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Gen Ai Developer Jobs in Georgetown, ON (NOW HIRING)

Gen AI and Agents for drafting documentation, accelerating analysis, and augmenting planning ... Work management platforms (Azure DevOps, Jira) for backlog management, sprint planning, and ...

Performance Architect, AI HW

Toronto, ON · On-site +1

CA$100K - CA$500K/yr

Deeply analytical engineer with strong intuition for AI workload behavior and system-level ... guide next-gen architecture. * Develop and maintain performance models, simulators, and micro ...

... Gen AI-forward approaches, and integrate them into our existing, orchestrated multi-agent systems to enable complex autonomous workflows. * Collaborate closely with Product, Engineering, and ...

QA Engineer (AI & Manual Testing) About Pillway: Pillway isn't just a pharmacy, we are a leading ... In AI & Next-Gen QA, you will actively innovate by leveraging AI/ML tools for test case ...

... gen industrial automation. Our projects are diverse, impactful, and at the forefront of ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Working knowledge of gen AI/LLM tools as it relates to UX/UI workflows * Solid working knowledge of HTML/CSS fundamentals, enough to communicate with developers fluently and understand implementation ...

SQL Database Administrator (DBA)

Mississauga, ON · On-site

CA$29.01 - CA$53.05/hr

... Gen AI solutions, and tech expertise from around the world. For our people, it brings an ... SQL programming and performance tuning * Experience in writing T-SQL scripts and development of ...

Showing results 41-60

Gen Ai Developer information

What is a Gen AI developer?

A Gen AI Developer is a professional who designs, builds, and deploys applications using generative artificial intelligence models, such as large language models (LLMs) or image generators. They work with AI frameworks and APIs to create solutions that can generate text, images, code, or other content based on user input. Gen AI Developers often need skills in programming, machine learning, and prompt engineering, and they play a key role in building innovative AI-powered applications across various industries.

What are the key skills and qualifications needed to thrive as a Gen AI developer, and why are they important?

To thrive as a Gen AI Developer, you need a strong background in computer science, machine learning, and deep learning frameworks, often supported by a degree in a related field. Proficiency with tools such as Python, TensorFlow or PyTorch, and experience with cloud platforms like AWS or Azure, as well as relevant certifications, are commonly required. Critical thinking, creativity, and effective communication are essential soft skills for solving complex problems and collaborating with cross-functional teams. These competencies are vital for developing innovative AI solutions that drive business value and maintain technological competitiveness.

What are some common challenges Gen AI developers face when deploying models into production environments?

Gen AI Developers often encounter challenges such as ensuring model scalability, maintaining data privacy, and managing high computational requirements when deploying generative AI models. Integrating models with existing systems and monitoring for model drift or bias are also critical concerns. Close collaboration with DevOps, data engineering, and security teams is essential to build robust deployment pipelines and maintain reliable performance in real-world applications.

What is the difference between Gen Ai Developer vs Machine Learning Engineer?

AspectGen Ai DeveloperMachine Learning Engineer
Required CredentialsBachelor's or higher in CS, AI, or related fields; experience with AI frameworksBachelor's or higher in CS, Data Science, or related fields; strong programming skills
Work EnvironmentTech companies, AI startups, research labs focusing on generative AITech firms, data-driven companies, research institutions working on ML models
Employer & Industry UsagePrimarily in AI development, focusing on generative models and AI applicationsBroader industry use, including predictive modeling, data analysis, and automation

While both roles involve AI and machine learning skills, Gen AI Developers specialize in creating generative AI models like chatbots and content generators, whereas Machine Learning Engineers develop a wide range of ML algorithms for various applications. The roles often overlap but differ in focus and project types.

How can I become a Gen AI developer?

To become a Gen AI developer, you should gain strong programming skills in languages like Python, learn machine learning frameworks such as TensorFlow or PyTorch, and develop expertise in natural language processing and large language models. Building a portfolio of AI projects and obtaining relevant certifications can also enhance your qualifications for this role.

Is a Gen AI Developer a promising career?

A Gen AI Developer is a growing role focused on creating and improving generative artificial intelligence systems, often requiring skills in machine learning, deep learning, and programming languages like Python. The demand for such developers is increasing as AI applications expand across industries, making it a promising career with strong job growth prospects.

What cities near Georgetown, ON are hiring for Gen Ai Developer jobs?

Cities near Georgetown, ON with the most Gen Ai Developer job openings:

Infographic showing various Gen Ai Developer job openings in Georgetown, ON as of August 2026, with employment types broken down into 74% Full Time, 22% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution.

Senior Machine Learning Engineer, Growth

HelloFresh

Toronto, ON • Hybrid

Full-time

Medical, Dental, PTO

Re-posted 16 hours ago


HelloFresh rating

6.6

Company rating: 6.6 out of 10

Based on 52 frontline employees who took The Breakroom Quiz

11th of 24 rated food delivery companies


Job description

We are seeking a Senior Machine Learning Engineer to join the Growth Tech Alliance. In this role, you will architect and deploy the robust infrastructure behind our intelligent marketing systems. You will be responsible for maturing algorithmic prototypes into high-performance production systems, ensuring our AI-driven marketing optimization is served reliably and autonomously at a global scale.

