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Machine Learning Engineer Intern Jobs in Hamilton, ON

Build custom machine learning models and natural language processing systems using state-of-the-art ... Programming Languages: Expert-level Python is required. Professional proficiency in R, Scala, Java ...

Build custom machine learning models and natural language processing systems using state-of-the-art ... Programming Languages: Expert-level Python is required. Professional proficiency in R, Scala, Java ...

CARE-AI is expanding its capacity to develop and deliver machine learning models, agents and ... The developer will engage with diverse stakeholders to translate business problems into technical ...

We want you on board because you are keen on learning from and working with our dynamic team. In ... We are one of Canada's largest developers, building communities for people to live in; developing ...

... Engineering Unit: EECS_ST Job Classification: Teaching Assistant/Demonstrator/Lab Monitor (CUPE) Posting Type: Cours precis / Specific course Course Title: Machine Learning Course Code: CSI5155 ...

New

Expertise in machine learning frameworks such as TensorFlow, Pytorch, and Keras * Strong understanding of software and AI development lifecycles, with experience in DevOps and MLOps practices

The Project Coordinator Intern must be able to follow up on the work in progress with the clients ... Enrolled in a related field of study such as Engineering, Contract Management or Project Management.

... engineering experience to turn complex data into actionable insights. In this role, you will ... You bring expertise in time series forecasting, demand modeling, and machine learning, along with ...

R2852357 Senior Data Engineer Location: Toronto, ON About the job Ready to push the limits of what ... Working with renown leaders and academics in machine learning to further develop your skillsets

R2852357 Senior Data Engineer Location: Toronto, ON About the job Ready to push the limits of what ... Working with renown leaders and academics in machine learning to further develop your skillsets

... Stack Engineer to join our IT team. In this role, you will lead the design, development, and ... Position Description AI & Machine Learning * Act as the internal SME for AI strategy, tooling ...

Leverage natural language processing (NLP), LLM, and machine learning (ML) techniques, including ... Experience with programming languages such as JavaScript, Python, or Node.js. * Familiarity with ...

Apply Early

Leverage natural language processing (NLP), LLM, and machine learning (ML) techniques, including ... Experience with programming languages such as JavaScript, Python, or Node.js. * Familiarity with ...

Apply Early

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Machine Learning Engineer Intern information

What types of projects and tasks do Machine Learning Engineer Interns typically work on?

Machine Learning Engineer Interns are often involved in data preparation, feature engineering, model development, and performance evaluation under the guidance of senior engineers or data scientists. You may help implement and test machine learning algorithms, assist in cleaning and visualizing datasets, and contribute to code reviews or research tasks. Interns frequently collaborate with cross-functional teams, such as data scientists, software engineers, and product managers, to solve real-world problems and support ongoing projects. This hands-on experience provides valuable insights into the practical application of machine learning in a professional setting.

What is a Machine Learning Engineer Intern job?

A Machine Learning Engineer Intern is a temporary, entry-level role where individuals work with data scientists and engineers to develop, test, and optimize machine learning models. Interns typically assist in data preprocessing, feature engineering, model training, and evaluation. They may also work on improving existing algorithms, implementing research papers, or deploying models into production. This role provides hands-on experience with machine learning frameworks such as TensorFlow and PyTorch, as well as coding in Python and working with large datasets. The internship helps build practical skills and industry experience in artificial intelligence and data science.

What are the key skills and qualifications needed to thrive in the Machine Learning Engineer Intern position, and why are they important?

To thrive as a Machine Learning Engineer Intern, you need a solid understanding of programming languages such as Python, knowledge of machine learning algorithms, and experience with data analysis, typically supported by coursework in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is often required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills in this role. These competencies enable interns to contribute meaningfully to projects, collaborate efficiently with teams, and adapt in a fast-paced, tech-driven environment.

What job categories do people searching Machine Learning Engineer Intern jobs in Hamilton, ON look for? The top searched job categories for Machine Learning Engineer Intern jobs in Hamilton, ON are:
What cities near Hamilton, ON are hiring for Machine Learning Engineer Intern jobs? Cities near Hamilton, ON with the most Machine Learning Engineer Intern job openings:

AI Scientist & Engineer, ASR

BDO Canada

Kitchener, ON

CA$98K - CA$128K/yr

Full-time

PTO

Posted 29 days ago


Job description

Putting people first, every day

BDO is a firm built on a foundation of positive relationships with our people and our clients. Each day, our professionals provide exceptional service, helping clients with advice and insight they can trust. In turn, we offer an award-winning environment that fosters apeople-first culturewith a high priority on your personal and professional growth.

Your Opportunity

We are looking for an exceptionally skilled, hands-on, and innovation-minded AI Scientist & Engineer to bridge the gap between advanced data science, experimental machine learning, and scalable enterprise software engineering in our new Assurance Innovation Lab. You will be working with our high-performing innovation team, dedicated SMEs from our assurance practice and highly skilled professionals from our AI Studio, nationwide.

This hybrid role is responsible for extracting high-value insights from complex datasets, training custom large language models (LLMs), and designing, building, and deploying production-grade agentic workflows and retrieval-augmented generation (RAG) solutions. Operating under enterprise governance frameworks like ISO/IEC 42001 and the NIST AI Risk Management Framework (AI RMF), you will deliver responsible, scalable, and highly impactful AI systems that drive true business transformation.

The ideal candidate for this net new role will have 3-5 years of hands-on experience building, fine-tuning, deploying, and monitoring machine learning models and Generative AI solutions in an enterprise production environment. This role rests on the ability to work cross-functionally with AI Architects, AI Studio Leads, ML Engineers, Data Scientists, Full Stack Developers, and citizen developers on firm-wide strategic initiatives.

