The Opportunity:

We are a dynamic, tech-forward company operating in the AI & Data consulting division. We specialize in delivering innovative AI and Machine Learning solutions to diverse industries on a global scale. We are looking for Senior Consultant, Machine Learning Engineering and Manager, Machine Learning Engineering to join the team. By joining us, you would have the Opportunity to -

• Work with a dynamic, tech-forward company.
• Be part of a global team with diverse backgrounds and an inclusive culture.
• Lead a team of forward-thinking experts.
• Shape the AI strategy and architecture of global companies.
• Engage directly with clients and stakeholders.

Skills and attributes for Success

To qualify for the role you must have:

• 3 - 8 years of experience as a Machine Learning Engineer
• Deep understanding of Machine Learning principles, including algorithms such as SVM, logistic regression, and decision trees.
• Mastery of coding languages, particularly Python or Java. Proficiency in SQL, with familiarity in REST APIs and ipynb tools.
• Competency in ML frameworks like TensorFlow, PyTorch, Apache MXNet, sklearn, and data science libraries like pandas and numpy.
• Industry experience (>2 years) in AI/ML projects applied to diverse business use-cases, especially in credit risk modeling, banking, and insurance.
• Solid foundation in system architecture, especially in building and scaling cloud-based solutions and developing end-to-end ML systems.
• Proficiency with version control software (Git, GitHub, Bitbucket), and experience deploying ML models to production.
• Strong communication and presentation skills, along with team management skills.

Ideally, you’ll also have:

• Experience in specialized ML fields such as Generative AI, NLP, Image Processing, and Computer Vision.
• Expertise with cloud platforms, scientific computation software, and machine learning platforms (MATLAB, Octave, MLFlow).
• Experience leading technical teams, designing solution architectures, and effectively communicating complex ideas to clients/stakeholders.
• Certifications in relevant areas such as AzureML or Databricks are highly encouraged to apply.
• Open-source contributions and personal GitHub repositories are viewed favorably.

What we look for:

• Excellent communication and presentation capabilities, with experience selling to clients and handling RFPs.
• Strong leadership skills with prior experience in planning and executing resources for a project.

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 decide which benefits are right for you and which ones help you create a solid foundation for your future.  Our Total Rewards package includes a 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:

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

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, advocating for the 2SLGBT+ community, promoting our Neurodiversity Centre of Excellence and Accessibility initiatives, and are dedicated to amplifying the voices of Indigenous people (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.