S'more about the team

We are hiring a Senior Machine Learning Engineer to take our AI tooling to the next level by architecting and deploying the robust infrastructure behind our intelligent marketing optimization systems. You will provide critical engineering execution for our AI initiatives. You will develop scalable microservices for predictive scoring, orchestrate complex LLM-based agents for creative intelligence. As the ML engineering expert for the team, you will drive the maturation of algorithmic prototypes into high-performance production systems with maximum Speed & Agility, shaping the future of how HelloFresh automates marketing at an unprecedented scale.

Lettuce share what this role will be responsible for

As a core member of the engineering team, you will focus on productionizing ML infrastructure across several domains:

  • Build robust integration layers for visual AI pipelines that process multi-modal embeddings that power various predictive models.
  • Transition proof-of-concept models into resilient production microservices and architect LLM-based orchestration frameworks.
  • Engineer high-throughput, low-latency data pipelines to process 1P data and pipeline signals into external platforms like Meta and Google.
  • Collaborate with data scientists and other engineers in a cross-functional team to improve HelloFresh's value forecasting efficiency.
  • Establish CI/CD processes, feature stores, and drift detection to ensure continuous delivery and model reliability.
  • All other duties, as assigned

Sound a-peeling? Here's what we're looking for

  • Experience leading the end-to-end lifecycle of production ML systems, from architectural design to scalable deployment and monitoring.
  • Expertise in leveraging hyperscaler ecosystems (AWS, GCP, Azure) to build cost-effective, resilient, and automated ML infrastructure.
  • Deep technical proficiency with modern ML frameworks (PyTorch, TensorFlow, HuggingFace)
  • Expert programming skills in Python and PySpark.
  • A BS/MS in Computer Science or a related engineering field, coupled with a proven track record of bringing ML systems from prototype to high-traffic production.
  • Proven experience engineering robust data architectures that reliably process and combine diverse data formats, ranging from structured offline conversion data to unstructured multimedia assets.
  • A demonstrated bias for action and extreme ownership, eager to adopt Gen AI tools to creatively solve architectural challenges and enhance engineering velocity.

Let's cut to the cheese, this is why you'll love it here

  • Box Discount - Amazing discounts on 1 box per week! 75% discount on weekly HelloFresh and Chefs Plate meal kits AND 50% off weekly Factor meal box.
  • Health & Wellness - Health & Dental benefits from day 1, a Health Spending Account, unlimited access to the Headspace app to meet your self-care needs, and 25% discount on GoodLife fitness memberships!
  • Vacation & PTO - Time off is also an important part of self-care! We offer generous vacation and PTO to help you create a good work-life balance. 
  • Family Benefits - A parental leave top-up program for expectant parents.
  • Growth & Development - We support your career progression and invest in your continued learning through experiences and initiatives owned by our dedicated L&D team
  • Work Hard & Have Fun - From team socials to engaging company days, you'll have plenty of opportunity to experience the fun!
  • Diversity & Inclusion Initiatives - With impactful ERG's like FreshPride, Women Empowered and LIMES, we are committed to our diversity, equity & inclusion efforts.
  • Food Puns - this one is kind of a big dill if you haven't already noticed. We even have some punny meeting room names!

Flexible Hybrid Approach

At HelloFresh, we know that flexible work arrangements are essential in enabling you to do your best work, while balancing your personal and life needs. Offering remote work flexibility, along with the opportunity to interact and collaborate in the office are all a part of creating a great employee experience. 

To meet these needs, we are pleased to provide Flexible Hybrid work. Flexible Hybrid is a people-first approach that is based on choice, trust, personalization, and empowers teams to choose when and how often they work from the office and work from home, in addition to team days and company days. This means a minimum of 2 days in office per week, with most teams in office between 2-3 days a week.

#LI-HYBRID

#Engineering

HelloFresh Canada uses AI-integrated technology to help us process and evaluate applications more efficiently. This includes tools that screen and assess candidate qualifications based on the requirements for this role. While these tools assist our workflow, all final selection decisions are made by our hiring team.

This is a posting for an existing vacancy. We are actively seeking to fill this position.


What HelloFresh employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


HelloFresh logo

About HelloFresh

Sourced by ZipRecruiter

HelloFresh is a meal-kit company based in Berlin, Germany. It is the largest meal-kit provider in the United States and also has operations in Australia, Canada, New Zealand, and the United Kingdom, as well as Europe (Germany, Austria, Switzerland, Belgium, Netherlands, Luxembourg, France, Italy, Ireland, Spain and Scandinavia). HelloFresh’s mission is to change the way people eat forever by helping consumers save money with every meal, democratizing access to high-quality food, allowing everyone to enjoy a varied and tasty diet, and reducing food waste through CO2 neutral delivery of every box.

Industry

Food services and drinking places

Company size

1,001 - 5,000 Employees

Headquarters location

New York, NY, US