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New Grad Machine Learning Jobs in Alberta (NOW HIRING)

Proficient in Natural Language Processing (NLP), Natural Language Understanding (NLU), Machine Learning (ML), and Conversational AI. * Extensive experience with the new LLM (playbook) feature in ...

Physiotherapist

Grande Prairie, AB ยท On-site

CA$46 - CA$51/hr

Team culture that values collaboration, learning, and shared success. * Centralized support so you can focus on care, not administration. * Robust onboarding and supervised new grad program.

Champion privacy requirements across new business initiatives from concept through to operation ... Assess the privacy implications of AI and machine learning systems at every stage, from evaluating ...

Manager AI

Calgary, AB ยท On-site +1

Deep technical knowledge and 3+ years of experience in deploying AI and machine learning solutions, with a focus on telecommunication applications * Business Development: Experience developing new ...

Manager AI

Edmonton, AB ยท On-site +1

Deep technical knowledge and 3+ years of experience in deploying AI and machine learning solutions, with a focus on telecommunication applications * Business Development: Experience developing new ...

I, and machine learning to drive successful strategies around customer messaging, delivery, and ... new interventions applied for re-use by other team members. They will also contribute to the ...

Implement and operationalize machine learning models (training, deployment, monitoring) * Work with ... Come join a growing organization helping clients take a new, lean and value-driven approach to data ...

Collaborating with cross-functional teams to define, design, and implement new features. * Ensuring ... Experience with machine learning. * Experience with 3D Rendering. * Experience with embedded SW ...

Create and maintain new cutting-edge complex geostatistical algorithms in a cloud infrastructure ... AI/ML work experience and machine Learning technologies (Python, TensorFlow etc.) * Experience in ...

Staff Data Scientist

Calgary, AB ยท Hybrid

CA$192K - CA$230K/yr

Skills & Qualifications * 8+ years of experience in Data Science, Machine Learning, or a highly ... This is a new role. What you will find here: Compensation is one of the main components of Clio ...

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New Grad Machine Learning information

What are some typical challenges new graduates might face when starting out in a machine learning role, and how can they overcome them?

New grad machine learning engineers often encounter challenges such as bridging the gap between academic knowledge and practical, production-level projects. Adapting to real-world data issues, collaborating with cross-functional teams, and understanding scalable deployment can be daunting at first. To overcome these, it's helpful to seek mentorship, proactively ask questions, and dedicate time to learning best practices in code versioning, model evaluation, and team communication. Engaging in code reviews and participating in team discussions can also accelerate the learning curve and foster professional growth.

What are the key skills and qualifications needed to thrive as a New Grad Machine Learning Engineer, and why are they important?

To thrive as a New Grad Machine Learning Engineer, you need a solid foundation in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch, version control systems like Git, and coursework or certification in data science are highly beneficial. Strong problem-solving abilities, curiosity, and effective communication skills help you collaborate and convey complex technical concepts to diverse teams. These skills and qualities are essential for developing innovative models, ensuring project success, and integrating seamlessly into fast-paced tech environments.

What is the difference between New Grad Machine Learning vs Data Scientist?

AspectNew Grad Machine LearningData Scientist
Required CredentialsBachelor's in CS, Data Science, or related field; some internshipsBachelor's or Master's in CS, Statistics, or related; some experience
Work EnvironmentEntry-level, team-focused, research and developmentData analysis, modeling, cross-functional collaboration
Employer & Industry UsageTech companies, startups, research labsTech, finance, healthcare, consulting firms

New Grad Machine Learning roles typically focus on foundational skills, internships, and entry-level tasks, while Data Scientist positions often require more experience in data analysis and statistical modeling. Both roles are common in tech industries, but Data Scientists usually handle broader data analysis responsibilities.

What are 'New Grad Machine Learning' roles?

