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Aiml Engineer Jobs in Toronto, ON (NOW HIRING)

Data Scientist II

Toronto, ON · On-site

CA$81K - CA$115K/yr

Use programming languages (Python, Pyspark, SQL) to extract and prepare data, apply statistics and ... Collaborate with other partners, such as AIML scientists, data and business analysts, and product ...

... AIML and Generative AI solutions using Python - Build and finetune machine learning and large ... engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data ...

Aiml Engineer information

What is the difference between Aiml Engineer vs Data Scientist?

AspectAiml EngineerData Scientist
Required CredentialsBachelor's in CS, AI, or related; knowledge of AIML, programmingBachelor's or higher in CS, Statistics, or related; expertise in data analysis, programming
Work EnvironmentDeveloping AIML chatbots, virtual assistants, AI applicationsAnalyzing data, building predictive models, data visualization
Industry UsageTech companies, AI startups, customer service automationFinance, healthcare, marketing, tech firms

While Aiml Engineers focus on creating AIML-based chatbots and AI applications, Data Scientists analyze data to derive insights and build models. Both roles require programming skills and work in tech-driven environments, but Aiml Engineers specialize in AIML language and chatbot development, whereas Data Scientists work with broader data analysis and machine learning techniques.

What do Aiml engineers do?

Aiml engineers develop and implement artificial intelligence and machine learning algorithms using AIML (Artificial Intelligence Markup Language) to create chatbots and conversational agents. They analyze user interactions, design dialogue systems, and often work with programming languages like Python or Java, as well as AI development tools. Their role involves testing, refining, and maintaining AI models to improve system performance and user experience.

What is Aiml engineer salary?

The salary of an AIML engineer typically ranges from $70,000 to $130,000 annually, depending on experience, location, and skill level. Senior roles or those with expertise in deep learning and natural language processing may earn higher salaries. Certifications in AI and machine learning can also influence compensation.

What job categories do people searching Aiml Engineer jobs in Toronto, ON look for?

The top searched job categories for Aiml Engineer jobs in Toronto, ON are:

Infographic showing various Aiml Engineer job openings in Toronto, ON as of August 2026, with employment types broken down into 92% Full Time, 4% Part Time, and 4% Contract. Highlights an 83% Physical, 7% Hybrid, and 10% Remote job distribution.

Data Scientist II

Td

Toronto, ON • On-site

CA$81K - CA$115K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Work Location:

Toronto, Ontario, Canada

Hours:

37.5

Line of Business:

Analytics, Insights, & Artificial Intelligence

Pay Details:

$81,600 - $115,200 CAD

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Job Description:

Role Overview

As a Data Scientist II in Business Banking, you will be responsible for designing, developing, and delivering advanced analytics solutions that support data-driven decision making. You will collaborate closely with business owners, technology partners, and cross-functional teams to understand objectives, identify data needs, and deliver actionable insights that drive strategic improvement.

This role combines strong technical expertise, analytical thinking, and business partnership to translate complex business problems into scalable data assets, insights, and automated analytics that deliver measurable outcomes across operations and performance management.

Key Responsibilities

  • Leverage analytics, statistical modeling, machine learning, and data mining techniques to uncover insights, support data-driven decision-making, and optimize business outcomes.

  • Partner with business stakeholders to understand objectives, gather requirements, and translate business needs into analytical solutions.

  • Use programming languages (Python, Pyspark, SQL) to extract and prepare data, apply statistics and various advanced analytics along with business acumen to inform recommendations and insights from large datasets.

  • Visualize insights from data to illustrate stories that clearly convey the meaning of results to decision-makers and stakeholders at every level of technical understanding.

  • Collaborate with other partners, such as AIML scientists, data and business analysts, and product owners to develop scalable solutions that retain long term benefit to the business.

  • Clearly communicate the value, principles and math behind the scientific process such as hypotheses testing and statistical validation to drive organizational excellence.

  • Provide thought leadership and/or industry knowledge for own area of expertise and participate in knowledge transfer within the team and business unit.

Requirements:

  • Undergraduate or advanced technical degree (e.g., math, statistics, engineering, finance, or computer science); graduate's degree preferred with progressive work experience

  • 3+ years of relevant experience in analytics, data science and/or consulting, ideally in an influencing or advisory capacity.

  • Demonstrated knowledge and application of analytical languages/tools/platforms such as Python / Pyspark, SQL, Tableau, PowerBI, Databricks, on large datasets with a track record of delivering business impact and results. SAS skills is considered an asset.

  • Strong problem-solving skills, with the ability to navigate ambiguous issues and deliver well-defined solutions.

  • Excellent communication skills, with experience presenting insights to executive leaders and business partners.

  • Able to participate as part of a team with targeted deliverables, working on initiatives designed to improve decisions, processes, systems, and applications which support our businesses.

  • Experience developing data-driven strategies, analytical frameworks, or decision-support solutions is considered a strong asset.

Who We Are:

TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities.

Our Total Rewards Package
Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more

Additional Information:
We're delighted that you're considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we're committed to providing the support our colleagues need to thrive both at work and at home.

Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.


Colleague Development

If you're interested in a specific career path or are looking to build certain skills, we want to help you succeed. You'll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities.

If you're passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.

We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.

Training & Onboarding
We will provide training and onboarding sessions to ensure that you've got everything you need to succeed in your new role.

Interview Process
We'll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.


Accommodation
Your accessibility is important to us. Please let us know if you'd like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.
We look forward to hearing from you!

Language Requirement (Quebec only):

Sans Objet