Machine Learning Engineer

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile‑first applications and more. Over the last 20+ years, our company has been honoured with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 16,400+, and has 60 offices in 20 countries within key global markets.

We are seeking a Machine Learning Engineer to build efficient, data‑driven artificial intelligence systems that advance our predictive automation capabilities. The candidate should be highly skilled in statistics and programming, with the ability to confidently assess, analyze, and organize large amounts of data.

Additional Information

The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within Toronto, ON is CAD$120k -CAD$130k / year & benefits (see below).

The Role

• Lead the design, development, and deployment of advanced machine learning models and algorithms to solve complex business problems.
• Working with a team to build digital applications to integrate with ML solution solutions to the users.
• Mentor and guide junior engineers, providing technical expertise and leadership in ML projects.
• Collaborate with cross‑functional teams to integrate ML solutions into various product features.
• Work with large datasets to identify trends, patterns, and insights that drive decision‑making.
• Implement and optimize ML models for high availability, scalability, and performance in production environments.
• Stay up‑to‑date with the latest advancements in AI / ML technologies and apply them to improve our systems.
• Participate in continuous learning and knowledge sharing to ensure the team is always at the cutting edge of technology.
• Conduct code reviews, participate in technical design sessions, and provide mentorship to junior engineers.
• Troubleshoot and resolve issues related to ML models and data pipelines.
• Communicate complex technical concepts to non‑technical stakeholders in a clear and concise manner.
• Develop and maintain comprehensive documentation for ML models and processes.
• Provide strategic input into project planning and execution, ensuring alignment with business goals.

Requirements

Preferred skills

We offer

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