New Grad Machine Learning roles are entry-level positions designed for recent graduates who have studied machine learning, artificial intelligence, data science, or related fields. These positions typically involve working with experienced data scientists and engineers to develop, implement, and improve machine learning models and algorithms. New grads in these roles often contribute to projects involving data preprocessing, model training, evaluation, and deployment. The goal is to help new graduates gain hands-on experience and grow their skills in a real-world setting while contributing to the organization's AI initiatives.
What are popular job titles related to New Grad Machine Learning jobs in Alberta? For New Grad Machine Learning jobs in Alberta, the most frequently searched job titles are:
What job categories do people searching New Grad Machine Learning jobs in Alberta look for? The top searched job categories for New Grad Machine Learning jobs in Alberta are:
Infographic showing various New Grad Machine Learning job openings in Alberta as of May 2026, with employment types broken down into 88% Full Time, 9% Part Time, and 3% Summer. Highlights an 80% In-person, 11% Hybrid, and 9% Remote job distribution.

Product Manager - Computer Vision & Data Products (Remote, Canada)

Zesty.ai

Calgary, AB โ€ข Remote

Other

Posted 23 days ago


Job description

Product Manager - Computer Vision & Data Products (Canada, Remote)

Events in recent years have made us all too familiar with the havoc that natural disasters can wreak, and the increasing frequency and intensity with which they are occurring. Despite record levels of losses, conventional methods of identifying and managing risk continue to provide an incomplete solution to these threats.

ZestyAI uses novel data gathering and machine learning approaches to produce higher quality information about the risks to property from catastrophes like severe convective storms and wildfires. While AI alone may not be able to thwart these disasters, it can help communities around the world become more prepared for them, and ultimately that will lead to better outcomes for business and society.

As a Product Manager - Computer Vision and Data Products, you are an analytical thinker and passionate about working with complex data. You are a pacesetter who wants to deliver innovative products; you are organized, self-directed, committed to innovation, and possess outstanding EQ and communication skills. You will be crucial in operating the ZestyAI platform and delivering property characteristics and risk information to our clients. You thrive in a collaborative and creative environment that moves fast and are comfortable learning new skills, leveraging the latest AI tools, and working with unfamiliar technologies.

The Opportunity:

  • Own the product and feature development lifecycle from inception to launch in the field of machine learning, large language models, and computer vision
  • Build the analytics and model development roadmap of data and risk solutions by researching and analyzing various sources of information
  • Discover and translate data into tractable data science questions and engineering specifications to guide strategic decision making
  • Work closely with data scientists and software engineers as a key member of the product development team
  • Act as the model owner and subject matter expert when interfacing with Regulators and Customers
  • Iterate rapidly on everything; all of the above happens in a fast-paced business-driven environment that you must be comfortable with
  • Work with our customers to understand complex workflows and pain points and find solutions to the problems

What You Bring to the ZestyAI Team:

  • 3-6 years of work experience in analytics, data science, financial modeling, risk modeling, climate modeling or other relevant field

ย  Including 1-2 years of Product Management experience, working with data products or model-based features such as actuarial risk model, climate risk model, credit risk model, search model, etc.

  • Bachelor's or Master's in a quantitative field such as Engineering, Sciences, Commerce
  • Outstanding communication skills, well-versed in building executive-style presentations
  • Ability to manage multiple/competing priorities and deliver on time
  • Comfortable leveraging AI tools to automate and accelerate everyday work (i.e. Claude Cowork)
  • Proficient in SQL, Excel, Python
  • Must be legally eligible to work in Canada

Nice to Have:

  • Exposure to insurance, real estate, and risk modeling
  • Experience working with computer vision models

Why ZestyAI:

  • Be a part of a well-funded growth-stage start-up
  • Work with a high-performance product team and cutting-edge development team
  • Market competitive comp and equity incentives to give you a stake in our future
  • Remote-first policy
  • Flexible Time Off
  • Comprehensive benefits package
  • Home office setup stipend
  • Annual Learning and Development allowance
  • An upbeat and collaborative work culture
  • Company-sponsored outings and offsites