cloud/AI Platform Engineer
CA$75K - CA$141K/yr
New Graduate / Entry Level About the Role Are you looking to make your mark in AI? Are you an AI ... Preferred * Exposure to machine learning, generative AI, or large language models through ...
New
Cloud/AI Platform Engineer
CA$75K - CA$141K/yr
New Graduate / Entry Level About the Role Are you looking to make your mark in AI? Are you an AI ... Preferred * Exposure to machine learning, generative AI, or large language models through ...
New
Cloud/AI Platform Engineer
CA$75K - CA$141K/yr
New Graduate / Entry Level About the Role Are you looking to make your mark in AI? Are you an AI ... Preferred * Exposure to machine learning, generative AI, or large language models through ...
New
Utilize Generative AI and AI-assisted development workflows to rapidly build and deploy lightweight ... Level: Entry-level to early-career (0-2 years of professional experience), backed by a strong ...
Utilize Generative AI and AI-assisted development workflows to rapidly build and deploy lightweight ... Level: Entry-level to early-career (0-2 years of professional experience), backed by a strong ...
... generative AI computing including gigafactories, bio/ag tech, data centers and distributed ... Assign and guide tasks to develop entry level professionals and/or interns. Coordinates with ...
... generative AI computing including gigafactories, bio/ag tech, data centers and distributed ... Assign and guide tasks to develop entry level professionals and/or interns. Coordinates with ...
Generative Ai Entry Level information
What does a generative AI entry level professional do?
A Generative AI Entry Level professional assists in developing, training, and testing artificial intelligence models that can create new content, such as text, images, or audio. They often work with large datasets, help fine-tune AI models, and support more senior engineers in implementing machine learning algorithms. Typical tasks include data preprocessing, running experiments, evaluating model outputs, and documenting results. This role is ideal for those new to the AI field and looking to gain hands-on experience in generative technologies.
What types of projects do generative AI entry level professionals typically work on, and how do they contribute to larger team goals?
As an entry-level professional in Generative AI, you may work on tasks such as data preprocessing, model training, and evaluating the performance of generative models. You'll often collaborate with researchers, data scientists, and software engineers to support more complex projects, such as developing new text or image generation tools. Your contributions help ensure data quality and model accuracy, and you may also assist in documenting results and preparing presentations. This collaborative environment allows you to learn from experienced colleagues while building foundational skills for future growth.
What are the key skills and qualifications needed to thrive as a generative AI entry level professional, and why are they important?
To thrive as a Generative AI Entry Level professional, you need a basic understanding of machine learning concepts, Python programming, and a relevant degree such as computer science or data science. Familiarity with tools like TensorFlow, PyTorch, and version control systems, as well as exposure to cloud platforms, is typically expected. Strong problem-solving abilities, eagerness to learn, and the ability to communicate technical information clearly help individuals stand out in this role. These skills and qualities are crucial to effectively contribute to AI projects, adapt to rapidly evolving technologies, and collaborate within technical teams.
Can I get a generative AI entry level job with no experience?
Entry-level generative AI jobs often require some foundational knowledge of machine learning, programming (such as Python), and familiarity with AI frameworks like TensorFlow or PyTorch. While prior experience is not always mandatory, demonstrating relevant skills through projects, certifications, or coursework can improve chances of securing such roles.
How to start a career in Generative AI?
To start a career in Generative AI, develop a strong foundation in programming languages like Python, learn machine learning and deep learning concepts, and gain experience with frameworks such as TensorFlow or PyTorch. Building a portfolio of projects and obtaining certifications in AI or data science can also improve job prospects in this field.
What are the most commonly searched types of Generative Ai jobs in Ontario?
The most popular types of Generative Ai jobs in Ontario are:
What are popular job titles related to Generative Ai Entry Level jobs in Ontario?
For Generative Ai Entry Level jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Generative Ai Entry Level jobs in Ontario look for?
The top searched job categories for Generative Ai Entry Level jobs in Ontario are:
What cities in Ontario are hiring for Generative Ai Entry Level jobs?
