E

Ernst & Young

Global professional services: consulting, assurance, tax

AI & Data Senior Consultant - AI/ML Engineer

Applied Machine LearningUpdated on Nov 14
Full-timeMontreal, QC, CanadaCA$88k - CA$132kIn-person

About the Job

Requirements

  • A bachelor's degree in Computer Science, Engineering, Data Science, or a related field is required.
  • Experience working with cloud-based AI and machine learning platforms such as Azure, AWS, or Google Cloud Platform is required.
  • At least 2 years of experience developing AI/ML solutions, including at least 1 year of experience testing AI/ML systems, is required.
  • Proficiency in Python and experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn are required.
  • Experience using version control systems such as Git is required.
  • Experience working within Agile development environments is required.
  • Advanced proficiency in both English and French is mandatory.
  • Strong analytical and problem-solving skills, including the ability to think creatively and overcome complex challenges, are required.
  • The ability to work independently, manage priorities effectively, and deliver high-quality results with minimal supervision is required.
  • Strong communication and interpersonal skills, including the ability to collaborate with technical and non-technical stakeholders, are required.
  • Strong organizational and time-management skills, including the ability to balance competing priorities in a fast-paced environment, are required.

Responsibilities

  • Collaborate with client stakeholders to understand business objectives, use cases, and key processes supported by AI-driven solutions.
  • Partner with cross-functional teams, including architects, engineers, and business stakeholders, to translate requirements into scalable and robust AI solutions that integrate within client technology environments.
  • Stay current with emerging AI technologies, tools, and industry trends through continuous learning, experimentation, and innovation.
  • Develop and execute comprehensive test strategies for AI applications covering functionality, performance, security, reliability, and ethical considerations.

Desired Qualifications

  • A strong understanding of AI testing methodologies and frameworks, including model validation, bias detection, performance evaluation, robustness testing, and security assessments, is preferred.
  • Familiarity with Large Language Models (LLMs), Natural Language Processing (NLP), Generative AI technologies, and related frameworks is preferred.
  • Experience using AI testing and validation tools such as DeepChecks or similar platforms is preferred.
  • Experience designing, developing, and testing APIs and system integrations is preferred.
  • Full professional fluency in both French and English is required for regular collaboration with clients, teams, and stakeholders across Canada and globally.

About the Company

Ernst & Young

Global professional services: consulting, assurance, tax

EY (Ernst & Young) provides professional services at a global scale, offering consulting, assurance, tax, and transaction advisory services. It serves clients across industries such as technology, media, real estate, hospitality, and construction. Instead of selling a single product, EY works with clients through tailored engagements where cross-disciplinary teams analyze challenges, design strategies, perform audits, help with tax planning, and assist with mergers or divestitures. What sets EY apart is its worldwide reach and integrated service model, industry-specific expertise, and focus on responsible business practices like sustainability, cybersecurity, and workforce flexibility. EY’s goal is to help organizations improve performance, manage risk, and achieve sustainable growth while building a better working world.

Company size
5,001-10,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Boston, MA
Founded
1991

Recently Posted Jobs

Explore more opportunities at Ernst & Young

See more jobs