AI and Data - Senior Consultant - AI/ML Engineer

Ernst & Young Advisory Services Sdn Bhd; Montreal (administrative region); On-site; CAD 80,000 - 100,000; Full time

Job summary

A global consulting firm is seeking a Senior Consultant - AI/ML Engineer in Montreal. This role involves collaborating with clients to develop AI solutions, testing AI applications, and working in a cross-functional team. Candidates must have a Bachelor's in a relevant field, 2+ years in AI/ML, and bilingual skills in French and English. A competitive compensation package and commitment to diversity are offered, making this a great opportunity for career advancement.

Benefits

Comprehensive medical coverage

Defined contribution pension plan

Great vacation policy

Opportunities for skills development

Qualifications

• 2+ years of experience developing AI/ML solutions, including at least 1 year of AI/ML testing experience.
• Experience with cloud-based AI services (e.g., AWS, Azure, GCP).
• Familiarity with testing methodologies for AI systems.

Responsibilities

• Collaborate with client stakeholders to understand key business processes.
• Work closely with cross-functional teams to translate requirements into robust AI solutions.
• Create comprehensive test plans for AI-based applications.

Skills

Problem-solving skills

Creative thinking

Excellent communication

Excellent time management

Education

Bachelor’s degree in Computer Science, Engineering, or related field

Tools

Python

Tensorflow

PyTorch

Scikit-learn

Git

Job description

AI and Data - Senior Consultant - AI/ML Engineer

Other locations: Primary Location Only

Date: May 3, 2025

Requisition ID: 1580130

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

The opportunity

Your key responsibilities

• Collaborate with our client stakeholders to understand use cases and key business processes that the AI solutions will support.
• Work closely with cross-functional teams, architects, engineers to translate requirements in robust AI solutions integrating without client’s technology stack.
• Continuously learn, experiment, and test new AI tools, platforms, technologies, and techniques.
• Create comprehensive test plans for AI-based applications, covering functional, performance, security, and ethical considerations.

Skills and attributes for success

• Strong problem‑solving skills and the ability to think creatively to overcome obstacles.
• Ability to work independently with minimal supervision.
• Excellent communication and interpersonal skills, with the ability to work collaboratively with both technical and non‑technical stakeholders.
• Excellent time management and organizational skills, with the ability to prioritize competing demands effectively.

To qualify for the role you must have

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• Experience with cloud‑based AI services (e.g., AWS, Azure, GCP).
• 2+ years of experience developing AI/ML solutions, including at least 1 year of AI/ML testing experience.
• Proficiency in Python and frameworks such as Tensorflow, PyTorch, or Scikit‑learn.
• Familiarity with version control tools (e.g., Git).
• Experience working in agile development environments.

Ideally, you’ll also have

• Strong understanding of testing methodologies and frameworks for AI systems, including bias testing, performance testing, and security testing.
• Familiarity with Large Language Models, Natural Language Processing (NLP), and AI frameworks.
• Experience with testing tools such as DeepChecks, or similar AI‑focused.
• Experience in API integration and development.
• This role involves interaction with clients operating nationally and globally where fluency in French and English is required. Bilingualism in both French and English is therefore a requirement of this role.

What we offer

At EY, our Total Rewards package supports our commitment to creating a leading people culture – built on high‑performance teaming – where everyone can achieve their potential and contribute to building a better working world for our people, our clients and our communities. It’s one of the many reasons we repeatedly win awards for being a great place to work.

We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package allows you to decide which benefits are right for you and which ones help you create a solid foundation for your future. Our Total Rewards package includes comprehensive medical, prescription drug and dental coverage, a defined contribution pension plan, a great vacation policy plus firm paid days that allow you to enjoy longer long weekends throughout the year, statutory holidays and paid personal days (based on province of residence), and a range of exciting programs and benefits designed to support your physical, financial and social well‑being. Plus, we offer:

• Support, coaching and feedback from some of the most engaging colleagues around.
• Opportunities to develop new skills and progress your career.
• The freedom and flexibility to handle your role in a way that’s right for you.

Diversity and Inclusion at EY

Diversity and inclusiveness are at the heart of who we are and how we work. We’re committed to fostering an environment where differences are valued, policies and practices are equitable, and our people feel a sense of belonging. We embrace diversity and are committed to combating systemic racism, advancing gender equity and women in leadership, advocating for the 2SLGBTQIA+ community, promoting our neuroinclusion and accessibility initiatives, and are dedicated to amplifying the voices of Indigenous peoples (First Nations, Inuit, and Métis) nationally as we strive towards reconciliation. Our diverse experiences, abilities, backgrounds and perspectives make our people unique and help guide us. Because when people feel free to be their authentic selves at work, they bring their best and are empowered to build a better working world.