Senior AI Engineer

Akkodis; Toronto; On-site; CAD 100,000 - 140,000; Full time

Job summary

A leading company is seeking a Senior Technical Recruiter & Talent Acquisition Specialist to lead AI initiatives and drive innovation in data science. The ideal candidate will have a strong background in AI, data science, and collaboration, and will join a dynamic team working on cutting-edge financial technology solutions.

Benefits

Performance bonuses

Flexible benefits from day one

Retirement savings support through RRSP matching

Access to unlimited Coursera and educational assistance

Holistic wellness program with 24/7 virtual healthcare

Paid year-end company closure

Qualifications

• 8+ years of experience in data science or computer engineering.
• 1 year of hands-on experience building Generative AI solutions.
• Background in deploying and managing data science pipelines.

Responsibilities

• Design and implement enterprise-scale AI solutions.
• Collaborate with cross-functional teams to integrate AI insights.
• Contribute to data science center of excellence and promote best practices.

Skills

Data Science

Machine Learning

Programming

Collaboration

Communication

Education

Master’s degree in quantitative discipline

PhD (plus)

Tools

Azure

AWS

Databricks

Snowflake

Job description

This range is provided by Akkodis. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

CA$100,000.00/yr - CA$140,000.00/yr

Direct message the job poster from Akkodis

Senior Technical Recruiter & Talent Acquisition Specialist, CHRL Candidate

Our client is transforming the way businesses and consumers interact by reimagining commerce through cutting-edge financial technology. They empower their teams with the tools, support, and freedom to innovate—connecting ideas and technology to shape how people pay and do business.

Reporting To: Director, Data Science and Development

About the Role

As a senior technical leader in the data science team, you’ll play a pivotal role in designing and deploying AI-driven solutions that have a broad impact across the organization. You’ll bring deep expertise in data science and machine learning, and help guide innovation strategies, best practices, and the development of scalable AI systems.

Key Responsibilities

• Serve as a subject matter expert in AI and data science, with influence across multiple business lines and product areas.
• Lead the design and implementation of enterprise-scale AI solutions, including production-grade model deployment, monitoring, and lifecycle management.
• Drive innovation by developing new strategies, tools, and processes that enhance the organization’s data science capabilities.
• Collaborate with cross-functional teams—including developers, business stakeholders, and fellow data scientists—to embed AI insights into business operations.
• Build and maintain tools to monitor model performance and ensure reliability in production environments.
• Share research findings and methodologies with internal teams to foster a culture of learning and excellence.
• Contribute to the data science centre of excellence by promoting best practices, mentoring peers, and championing new approaches.
• Lead the rollout of AI initiatives with a focus on business-critical applications and long-term scalability.

What You Bring

• Master’s degree in a quantitative discipline (PhD is a plus) or equivalent professional experience.
• 8+ years of experience in data science or computer engineering.
• At least 1 year of hands-on experience building Generative AI solutions.
• Proficiency in multiple programming languages with the ability to work independently.
• Experience with cloud platforms (Azure or AWS), and familiarity with tools like Databricks and Snowflake is a plus.
• Strong background in deploying and managing data science pipelines in production environments.
• Excellent collaboration and communication skills, with the ability to influence and engage stakeholders across the organization.

What You’ll Get

• A comprehensive rewards package including performance bonuses, flexible benefits from day one, and your choice of a health or personal spending account.
• Retirement savings support through RRSP matching and a defined contribution pension plan.
• Access to continuous learning opportunities, including unlimited Coursera access and educational assistance.
• A holistic wellness program with 24/7 virtual healthcare, mental health support, and wellness events.
• A workplace that values diversity, equity, and inclusion, supported by employee groups, mentorship programs, and educational resources.
• Paid year-end company closure and additional personal days for religious, volunteer, or personal needs.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Consulting

• Industries

  IT Services and IT Consulting

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