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Machine Learning Developer Intern Jobs in Ottawa, ON

BDO Canada

AI Engineer

Ottawa, ON · On-site

CA$77K - CA$117K/yr

Practical experience with DevOps and MLOps practices, including Docker, Kubernetes, and CI/CD pipelines for machine learning workloads. * Familiarity with machine learning lifecycle and ...

Spaceium

Robotic AI Engineer

Ottawa, ON · On-site

CA$75K - CA$110K/yr

You will work at the intersection of robotics, machine learning, and space systems, building AI ... Strong programming skills in Python * Experience with machine learning frameworks (PyTorch ...

Actalent

DSP Algorithm Engineer

Ottawa, ON

CA$50 - CA$68/hr

DSP Algorithm Engineer Join our central AI and Chip Engineering organization at the Ottawa ... Implement machine learning, computer vision, or signal processing algorithms on embedded platforms.

New

Actalent

DSP Algorithm Engineer

Ottawa, ON

CA$50 - CA$68/hr

DSP Algorithm Engineer Join our central AI and Chip Engineering organization at the Ottawa ... Implement machine learning, computer vision, or signal processing algorithms on embedded platforms.

New

Larus Technologies

Data Scientist

Ottawa, ON · On-site

... and Engineering, focusing on innovations in Artificial Intelligence, Machine Learning, and Data Science.​ We invite enthusiastic and qualified applicants to submit their cover letter and resume ...

Trellis

Senior Full Stack Developer

Kanata, ON

We're looking for a passionate Senior Full-Stack Developer who wants to make a difference in a fast ... Machine Learning and Algorithms Compensation * Competitive Salary * Stock options * Comprehensive ...

Bank of Canada

Developer, Cyber Detection

Ottawa, ON · On-site

Developer, Cyber Detection Take a central role The Bank of Canada has a vision to be a leading ... Integrate AI and machine learning to enhance detection logic, automate analysis, and enrich threat ...

Larus Technologies

Software Engineer

Ottawa, ON · On-site

Our Software Engineering team is currently developing end-to-end real-time solutions for the public ... Machine Learning (ML), Big Data Analytics, and Decision Support Systems (DSS). Larus has three core ...

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All JobsMachine Learning Developer Intern JobsMachine Learning Developer Intern Jobs in Ottawa, ON

Machine Learning Developer Intern information

What does a machine learning developer intern do?

A Machine Learning Developer Intern assists with developing, testing, and implementing machine learning models and algorithms under the guidance of experienced engineers or data scientists. Their tasks may include data preprocessing, model training, evaluating model performance, and helping deploy models into production environments. Interns often collaborate with team members to solve real-world problems using machine learning techniques and may also assist in researching new methodologies or optimizing existing solutions. This role provides hands-on experience in coding, data analysis, and applying theoretical concepts to practical scenarios.

What are the key skills and qualifications needed to thrive as a machine learning developer intern?

To thrive as a Machine Learning Developer Intern, you need a solid understanding of programming (especially Python), statistics, and machine learning concepts, often supported by coursework or relevant project experience. Familiarity with ML frameworks like TensorFlow or PyTorch, and tools such as Jupyter Notebooks and version control systems like Git, is typically expected. Strong analytical thinking, eagerness to learn, and effective communication help interns contribute to team projects and adapt quickly. These skills are essential for solving real-world problems, collaborating with teams, and building a foundation for a successful career in machine learning.

How do machine learning developer interns typically collaborate with data scientists and engineers during their internship?

Machine Learning Developer Interns often work closely with data scientists to understand the problem domain, gather relevant datasets, and select appropriate models. They also collaborate with software engineers to integrate machine learning solutions into existing systems, ensuring scalability and performance. Regular communication through stand-up meetings, code reviews, and collaborative platforms is common, allowing interns to learn best practices and receive feedback on their work. This teamwork not only enhances technical skills but also provides valuable exposure to real-world deployment and project lifecycle management.

What is the difference between Machine Learning Developer Intern vs Data Scientist Intern?