Cities in Ontario with the most Generative Ai Entry Level job openings:
CA$75K - CA$141K/yr
Full-time
Medical, Life, Retirement
Posted 2 days ago
New
Job description
Application Deadline:
Address:
4100 Gordon Baker RoadJob Family Group:
AI Platform Engineer (New Graduate)
Location: Toronto, ON (Hybrid)
Job Type: Full-Time
Experience Level: New Graduate / Entry Level
Are you looking to make your mark in AI? Are you an AI thought leader?
We are seeking a passionate and curious AI Platform Engineer (New Graduate) to help build, operate, and scale the next generation of AI infrastructure and platforms. This role is ideal for recent university graduates who are excited about cloud computing, artificial intelligence, machine learning platforms, developer tools, and large-scale distributed systems.
It's an opportunity that can make you an AI leader at BMO.
As an AI Platform Engineer, you will work with experienced engineers and data scientists to create reliable, secure, and scalable platforms that enable AI applications and machine learning workloads across the organization.
This is an opportunity to learn from industry experts while contributing to cutting-edge AI solutions that drive real business impact.
What You'll Do- Build and maintain cloud-native platform services that support AI and machine learning workloads.
- Design and implement automation solutions using Infrastructure as Code (IaC).
- Develop tools, APIs, and services that improve developer productivity and platform reliability.
- Assist in deploying, monitoring, and scaling AI models and machine learning pipelines.
- Collaborate with software engineers, data scientists, and product teams to operationalize AI solutions.
- Monitor platform health and troubleshoot performance, reliability, and scalability issues.
- Contribute to CI/CD pipelines and DevOps practices for AI and platform engineering teams.
- Participate in system design discussions and code reviews.
- Learn and apply best practices around security, observability, governance, and cloud architecture.
- Bachelor's or Master's degree in Computer Science, Software Engineering, Computer Engineering, Data Science, or a related technical field completed within the last 12 months.
- Strong programming skills in one or more languages such as:
- Python
- Go
- Java
- C#
- Understanding of software engineering fundamentals, including:
- Data structures and algorithms
- Object-oriented design
- REST APIs
- Version control (Git)
- Familiarity with Linux operating systems and scripting.
- Knowledge of cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform.
- Strong problem-solving and analytical skills.
- Excellent communication and collaboration abilities.
- Exposure to machine learning, generative AI, or large language models through coursework, projects, or internships.
- Experience with containers and orchestration technologies such as Docker and Kubernetes.
- Familiarity with MLOps concepts and tools.
- Understanding of CI/CD practices and automation.
- Experience with infrastructure-as-code tools such as Terraform.
- Contributions to open-source projects, hackathons, research, or personal technical projects.
- AI platform architecture and operations at scale.
- Cloud-native application design and deployment.
- MLOps, LLMOps, and AI governance best practices.
- Platform engineering and site reliability engineering principles.
- Secure software development and enterprise cloud operations.
We're looking for individuals who:
- Are naturally curious and eager to learn.
- Enjoy solving challenging technical problems.
- Thrive in collaborative environments.
- Take ownership of their work and seek continuous improvement.
- Are excited about the future of AI and cloud technologies.
- Critical Thinking
- Building and managing relationships.
- Adaptability.
- Verbal & written communication skills.
- Collaboration & team skills.
- Analytical and problem solving skills.
- Data driven decision making.
Nice-to-Have Technical Skills
- Azure AI Services, Azure Machine Learning, or Azure Kubernetes Service (AKS)
- Kubernetes, Docker, Helm
- Terraform or Bicep
- GitHub Actions or Azure DevOps
- Prometheus, Grafana, OpenTelemetry
- PostgreSQL, Redis, or NoSQL databases
- LangChain, Semantic Kernel, or other AI frameworks
- Retrieval-Augmented Generation (RAG) concepts
Salary:
Pay Type:
The above represents BMO Financial Group's pay range and type.
Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group's expected target for the first year in this position.
BMO Financial Group's total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit:https://jobs.bmo.com/global/en/Total-Rewards
About Us
At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.
As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one - for yourself and our customers. We'll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we'll help you gain valuable experience, and broaden your skillset.
To find out more visit us at https://jobs.bmo.com/ca/en.
BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other's differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.
Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.