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BDO Canada

Provide assurance, tax, and consulting services

AI Scientist & Engineer - Assurance Innovation Lab

Applied Machine Learning +1Confirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • Expert-level proficiency in Python is required.
  • Professional proficiency in R, Scala, Java, or TypeScript is highly desirable.
  • Deep experience with OpenAI API, Anthropic, Hugging Face, LangChain, LlamaIndex, and LangGraph.
  • Comprehensive experience with PyTorch, TensorFlow, Scikit-Learn, Pandas, NumPy, and Matplotlib.
  • Practical knowledge of training and fine-tuning open-source large language models and transformers, such as Llama and Mistral, and implementing knowledge graphs.
  • Hands-on experience with Pinecone, Milvus, Weaviate, and standard SQL/NoSQL databases.
  • Advanced proficiency with Docker, Kubernetes, Nvidia Triton Inference Server, and MLOps tracking platforms such as MLflow and Weights & Biases.
  • Strong working knowledge of enterprise cloud environments including Microsoft Azure (Azure AI/Azure AI Foundry), AWS (Bedrock), or GCP.
  • Demonstrated mastery of Retrieval-Augmented Generation architectures and multi-agent AI design patterns.
  • Three to five years of hands-on experience building, fine-tuning, deploying, and monitoring machine learning models and generative AI solutions in an enterprise production environment.

Responsibilities

  • Design, build, train, and optimize machine learning and AI models to support Assurance transformation initiatives.
  • Develop intelligent solutions using natural language processing, generative AI, knowledge graphs, predictive analytics, and automation capabilities.
  • Support experimentation and prototyping of emerging AI technologies and use cases within Assurance.
  • Evaluate model performance, explainability, reliability, and responsible AI considerations.
  • Contribute to the development of scalable AI-enabled workflows and intelligent operational solutions.
  • Partner with Transformation Relationship Managers, Assurance practitioners, Innovation & Change, Data & Analytics, and leadership teams.
  • Contribute to multidisciplinary teams solving business problems through technology, AI, automation, and workflow redesign.
  • Support rapid experimentation, prototyping, and scaling of innovative solutions within the Assurance R&D Lab.
  • Help bridge strategy, business operations, and technical execution to accelerate transformation outcomes.
  • Translate complex business problems into practical analytical and AI-driven solutions.
  • Participate in discovery sessions, design-thinking workshops, ideation activities, and working groups.
  • Collect, clean, transform, and analyze large and complex datasets from multiple sources.
  • Build and maintain scalable data pipelines and model integration frameworks.
  • Support connected data and intelligence capabilities aligned with the broader Total Assurance Ecosystem strategy.
  • Work with cloud-based environments and modern AI infrastructure to support scalable deployment and operationalization.
  • Collaborate with engineering teams to productionize and operationalize solutions.
  • Work closely with the Assurance R&D Lab to validate concepts, prototype solutions, and scale successful initiatives.
  • Stay informed about emerging trends across AI, automation, Assurance technology, data science, and intelligent systems.
  • Help evaluate external tools, platforms, and ecosystem opportunities relevant to Assurance Transformation.
  • Contribute to a culture of experimentation, innovation, and continuous improvement.

Desired Qualifications

  • Published academic research in top-tier machine learning or AI conferences or journals, or demonstrated practical excellence through Kaggle competitions.
  • A systematic approach to problem-solving and devising practical solutions for complex enterprise bottlenecks.
  • Ability to translate complex data and multi-agent system capabilities into tangible, actionable business value.
  • Strong business curiosity and problem-solving mindset.
  • Passion for applying AI and data science to practical operational challenges.
  • Ability to balance experimentation with scalable execution.
  • Strong collaboration and stakeholder engagement skills.
  • Interest in workflow modernization, intelligent automation, and future-state operating models.
  • Passion for continuous learning and emerging technologies.

About the Company

BDO Canada

Provide assurance, tax, and consulting services

BDO Canada provides professional services to clients in Canada and around the world, including assurance (auditing), tax advisory, and consulting. Their teams across 100 offices in Canada and 1,800 offices in 164 countries work with clients from various sectors to address financial and business needs. Services are delivered by professional experts who collaborate with clients to review finances, optimize taxes, improve operations, and manage risk, using industry knowledge and global resources. What sets BDO Canada apart is its large, country-wide network combined with a global footprint, plus a people-focused approach to talent experience that has earned recognition like Canada’s Top 100 Employers. The company aims to help clients meet domestic and international challenges by providing reliable, multi-disciplinary support across assurance, tax, and advisory services.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Toronto, Canada
Founded
1921

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