Hybrid AI Scientist & Engineer for Enterprise ML

BDO Canada; Regina; Hybrid; CAD 120,000 - 180,000; Full time

Job summary

BDO Canada is seeking an exceptionally skilled AI Scientist & Engineer for the Assurance Innovation Lab. This hybrid role bridges advanced data science with enterprise software engineering to deliver scalable AI-enabled solutions across our Assurance practice.

The candidate will design, train, deploy, and monitor ML models and Generative AI workflows, collaborating with AI Architects, ML Engineers, Data Scientists, and cross-functional teams to transform business operations responsibly.

Qualifications

• Hands-on experience building, fine-tuning, deploying and monitoring machine learning models in enterprise environments.
• Experience delivering Generative AI-based solutions with considerations for governance and ethical AI.
• Strong collaboration with cross-functional teams to translate business problems into data-driven AI solutions.

Responsibilities

• Design, train, and optimize ML and AI models for Assurance transformation initiatives.
• Develop AI-enabled workflows leveraging NLP, generative AI, knowledge graphs and automation.
• Prototype and scale AI technologies within the Assurance R&D Lab.
• Evaluate model performance, explainability and responsible AI practices.
• Collaborate with Transformation Managers, Assurance practitioners, Data & Analytics, and leadership teams.

Skills

Python

R

Scala

Java

TypeScript

OpenAI API

Anthropic

Hugging Face

LangChain

LlamaIndex

LangGraph

PyTorch

TensorFlow

Scikit-Learn

Pandas

NumPy

Matplotlib

Knowledge Graphs

Pinecone

Milvus

Weaviate

SQL

NoSQL

Docker

Kubernetes

Nvidia Triton Inference Server

MLflow

Weights & Biases

Azure

AWS Bedrock

GCP

RAG

Multi-Agent AI

Job description

BDO Canada is seeking an exceptionally skilled AI Scientist & Engineer for the Assurance Innovation Lab. This hybrid role bridges advanced data science with enterprise software engineering to deliver scalable AI-enabled solutions across our Assurance practice.

The candidate will design, train, deploy, and monitor ML models and Generative AI workflows, collaborating with AI Architects, ML Engineers, Data Scientists, and cross-functional teams to transform business operations responsibly.