03 Aug
|
RBC Borealis
|
Toronto
03 Aug
RBC Borealis
Toronto
Develops and implements advanced artificial intelligence systems and architectures, applying extensive expertise to design innovative solutions that address highly complex organizational challenges and align with strategic objectives. Leads cross functional collaboration with internal teams and external academic research groups to integrate cutting edge artificial intelligence advancements into enterprise systems, ensuring alignment with organizational goals and competitive positioning. Mentors and provides technical guidance to junior developers and teams, fostering skill development and ensuring the successful execution of high impact projects. Drives the evaluation and adoption of new technologies, algorithms, and methodologies, making strategic recommendations to enhance system capabilities, optimize performance, and deliver measurable business value. Leads complex machine learning research engineering initiatives, solving abstract problems and delivering impactful solutions using advanced technical and business expertise. Oversees decision making for highly complex issues with significant financial or operational impact, providing clear direction and actionable recommendations to management on key organizational priorities. Develops and implements innovative solutions to address highly complex machine learning research engineering related problems ensuring alignment with organizational goals. Cultivates and maintains high impact relationships across multiple areas to provide strategic insights and delivering measurable value as a trusted advisor.
Job Description Develops and implements advanced artificial intelligence systems and architectures, applying extensive expertise to design innovative solutions that address highly complex organizational challenges and align with strategic objectives. Leads cross functional collaboration with internal teams and external academic research groups to integrate cutting edge artificial intelligence advancements into enterprise systems, ensuring alignment with organizational goals and competitive positioning. Mentors and provides technical guidance to junior developers and teams, fostering skill development and ensuring the successful execution of high impact projects. Drives the evaluation and adoption of new technologies, algorithms, and methodologies, making strategic recommendations to enhance system capabilities, optimize performance, and deliver measurable business value. Leads complex machine learning research engineering initiatives, solving abstract problems and delivering impactful solutions using advanced technical and business expertise. Oversees decision making for highly complex issues with significant financial or operational impact, providing clear direction and actionable recommendations to management on key organizational priorities.
Develops and implements creative solutions to address highly complex machine learning research engineering related problems ensuring alignment with organizational goals. Cultivates and maintains high impact relationships across multiple areas to provide strategic insights and delivering measurable value as a trusted advisor. Job Skills Analytical Thinking, Decision Making, Detail-Oriented, Long Term Planning, Machine Learning (ML), Product Development Design, Programming Languages, Quantitative Research, Research and Development Operations, Research Documents Additional Job Details Address 777 BAY ST, TH 27:TORONTO City Toronto Country Canada Work hours/week 37.5 Employment Type Full time Platform TECHNOLOGY AND OPERATIONS Job Type Regular Pay Type Salaried Posted Date Application Deadline Note Applications will be accepted until 11:59 PM on the day prior to the application deadline date above At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all. #J-18808-Ljbffr
📌 Machine Learning Research Engineer At Rbc (Toronto)
🏢 RBC Borealis
📍 Toronto