Machine Learning Engineer Intern Jobs in Alberta

DataVisor is the world's leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's solution scales infinitely and enables organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine and investigation tools work together to provide guaranteed performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe.

Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results-driven. Come join us!

Position Overview:

We are seeking a Delivery Engineer to join our Delivery team. The ideal candidate will lead client communications and drive end-to-end project delivery, while designing and implementing innovative integration solutions that meet both technical and business requirements.This role requires close collaboration with clients, sales teams, and internal stakeholders to ensure successful project outcomes. As a technical delivery leader, the TPM will own and manage all engineering work streams, coordinating across teams to keep projects on schedule and aligned with scope. The role is hands-on, requiring the ability to contribute directly to technical implementation and problem-solving as needed.

Key Responsibilities:

• Manage and drive client communications throughout the entire project delivery, align different client stakeholders, ensure project is delivered successfully without delay.
• Work closely with clients, sales teams, and other stakeholders to ensure successful project outcomes.
• Understand the client's product and business logic to recommend the best solution that addresses specific client needs. Provide strong solution and consulting services.
• Take the project management role to ensure the client onboarding project runs as expected and under control.
• Provide technical expertise and guidance throughout the implementation and deployment phases, to integrate with the client systems.
• Work closely with product and engineering teams to ensure seamless integration of new features and technologies into existing systems.
• Stay updated on financial services industry trends and emerging technologies to continuously improve our solutions and offerings.
• Conduct presentations and demonstrations of proposed solutions to clients and stakeholders.

Requirements

Qualifications:

• Bachelor's degree in Computer Science, Engineering or a related field is required; a Master's degree in a business-related discipline (e.g., MBA, MIS, Information Systems, Management, or Analytics) is preferred.
• Basic understanding of software development, system architecture, and system integration concepts; exposure to SaaS platform data integration is a plus.
• Strong verbal and written communication skills, with the ability to clearly explain technical concepts to both technical and non-technical audiences.
• Enjoys working with clients and stakeholders, with a service-oriented mindset and interest in client-facing responsibilities.
• Ability to work collaboratively in a team environment and support multiple projects under guidance and supervision.
• Demonstrates strong problem-solving skills, attention to detail, and a willingness to learn in a fast-paced environment.
• Familiarity with anti-fraud concepts in the financial services or internet industry is a plus.
• Exposure to real-time computing, big data technologies, or machine learning through coursework, internships, or project experience is a plus.

Benefits

1. Health Insurance, PTO, stock option

2. The expected salary range for this role is CAD $80,000 - $120,000 per year, depending on experience, qualifications, and location. Final compensation will be determined based on job-related skills and business needs