AspectMachine Learning Developer InternData Scientist Intern
Required CredentialsTypically pursuing or recently completed a degree in Computer Science, Data Science, or related fields; knowledge of programming languages like Python or JavaSimilar educational background; strong skills in statistics, programming, and data analysis
Work EnvironmentHands-on experience with ML models, algorithms, and software development in tech or research settingsData analysis, visualization, and interpretation in business or research contexts
Employer & Industry UsageTech companies, startups, research labs focusing on AI/ML projectsBusiness, finance, healthcare, and research organizations analyzing large datasets

Both roles involve working with data and programming, but Machine Learning Developer Interns focus more on building and deploying ML models, while Data Scientist Interns emphasize data analysis and insights. The roles often overlap, especially in tech environments, but their core tasks differ slightly.

What cities near Ottawa, ON are hiring for Machine Learning Developer Intern jobs?

Cities near Ottawa, ON with the most Machine Learning Developer Intern job openings:

Machine Learning Developer Intern jobs near you

AI Engineer

BDO Canada

Ottawa, ON • On-site

CA$77K - CA$117K/yr

Full-time

PTO

Re-posted 9 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

As an experienced AI Engineer, you will design, build, and deploy productiongrade AI solutions that bridge experimental machine learning with scalable software engineering. In this replacement role, you will play a critical role in enabling enterpriseready AI capabilities with a strong focus on large language models (LLMs), retrievalaugmented generation (RAG), and agentic workflows, operating within established governance frameworks.
Responsibilities:
  • Design, build, and deploy robust, scalable, productiongrade AI applications using frameworks such as LangChain, LlamaIndex, AutoGPT, and related LLM orchestration tools.
  • Develop, refine, and optimize complex prompt strategies; manage model context windows; and finetune models where required to maximize performance, accuracy, and cost efficiency.
  • Integrate AI capabilities into existing enterprise environments through RESTful APIs, microservices, and cloudnative architectures.
  • Build, maintain, and optimize vector databases (e.g., Pinecone, Milvus, Weaviate) and design efficient data ingestion and embedding pipelines to support retrievalaugmented generation (RAG) solutions.
  • Monitor AI systems in production and proactively address issues related to hallucinations, latency, reliability, scalability, and tokencost optimization.
  • Collaborate closely with AI Architects, AI Studio Leads, ML Engineers, Data Scientists, FullStack Developers, Service Line Labs, and Citizen Developers on firmwide initiatives and internal platforms.
  • Support AI system documentation, lifecycle management, and control processes in alignment with ISO/IEC 42001 enterprise governance requirements.
  • Adhere to established AI risk management, data governance, and security policies, and assist with model inventories, traceability, and changemanagement activities.
  • Participate in model testing and validation activities in accordance with the NIST AI Risk Management Framework, including mapping and measuring model risks.
  • Support the implementation of riskmitigation controls and ongoing monitoring, and follow governance processes that promote transparency, accountability, and responsible AI use.

The expected range of compensation for this role is $77,000 to $117,000 annually.

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.

Qualifications:

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field, with 3-5 years of professional experience in AI, machine learning, or applied software engineering.
  • Expertlevel proficiency in Python, with working familiarity in Java and/or TypeScript for enterprise application development.
  • Deep handson experience with leading AI and LLM frameworks, including OpenAI APIs, Anthropic, Hugging Face, and LangGraph, along with a strong understanding of LLMbased application design.
  • Proven experience designing and implementing retrievalaugmented generation (RAG) and agentic AI systems, supported by a solid grasp of scalable, productiongrade AI architectures.
  • Experience working with vector databases as well as SQL and NoSQL data stores, and handson exposure to cloud platforms such as Azure AI / AI Foundry, AWS Bedrock, or Google Cloud Platform (GCP).
  • Practical experience with DevOps and MLOps practices, including Docker, Kubernetes, and CI/CD pipelines for machine learning workloads.
  • Familiarity with machine learning lifecycle and experimenttracking tools such as MLflow or Weights & Biases.


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.

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.

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 flexible benefits from day one, and a market leading personal time off policy. We are committed to supporting your overall wellness beyond working hours and provide reimbursement for wellness initiatives that fit your lifestyle.


Everyone counts: We believe every employee should have the opportunity to participate and succeed. Through leadership by our Diversity, Equity and Inclusion Leader, we are committed to a workplace culture of respect, inclusion, and diversity. We recognize and celebrate the valuable differences among each of us, including race, religious beliefs, physical or mental disabilities, age, place of origin, marital status, family status, gender or gender identity and sexual orientation. 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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