Responsibilities:

  • Collect, clean, and transform large, complex datasets for analysis.

  • Build custom machine learning models and natural language processing systems using state-of-the-art techniques.

  • Leverage tools like TensorFlow, PyTorch, Kubernetes, and Nvidia Triton Servers to develop specialized large language models tailored to business needs.

  • Train, evaluate, and optimize models for accuracy, explain-ability, and ethical alignment.

  • Clearly communicate technical analysis and results to stakeholders using data visualizations, reports, and presentations.

  • Continuously monitor models and data pipelines in production to ensure quality and reliability.

  • Stay up to date on the latest advancements in deep learning, NLP, reinforcement learning, and other AI methods.

  • Understand our Assurance practice end-to-end, and the current and future needs of our Assurance practitioners

How do we define success for your role?

  • You demonstrate BDO's core values through all aspect of your work: Integrity, Respect and Collaboration

  • You understand your client's industry, challenges, and opportunities; clients describe you as positive, professional, and delivering high-quality work

  • You identify, recommend, and are focused on effective service delivery to your clients

  • You share in an inclusive and engaging work environment that develops, retains & attracts talent

  • You actively participate in the adoption of digital tools and strategies to drive an innovative workplace

  • You grow your expertise through learning and professional development.

Technical Requirements:

  • Programming Languages: Expert-level Python is required. Professional proficiency in R, Scala, Java, or TypeScript is highly desirable.

  • AI & LLM Frameworks: Deep experience with OpenAI API, Anthropic, Hugging Face, LangChain, LlamaIndex, and LangGraph.

  • Data Science & Deep Learning: Comprehensive experience with PyTorch, TensorFlow, Scikit-Learn, Pandas, NumPy, and Matplotlib.

  • Model Training: Practical knowledge of training and fine-tuning open-source LLMs/transformers (e.g., Llama, Mistral) and implementing Knowledge Graphs.

  • Data & Vector Infrastructure: Hands-on experience with Pinecone, Milvus, Weaviate, and standard SQL/NoSQL databases.

  • DevOps / MLOps: Advanced proficiency with Docker, Kubernetes, Nvidia Triton Inference Server, and MLOps tracking platforms (MLflow, Weights & Biases).

  • Cloud Platforms: Strong working knowledge of enterprise cloud environments including Microsoft Azure (Azure AI / AI Foundry), AWS (Bedrock), or GCP.

  • Architecture & Patterns: Demonstrated mastery of Retrieval-Augmented Generation (RAG) architectures and multi-Agent AI design patterns.

Ideal Candidate Will Have:

  • A systematic approach to problem-solving and devising practical solutions for complex enterprise bottlenecks.

  • Published academic research in top-tier ML/AI conferences/journals OR demonstrated practical excellence through Kaggle competitions.

  • High passion for translating complex data and multi-agent system capabilities into tangible, actionable business value.

The expected range of compensation for this role is $98,000 to $128,000 annually.


Why BDO?
Our people-first approach to talent has earned us a spot among Canada's Top 100 Employers for 2026. This recognition is a milestone we're thrilled to add to our collection of awards for both experienced and student talent experiences.


At BDO, our people experience is guided by three core pillars-Do work with genuine care, Do what matters with purpose, and Do what's next - shaping how we support our people, serve our clients, and grow together.

Our firm is committed to providing an environment where you can be successful in the following ways:

  • We enable you to engage with how we change and evolve, being a key contributor to the success and growth of BDO in Canada.
  • We help you become a better professional within our services, industries, and markets with extensive opportunities for learning and development.
  • We support your achievement of personal goals outside of the office and making an impact on your community.
  • We foster a collaborative, inclusive environment where your ideas are valued, and you can do your best work with genuine care and purpose
  • We encourage innovation and forward thinking, empowering you to embrace what's next and help shape the future of our firm

Giving back adds up:Where company meets community.BDO is actively involved in our communities by supporting local charity initiatives. We support staff with local and national events where you will be given the opportunity to contribute to your community.

Total rewards that matter: We pay for performance with competitive total cash compensation that recognizes and rewards your contribution. We provide comprehensive benefits from day one, and a flexible personal time off policy. We're committed to supporting your overall wellbeing and provide reimbursement for wellness initiatives that fit your lifestyle.

Everyone counts:
We are committed to creating a workplace where employees can participate fully, contribute meaningfully and succeed without barriers. We are dedicated to fostering a workplace defined by respect, fairness, and a true sense of belonging for everyone. We recognize and celebrate the unique experiences, identities, and perspectives that each of us bring - and that these experiences strengthen how we work together. Our commitment extends to ensuring that our application process is both inclusive and accessible. If you require accommodation to complete the application process, please contact us.


Flexibility:
All BDO personnel are expected to spend some of their time working in the office, at the client site, and virtually unless accommodations or alternative work arrangements are in place.

Our model is a blended approach designed to support the flexible needs of our people, the firm and our clients. It's about creating work experiences that meet everyone's needs and providing flexibility to adjust when, where and how we work to meet the expectations of our role.

Code of Conduct: Our Code of Conduct sets clear standards for how we conduct business. It reflects our shared values and commitments and includes guiding principles to help us make ethical decisions and maintain trust with each other, our clients, and the public.

BDO may use artificial intelligence enabled tools to support certain aspects of the recruitment process. While these tools assist our teams, our use of AI does not replace human decision making, and all employment-related outcomes are made by BDO personnel.

More information on BDO Canada's Privacy Policy can be found here:

Privacy Policy | BDO Canada


Ready to make your mark at BDO? Click "Apply now" to send your up-to-date resume to one of our Talent Acquisition Specialists.


To explore other opportunities at BDO, check out ourcareers page.


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